# ENVIRST 956: Advanced Environmental Remote Sensing | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ENVIRST_956) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id f98113e1dcb951152f7167c4acd3f19fc0f3586e142d589b6d2e82f68bac58fa ### course id ENVIRST 956 ### course uid course\_cefa5e4934c622d29e565450 ### catalog version id 8f528189b81a3d3ea2eac3c71bdb61a16ab4827f8d43e9dbd34517871e0da267 ### course number 956 ### subjects * ENVIRST ### title ADVANCED ENVIRONMENTAL REMOTE SENSING ### description Focuses on the fundamental physical principles of terrestrial remote sensing, followed by an examination of advanced topics in earth observation and digital image processing. Topics include radiation interaction with the atmosphere and the surface; radiative transfer theory; land surface characteristics including energy balance; thermal sensing; atmospheric and radiometric correction of image data; automated cloud detection and removal. Applications of remote sensing data for environmental problems will be explored in depth, including biophysical remote sensing with 3D modeling of vegetation canopies, dense time series analysis, data mining techniques, data fusion, as well as object vs. per-pixel approaches to pattern recognition. Explores all major data types, including optical, RADAR, LiDAR, and hyperspectral data, and provide instruction in hands-on image processing using open source software. ### requirements text LAND ARC/​ENVIR ST/​G L E/​GEOG/​GEOSCI  371and graduate/professional standing (or FW ECOL 371 prior to Summer 2026) ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 530a4d65a5f8cc4b157185f64cca8c2a120129b061d9d4c5f3fcd7ce68a7bebf ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers physical principles of terrestrial remote sensing and advanced earth observation topics including digital image processing and data fusion. ### llm topics * Radiation interaction and radiative transfer theory. * Thermal sensing, atmospheric/radiometric correction, and cloud detection. * Biophysical remote sensing and 3D vegetation canopy modeling. * Optical, RADAR, LiDAR, and hyperspectral data types. ### llm skills * Hands-on image processing using open source software. * Dense time series analysis, data mining, and data fusion techniques. * Object vs. per-pixel pattern recognition approaches. ### llm assumed background * Introduction to environmental remote sensing, including physical processes of electromagnetic radiation and data interpretation. * Sophomore standing and completion of a calculus course (MATH 113, 114, or 171). ### llm search phrases * terrestrial remote sensing principles * digital image processing earth observation * radiative transfer theory vegetation * LiDAR hyperspectral data fusion * biophysical remote sensing 3D modeling ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 69c98dee89982f5d8b8fc9805d635e377a3ab39afb2a515d2160022ae693a703 #### course id ENVIRST 956 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=15 letter grades). ```json { "citations": [ { "course_id": "ENVIRST 956", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3d32128b-c277-314a-a635-9264cb7d1454", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "ENVIRST 956", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3d32128b-c277-314a-a635-9264cb7d1454", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "ENVIRST 956", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "3d32128b-c277-314a-a635-9264cb7d1454", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "LAND ARC/ENVIR ST/G L E/GEOG/GEOSCI 371and graduate/professional standing (or FW ECOL 371 prior to Summer 2026)", "id": "n0", "kind": "any" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "LAND ARC/ENVIR ST/G L E/GEOG/GEOSCI 371and graduate/professional standing", "id": "n1", "kind": "all" }, { "children": [], "condition": null, "course": { "course_number": 371, "minimum_grade": null, "subjects": [ "ENVIRST", "GEOG", "GEOSCI", "GLE", "LANDARC" ], "timing": "prior" }, "evidence": "LAND ARC/ENVIR ST/G L E/GEOG/GEOSCI 371", "id": "n3", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n4", "kind": "condition" }, { "children": [], "condition": "FW ECOL 371 prior to Summer 2026", "course": null, "evidence": "FW ECOL 371 prior to Summer 2026", "id": "n2", "kind": "condition" } ] ``` #### notes * FW ECOL 371 is an unlinked course reference; identity and logic require review. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_17686c2e52de6703b3b11e13", "source": "madgrades", "source_instructor_id": "5194383", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUN HANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.906, "graded": 16, "counts": [ 13, 3, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/YUN_HANG" }, { "instructor_uid": "instructor_9397895cc3f0282e8ce4ab92", "source": "madgrades", "source_instructor_id": "4391729", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MUTLU OZDOGAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.945, "graded": 491, "counts": [ 453, 27, 7, 3, 1, 0, 0 ], "sections": 99 }, "instructor_url": "/instructors/MUTLU_OZDOGAN--instructor_9397895cc3f0282e8ce4ab92" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 956", "course_uid": "course_cefa5e4934c622d29e565450", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Mutlu Ozdogan", "YUN HANG" ], "a": 13, "ab": 3, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 17, "source_aliases": [ "ENVIRST 956" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 956", "course_uid": "course_cefa5e4934c622d29e565450", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Mutlu Ozdogan" ], "a": 19, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "ENVIRST 956" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 956", "course_uid": "course_cefa5e4934c622d29e565450", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Mutlu Ozdogan" ], "a": 10, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 11, "source_aliases": [ "ENVIRST 956" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 956", "course_uid": "course_cefa5e4934c622d29e565450", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Mutlu Ozdogan" ], "a": 10, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "ENVIRST 956" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 956", "course_uid": "course_cefa5e4934c622d29e565450", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Mutlu Ozdogan" ], "a": 12, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "ENVIRST 956" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENVIRST 956", "course_uid": "course_cefa5e4934c622d29e565450", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Mutlu Ozdogan" ], "a": 15, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "ENVIRST 956" ] } ] ``` ### statistics #### gpa 3.976 #### graded 83 #### counts * 79 * 4 * 0 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_cefa5e4934c622d29e565450-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_cefa5e4934c622d29e565450-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_cefa5e4934c622d29e565450-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_cefa5e4934c622d29e565450-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_cefa5e4934c622d29e565450-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_cefa5e4934c622d29e565450-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9759036144578315 #### count 83 #### university ##### size 3143 ##### gpa Percentile 89 ##### count Percentile 37 ##### median Count 119 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 166 | false | | 3.2–3.6 | 756 | false | | 3.6–4.0 | 2211 | true | #### departments ```json [ { "subject": "ENVIRST", "comparison": { "size": 70, "gpaPercentile": 94, "countPercentile": 26, "medianCount": 184.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": false }, { "range": "3.6–4.0", "count": 46, "current": true } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.90625 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1224 ##### term 1224 ##### gpa 4 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1234 ##### term 1234 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1244 ##### term 1244 ##### gpa 3.9545454545454546 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1254 ##### term 1254 ##### gpa 4 ##### count 12 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | #### 1264 ##### term 1264 ##### gpa 4 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | ENVIRST | | ### benchmarks #### all ##### school ###### size 3143 ###### gpa 3.700510183496391 ###### top Share 84.47071099002075 ###### count 119 ##### ENVIRST ###### size 70 ###### gpa 3.66758172795774 ###### top Share 82.76666859356422 ###### count 184.5 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### ENVIRST ###### size 29 ###### gpa 3.674529525693237 ###### top Share 82.258961157806 ###### count 79 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ENVIRST ###### size 30 ###### gpa 3.5164528238553183 ###### top Share 73.38013651241461 ###### count 83.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ENVIRST ###### size 35 ###### gpa 3.562190005068061 ###### top Share 74.74595421679987 ###### count 75 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ENVIRST ###### size 40 ###### gpa 3.609333958752014 ###### top Share 78.44870523269554 ###### count 71 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6271091837384972 ###### top Share 80.50128090125337 ###### count 73 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ENVIRST ###### size 39 ###### gpa 3.6234319124309753 ###### top Share 80.66171436378418 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_9397895cc3f0282e8ce4ab92", "name": "MUTLU OZDOGAN", "count": 83, "terms": [ { "term": "1204", "count": 16, "sections": 1, "gpa": 3.90625 }, { "term": "1224", "count": 19, "sections": 1, "gpa": 4 }, { "term": "1234", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 11, "sections": 1, "gpa": 3.9545454545454546 }, { "term": "1254", "count": 12, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 15, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_17686c2e52de6703b3b11e13", "name": "YUN HANG", "count": 16, "terms": [ { "term": "1204", "count": 16, "sections": 1, "gpa": 3.90625 } ] } ] ``` ## following None recorded.