[{"run_id":"20260906T231458-5fdd2fff","semester":"1272","observed_at":"2026-09-06 23:14:58.172943+00:00","record_version_id":"b9365cec51844b0d6f79c602224a8b63d9fb1ef4cc98733f217712afd10b8077","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"0007a18cac65862d8cc0db181f2ea90dd8e1b10733c8733ef70dbc9d5efc5545","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing (or FW ECOL 371 prior to Summer 2026)","official_learning_outcomes_json":"[]"},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","record_version_id":"b9365cec51844b0d6f79c602224a8b63d9fb1ef4cc98733f217712afd10b8077","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"0007a18cac65862d8cc0db181f2ea90dd8e1b10733c8733ef70dbc9d5efc5545","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing (or FW ECOL 371 prior to Summer 2026)","official_learning_outcomes_json":"[]"},{"run_id":"20261014T203208-0851c9a1","semester":"1274","observed_at":"2026-10-14 17:50:09.728220+00:00","record_version_id":"7f6cc0cd87848e7724ebae4ac864104ab8b7cafd6b307af071bcfb04f1700bf7","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"7cd646845b8de7fa8be929478598df710f04bbf8d6543bd3b1c641fcce6cbc96","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing (or FW ECOL 371 prior to Summer 2026)","official_learning_outcomes_json":"[{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Demonstrate their understanding of major theories, approaches, concepts, and methods in remote sensing science.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Apply knowledge of the nature and properties of electromagnetic radiation and how it is affected by interactions with the atmosphere and the Earth’s surface.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Identify the techniques, skills, and modern tools necessary for monitoring environmental phenomena with earth observation data.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Identify and appropriately utilize data types from the optical, thermal, and microwave portions of the electromagnetic spectrum, and from a wide range of airborne, satellite and unmanned aerial platforms, including high (greater than 5 m), medium (10-30 m), and coarse (250-1000 m) spatial resolution imagery.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Illustrate the utility of machine learning for big data applications in remote sensing, and apply machine learning theories and tools in practice.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Apply traditional and new forms of data fusion using earth observation imagery and a wide range of geophysical, social, and economic sources.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Identify real-world issues that could benefit from the application of hyper-spectral and hyper-temporal data, and illustrate effective ways to apply these data for each.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Analyze and interpret LiDAR point data clouds and LiDAR data derivatives for applications ranging from forestry to urban sustainability.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Integrate new sources of data from unmanned aerial vehicles (UAVs) for monitoring biodiversity and conservation, and illustrate ways to influence policy with these findings.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Apply a wide range of image processing tools using cloud computing platforms, with particular focus on big data applications.\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:51.945366+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/envir_st/\",\"term\":null,\"text\":\"Communicate effectively through discussion, oral presentations, and written reports.\"}]"},{"run_id":"legacy-03b0bbb9723907cf3d1b41cf0bb34837dc398e42","semester":"1262","observed_at":"2025-04-16 05:20:33.104844+00:00","record_version_id":"45e1d2055a93ca34c868a5da9026f7ab2d4ec425300ead0d004a1d0993713cbf","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0837245627eb714ae6bb0375f7abe8f41042011f","semester":"1262","observed_at":"2025-04-16 05:20:33.104844+00:00","record_version_id":"45e1d2055a93ca34c868a5da9026f7ab2d4ec425300ead0d004a1d0993713cbf","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-08c92e359bbbc110b0778b7e0b15d6f40000e6b1","semester":"1262","observed_at":"2025-08-21 07:05:14.730696+00:00","record_version_id":"1c53b08d8a202bd5b8dd7beee64c6cfae882f50a7f1ffcdfc38a9647985bf276","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0944d76440dc778fbb89626058c10451009ce9c6","semester":"1262","observed_at":"2025-05-21 03:36:18.194118+00:00","record_version_id":"98a22758cb98783b1caa512fb01f06ba2614b3303befe6265596c5dc3a4fb601","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0a7f4bce29c816ef4d3d71b4eb8a2a3e15e33cc1","semester":"1262","observed_at":"2025-06-18 20:04:02.695444+00:00","record_version_id":"5bb2c9084b525984f517e3559da928c024a74c403c3f9e23fd6e35b9220d80c5","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0ab917f827a7de22ebdc1087114d377a31c4687b","semester":"1262","observed_at":"2025-05-22 02:11:02.531191+00:00","record_version_id":"5214164da67a7351ba83b53b162568f6e21bbc502769c36c9de00b2ae61db4f6","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0c40ecab4b6db9333d1f18aef816e3ee659e300c","semester":"1262","observed_at":"2025-05-25 18:02:34.797617+00:00","record_version_id":"f044d23be92df91c15785ee5b535ddaba2c6b99705956615cf04dca453784af8","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0cb4d29a588ec7f11c7e00b7cf5dc3a0d23d0349","semester":"1266","observed_at":"2026-01-22 01:00:26.555427+00:00","record_version_id":"7d284eb39b4b72a12685295def867a9f82ca94a710d9820a5a87f34400121e43","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"4b48af4732261ae8e2b014f4821a215fb3825740eb03869b6b0633c953ebe354","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-11c30ec39e91498cbfcf3a923c53a4b03e387280","semester":"1262","observed_at":"2025-07-20 04:58:26.847117+00:00","record_version_id":"ef51b09f27c4899bc7e8e0fcad570faa54481d40008d75faf981275cea8e54db","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-13cd500edf2587e9a3428f326253738fbea965ea","semester":"1264","observed_at":"2025-12-14 04:50:04.653658+00:00","record_version_id":"dabdca834cb156ecdb3c66d46aede8dd27f22081cb510307601012074077825d","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-1da08b2de39f05e6bc877c189fc2fd6eeda563f5","semester":"1262","observed_at":"2025-07-01 00:03:56.707251+00:00","record_version_id":"5198a10362629385088a945372c9f9d81121988659f56471e99124b6a969294a","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2031af47efe133b0e7877f433286ff07385afc41","semester":"1262","observed_at":"2025-07-02 20:16:45.749584+00:00","record_version_id":"425f21f56c0813b2009cc3351cfbb43b5abe5370b08508dc3fab8922598603e0","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-238eba6f32fbc30407f616dd0628ff02a2a824dd","semester":"1262","observed_at":"2025-08-17 05:15:07.788352+00:00","record_version_id":"b1dcf111ef19b54f1a959215645abe03cf2f4b539bd7e6a61fab84af20711049","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-25f0ff56bc4d80f8a8afa1a0bcce8dae6fddb5e5","semester":"1262","observed_at":"2025-05-25 17:20:25.942090+00:00","record_version_id":"80bc70b6407686c31168ead94507a070b72d148b235942400adcf90107d308be","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2923f91826ce253b7aeefa9f75b4a39fe4c80ff0","semester":"1262","observed_at":"2025-08-10 05:10:25.938416+00:00","record_version_id":"a392559663d3bbbfd6f20d186e6da17935203693b1a5ef2aa718adde2f16cc5f","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2a05214a4023e0157fa6f7d188c85308f714176c","semester":"1262","observed_at":"2025-09-07 04:56:38.255315+00:00","record_version_id":"76281c49df53cbef17f2589689fe3bc93232eb938f545bbf865266d7909d2139","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2b1b8e39131de92b94620b25c5bbb25690efed4c","semester":"1262","observed_at":"2025-06-01 07:54:53.913454+00:00","record_version_id":"2ead9eaeb3003f0243ec29d82471bb43b05465439cc2e1a271150bc09b465c2e","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-33a1225644e5a5855d60f66e65413946e72fedf4","semester":"1262","observed_at":"2025-06-22 01:52:05.152650+00:00","record_version_id":"57eba97723642a80ca1356094d9503234e8072543a12adb97c9b4e5c9527062b","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-3b89c83dbf5208e13756184de1f2b2d0c09af35f","semester":"1262","observed_at":"2025-06-30 06:40:10.235522+00:00","record_version_id":"0ff35fcbb0317d5e390ac06c65d0760508f6df8b87f9bc8efd5e97f00b7521da","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-3c3eebf7f35c39364b445a2fa5a112ce28dbb4a1","semester":"1262","observed_at":"2025-06-01 17:03:59.062985+00:00","record_version_id":"40a8670802849eb2285e78cde343f9c89edf3945b9e96b113facaef0f04576bd","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-3fa4dd71391f1c9cf4ab2216680bbc428689f92d","semester":"1262","observed_at":"2025-05-25 01:15:58.180530+00:00","record_version_id":"d226799cad5aad627fdb9b51f9a2bbb9c63ec32e8e19c32320a10aee3fc7850e","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-4040aa216da722a34483f68fc1e129ea571ae08d","semester":"1262","observed_at":"2025-06-01 07:27:39.695506+00:00","record_version_id":"a42322c62d0f6e682f83d4a1a174ad3240490b05640a66d2bb4b05912b7b5a2c","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-454d53cd690294459f8ad0793cc3ed562060e56c","semester":"1262","observed_at":"2025-05-25 01:34:00.536004+00:00","record_version_id":"7a39ceb10eabd6399420270778f32314a29cbcea5b5f64ca165e6a609fd90998","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-486f091e051fdb4ccdb80ee7b4fb0a5814510324","semester":"1264","observed_at":"2025-11-16 05:32:31.273726+00:00","record_version_id":"d4c2ed8ad2687231b9c31776df8704cdd05d98f439ff1bbb248336d15b48deb0","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-50393cfc5fd5598d4f4731ef1919f2ff53af07d9","semester":"1262","observed_at":"2025-06-30 06:05:57.438846+00:00","record_version_id":"c7d0a492981335dcdc04a9f8081fcc859f03bda3f51773819d76ec8265ed8a09","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-50f6947786b208c800db8bbd0cec84a8f0f187d2","semester":"1262","observed_at":"2025-06-02 03:49:42.915428+00:00","record_version_id":"288520fc8935cb9d7fceb75da5c26695ebe3e39b409c2253d97286ae5698a501","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-51d86ed4082dced3803c295419b0ec8440942016","semester":"1264","observed_at":"2025-11-12 04:50:41.141307+00:00","record_version_id":"1a0195f38852291ccc4fe123a85051623dfa69b4a58f108ba11f30d57c05e5ba","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-53101bd1c10db0d00d094e4c9154d4c244ff23d9","semester":"1262","observed_at":"2025-10-05 04:58:05.366968+00:00","record_version_id":"8dd7bab48f86f5de8aff58be36709fdc8b8a53082b12b05b3be784ee0df6c0c1","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-58751151c564e11c5cb8aedd3a2d3527c22f73eb","semester":"1262","observed_at":"2025-06-01 06:59:01.536576+00:00","record_version_id":"c50e6806df964a0489e9d29b5379b188b0b5a306b33798b88d6699d5fd06e2e5","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-5c4c8d3701a333ba4ddadef7d0b5dde8440fcdf0","semester":"1262","observed_at":"2025-06-01 01:57:51.256704+00:00","record_version_id":"486e2916c2a3b7b9c9536f603bcb1edbf9fc17edeb2e1497f72d51d6ac67208b","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-5d20d9f81651d3c83fcaa2fd10870ce6e5d5a685","semester":"1262","observed_at":"2025-05-21 16:48:48.484741+00:00","record_version_id":"d126cb7f0220134f18ab5b5259f907fa90f58cb9c3f75384d52c47f49156713f","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-5feaebf2ab37051c86ad360cc0fa0d7e0e2ea295","semester":"1262","observed_at":"2025-05-24 15:58:23.378859+00:00","record_version_id":"1a2145800c3c83ea9081144194a3e217d6a2fd6e100028359a5a4afa26c56e0c","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-60949965544fce098cc006354e201149005fb77b","semester":"1264","observed_at":"2025-10-26 05:07:14.077864+00:00","record_version_id":"890540340ffd9f7ecc719c9bbf989178af1a89cac90d5aff803ab0b6fdd48fab","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-639225ac3addf8522f1d30cb4fe26054ea7f8c49","semester":"1262","observed_at":"2025-06-01 08:14:42.497608+00:00","record_version_id":"870d8184b22cbca7a13f276c9ae8b591bfc1c5c20379a608592c41c89ce7df03","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-64093b17b3a9c67a41aa33eb37adb53ec38df714","semester":"1262","observed_at":"2025-05-22 02:11:02.531191+00:00","record_version_id":"e8fbe0c186f50831f763e1eb8eae2fa49edf1a87b43aa9fc061f89544bb46d3c","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-6885b56099f55e08aa0205546369fb0381d50e13","semester":"1262","observed_at":"2025-07-13 04:59:22.367394+00:00","record_version_id":"cc3fa75309b6e7f6a9371eacd03af3d2c799f221419dbf1c30c7e05ef72f9c94","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-69d4b2b16e8268f75b6390b3a0e2ce8bf73999da","semester":"1262","observed_at":"2025-06-30 03:21:29.925498+00:00","record_version_id":"66695c1c7a850f254be6d6c74bd5c314c56efcd0dd6723b44519986fd157df4c","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-6b29c3e0673b2f9a736d2363db5409e03d5b3ed4","semester":"1264","observed_at":"2025-12-03 12:33:41.418072+00:00","record_version_id":"89c498fd0aebb2f57f9bfe5fef89b829c257406f058d689d352d5c671e7d4444","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-73259984748de484976ef2ad56ad7ab3d4cb4518","semester":"1262","observed_at":"2025-06-26 08:27:56.461216+00:00","record_version_id":"478f4830476bb689a781d25f868f94f184e27887da2fd878f9d65227185a778b","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-741602fbc6252c232a0b9e6bc1a9ae3101625f5a","semester":"1262","observed_at":"2025-06-30 22:49:32.522034+00:00","record_version_id":"0d0fb381c8eeeb6c50ece572f45ffcd385d6742d91326f6671f3ecb6bc49e04d","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7774f45558276ec29bf626e58fffb4a27bdbb2a9","semester":"1264","observed_at":"2025-11-01 11:49:36.359151+00:00","record_version_id":"a06dbf003ac71ae27ce58969964dd61db7bb8881b9d54c3d456f44614f65d50e","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7ab7c5e783fc8ebef8b8ee8cea019ee37a72ce74","semester":"1262","observed_at":"2025-09-28 04:58:07.340658+00:00","record_version_id":"c3031822c6d57cb3129838861abd37541bd9aab2a9f85523dcac499451f43162","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7b2f22d83ea05055ab90dcb77dc802382cccc6f7","semester":"1262","observed_at":"2025-05-21 17:56:46.096741+00:00","record_version_id":"ae232e656a88be73e80041404f226aca24f29f1e081eba9ad70fd543c88cd0a6","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7ca1175502be18eb51f7b016818a884a43fd4ebb","semester":"1262","observed_at":"2025-07-29 06:28:23.644795+00:00","record_version_id":"2456296b30e801966176262720a1fd5bd8b214f7f5b4f17c92fd0f26aeab1180","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7d8cee5e42602ad9ba5dc0322085af2fa0dffaac","semester":"1262","observed_at":"2025-05-22 01:15:19.291664+00:00","record_version_id":"dbff8cef527f8f8ef06968218889465e6efafeccae3312bab6f998a1a6f4334a","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-81a0d6a7f668c98c59bd05fa988aa079c5ad1f68","semester":"1262","observed_at":"2025-05-31 07:49:50.419452+00:00","record_version_id":"50c2cc8c044faf87266c46cc2428d3ae6a804db8de7c7a6ef54dc919210418ca","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-82f31c08c746a214872494cde6ecaeb9330441b4","semester":"1262","observed_at":"2025-06-17 21:26:08.547156+00:00","record_version_id":"fef01a4962c80a195f39d54cdbc0c4b9354a3316d50c85222f37d63fabb713be","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-84c248343c5a99ab42c5616c594812a5e3e31cbb","semester":"1262","observed_at":"2025-07-04 06:00:07.487827+00:00","record_version_id":"d8de73da09717e04011a3ef016dd540194c0b7157180afa21ba22aec12c965c3","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-86334e7275e315853287e8580c35456c68df800b","semester":"1262","observed_at":"2025-05-22 06:53:03.336354+00:00","record_version_id":"601bc45539427fb059e6b0ebe59b0cc85deb3f5918b74f3f6bd7293bc7907873","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-8686dc1664f93a6c05f50321410961b39b12f91b","semester":"1262","observed_at":"2025-05-28 10:17:41.595894+00:00","record_version_id":"3bde41bde0464051dbdf7818090f4ea55d3d49132474cc2ee17a6cc132ec9899","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-86d941366886c9a14a2581c04e20d0bdd25e1b02","semester":"1262","observed_at":"2025-08-31 04:54:14.656039+00:00","record_version_id":"ec42fafcccc5c1ffdafeaf4377ab804db4f88b5649b9fdbaecbb5a25e5f44154","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-8ba1d2e6cfbb1525b4f9f769ec164fb6ad0f237a","semester":"1262","observed_at":"2025-06-02 05:22:45.010398+00:00","record_version_id":"bce63acbb794222505667817f01681eef722c846874b6d38f8a23043a56fafef","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-90e5aa456689a3b222016c05c319bbcd0bddd453","semester":"1262","observed_at":"2025-05-25 02:00:10.037905+00:00","record_version_id":"7dc71ca5cd25d374eec63b6f8318a3954b7d04136a5449c7931dfbb1579ef130","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-92d960aa7e4cd6e4c9ac8b2e232092904038e9e4","semester":"1262","observed_at":"2025-06-08 01:50:46.451351+00:00","record_version_id":"924f371401aa4dc2c5cbc600a0c246db13683029d86fb33139f7bab93db5311a","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-94002ae588a8f71eca6d64105f2e603e8587293b","semester":"1262","observed_at":"2025-05-21 09:01:16.021508+00:00","record_version_id":"f63039fb159add55f980ade8c5e267fc495054eeda194a3a42fc3ceeb6fb0b25","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-9dd575e013c5c6e000ab3ad2d1288cc1dd9c96dc","semester":"1264","observed_at":"2025-12-21 04:47:46.589081+00:00","record_version_id":"c1cc68b38358890a66d2919791d064a8c7102ecbfa69d1f4f93888651167726a","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-a1ea26ed78cbd6e94bc3221e50a6ed9b6bf43871","semester":"1262","observed_at":"2025-05-25 09:16:55.180581+00:00","record_version_id":"040f59ee07a7a03a5cf2975dd6551d57e66ba043224f86660ffed8eb9529c0a0","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-a76a3505853d5ea9c13bb98472b87361d469e2ee","semester":"1262","observed_at":"2025-05-28 18:03:41.793846+00:00","record_version_id":"bd20def92ce89ad3f179c49cc9696717a8cfed1c2a811d345ecc1734d1c2ec48","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b285d591f6acf3aa1910e02edc297664db86eb8c","semester":"1262","observed_at":"2025-06-10 22:48:22.460295+00:00","record_version_id":"1c9bac409212552bb6eb76c667b2b46653c997f56182ecc367bf9bb2da766647","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b79af756e4f00ba98231feb859ed8e98239eb811","semester":"1262","observed_at":"2025-05-22 02:47:56.931581+00:00","record_version_id":"6f6c0a1770ded998f9c85ec1af89672c07eebdc63cfe2e210fcd8fd4015b550e","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b89e05b94730c6471439082d9279c0a834a4aeec","semester":"1262","observed_at":"2025-08-26 20:25:42.325239+00:00","record_version_id":"6990593665ae9bf06f3655c6f9c1795fadc63ac0171ccac7a201a0b8484c1f03","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b9279a12d1f2688df9e556183c94d41a89e431dc","semester":"1262","observed_at":"2025-07-06 01:49:47.203835+00:00","record_version_id":"7eae47d7a8f68876fa215f677636c5c37ebe5dd03dc62dcac319c18a1d4d6d9f","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-bbdc905e96cc681a5e9a8b02c795b682206e36d1","semester":"1262","observed_at":"2025-06-25 08:02:45.445730+00:00","record_version_id":"8e3b14ee3494f5b5bc4ba792183736297c2609f9260cb517ce946585fce4d877","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-bde225b5243a13d81827aa173e39c78a652b54a0","semester":"1262","observed_at":"2025-05-23 07:22:33.219345+00:00","record_version_id":"6e49a86a03f3fd3b03ff1afae5dadc1c1a09a50961f38746e95653475a269096","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-c1fac4cbfde737f4f4ac02cdf15e6f5a9b5b676d","semester":"1262","observed_at":"2025-05-22 01:15:19.291664+00:00","record_version_id":"dbff8cef527f8f8ef06968218889465e6efafeccae3312bab6f998a1a6f4334a","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-c6b62be45f8a13cba109ef2a7741b9cd9a6b8272","semester":"1262","observed_at":"2025-08-24 08:48:09.035112+00:00","record_version_id":"a6a75f268237f1c48aebe42b49383b44bce7b6732d68ce374642d293943ce234","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-cc83f62cb6db61f39320916d819ad48ce55cd96d","semester":"1262","observed_at":"2025-05-22 00:45:35.735230+00:00","record_version_id":"c558e9c3671be2e4587ae6db08fcf587e24781bff2e44745c2fcfc70f5703e97","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d33818a01b6b4c5e2902e704da6e5b713742d4dc","semester":"1262","observed_at":"2025-10-13 10:46:24.251475+00:00","record_version_id":"114eb088380a19a344d544adbd40c4c7b3784a2652ffc6f443eb52f47e4c1f7f","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d3c17db9832d3064916046caf891dd23f10b1bb9","semester":"1262","observed_at":"2025-08-26 11:30:42.288639+00:00","record_version_id":"61f6240838f996b0e311640afaec899d2e2bfa8db8f5c79919a81706044286dc","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d4ee226dc44268e9b6767fb9f5f20343322f494b","semester":"1262","observed_at":"2025-06-15 01:52:23.911697+00:00","record_version_id":"a50388c7816081f390910ea13e4840831c7a732b1c1aee5010d67ee99a197e6f","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d8f9fc7f136e2033556d9d65bbdbdf33425dbdc9","semester":"1262","observed_at":"2025-05-28 16:48:12.400438+00:00","record_version_id":"e69e6def7f57e419eeaad20767701cd404caecd5769c6347e2171a26b6ce9cdc","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-dbbc9739c616c3846b2e796e00a36fa41225f7d8","semester":"1262","observed_at":"2025-06-01 17:47:19.325144+00:00","record_version_id":"1a9968736a758019ad8f0e2fbe6e32fff0a26253392fcaded601ec977cd5215e","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-dbe5f2d24b48c3177297a3d69c553cc9d1194bac","semester":"1262","observed_at":"2025-09-14 05:00:27.366070+00:00","record_version_id":"d1bc6e163c499ba263b0e40af75329938730fcaf616e168c3b71ff673812090e","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-dd357dc2758e9e282c30988a527ce37de92593b9","semester":"1264","observed_at":"2025-10-19 01:39:41.951404+00:00","record_version_id":"f32ba3258016769fc7e9c0859f25cb2b4a0e7167cc155f6212f581fac91f77de","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-de74de559e409a3fe668685e28043b888d2e6841","semester":"1262","observed_at":"2025-06-27 07:38:50.882897+00:00","record_version_id":"2e905922c6bd3dc2f21f73a244d56a833030e9fe6a928cf882b1b1937550b1f0","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-deca7188cf536ade3203cd88b52a45e92a059617","semester":"1262","observed_at":"2025-06-27 00:37:46.087071+00:00","record_version_id":"9966bea66f304345e827a651736dbf898948af7fb868c0b83e3ae6c550159ca2","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-df60fa9ac3931c5612b0fa641b7a6f5fbec86fab","semester":"1262","observed_at":"2025-05-24 06:36:37.554678+00:00","record_version_id":"d3d7632ec07062d94adfbb71f6996125410b7310717c1bf98bebfc79fbed46f6","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-e339da2d849aaf8bb4dceca07a84728af23cf755","semester":"1262","observed_at":"2025-07-23 08:49:22.748925+00:00","record_version_id":"abd4c6b11defb86d1d8b82ded7f5cf70affec64a6fd2599a745866a453c886ed","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-e934b1784835f5d36ae9b7ef0992b11e72c39142","semester":"1262","observed_at":"2025-06-01 06:21:25.219533+00:00","record_version_id":"85c48dedc802c33ced301deec15e5e5bf7252fbe6ac4bb65c9262d471353af73","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-ef471690c082448deebd2687eab84b0b78813c36","semester":"1262","observed_at":"2025-06-29 01:47:56.317645+00:00","record_version_id":"e85c7ca367f2df2c1eec6fbc1e1e89e1cbe97df5b1493af5d33804bdd5592171","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-efc4e8e2cd7c3f68e059a308990c00c77c7611eb","semester":"1264","observed_at":"2025-10-16 05:48:13.935141+00:00","record_version_id":"b7ca6a76c9709c7b3b6ca2f2e976d4df27e9a0815f986babc298682636eae2c9","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-f18b7749725097d41f69c60779ff38cf073b93b3","semester":"1262","observed_at":"2025-05-21 19:52:03.259353+00:00","record_version_id":"89988101f4b4be45a319fdf600f83a7e8e45e9f5cc670d9e4402589fda9becfc","course_id":"ENVIRST 971","course_uid":"course_2ca42a08f05366f351c31860","catalog_version_id":"6bd077d94fb84ffbbbff31d343496cc0ee93d8f7996001301b447e0791d03fc3","course_number":971,"subjects":["ENVIRST"],"title":"ENVIRONMENTAL SENSING TECHNOLOGIES","description":"Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.","requirements_text":"LAND ARC/​ENVIR ST/​F&W ECOL/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing","official_learning_outcomes_json":"[]"}]