Recent recorded grades — Spring 2024: 3.04 GPA, 33.3% A/AB (n=27 letter grades); Spring 2025: 3.10 GPA, 43.3% A/AB (n=30 letter grades); Spring 2026: 3.02 GPA, 51.9% A/AB (n=27 letter grades).
Spring 2027
Introduction to Environmental Remote Sensing
Introduction to environmental remote sensing covering aerial photography, satellite imagery, electromagnetic radiation, data types, interpretation, analysis, mapping, and applications.
offering recorded3 credits
Recorded instructors · Spring 2027 Annemarie Schneider3.7/5
Summary
1 / 3
Recent recorded grades — Spring 2024: 3.04 GPA, 33.3% A/AB (n=27 letter grades); Spring 2025: 3.10 GPA, 43.3% A/AB (n=30 letter grades); Spring 2026: 3.02 GPA, 51.9% A/AB (n=27 letter grades).
What you’ll be able to do
Demonstrate understanding of major theories, approaches, concepts, and methods in remote sensing science.
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.
Utilize the techniques, skills, and modern tools necessary for monitoring environmental phenomena with earth observation data.
Know and effectively apply image analysis, data extraction, and map-making using earth observation data.
Demonstrate how to analyze remote sensing data using photo-interpretation, digital image processing, and photogrammetric techniques using specialized software, within geographic information systems (GIS), and in conjunction with other data sources.
Demonstrate how to perform classification, change detection, data fusion, and radiometric and geometric correction techniques.
Identify and appropriately utilize data types from the optical, thermal, and microwave portions of the electromagnetic spectrum, and from a wide range of airborne and satellite platforms, including high (>5 m), medium (10-30 m), and coarse (250-1000 m) spatial resolution imagery.
Demonstrate knowledge about environmental applications of remote sensing data, such as forest inventory, water resource management, agricultural assessment, land use planning, and global change science.
Write clear and concise laboratory reports (in scientific format) describing analytical results from image classification and change detection experiments.
Communicate effectively through discussion, small group work, hands-on lab activities, and written reports.
Source: UW Guide 1· UW Guide 2· UW Guide 3· UW Guide 4· UW Guide 5
Grade history
↗ average GPA
293293 letter grades
A36.2%36.2%
AB9.6%9.6%
B31.7%31.7%
BC3.4%3.4%
C13.7%13.7%
D2.7%2.7%
F2.7%2.7%
All recorded terms · compare terms & instructors
Prerequisites
Course map(Sophomore standing and MATH 113, 114, or 171), graduate/professional standing, or member of Engineering Guest Students
- Sophomore standing
- take one
- graduate/professional standing
- member of Engineering Guest Students
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Sophomore standing
- Any of
- graduate/professional standing
- member of Engineering Guest Students
- All of
Professors
Spring 2027Historical instructors & teaching patterns
ANNEMARIE SCHNEIDER is recorded teaching in Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
| LAB 301 | Classroom Instruction | 0 / 25 | 0 |
| LAB 302 | Classroom Instruction | 0 / 25 | 0 |
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
| LAB 301 | Classroom Instruction | 0 / 25 | 0 |
| LAB 302 | Classroom Instruction | 0 / 25 | 0 |
| LEC 001 | Classroom Instruction | 0 / 38 | 0 |
| LAB 301 | Classroom Instruction | 0 / 20 | 0 |
| LAB 302 | Classroom Instruction | 0 / 20 | 0 |
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
| LAB 301 | Classroom Instruction | 0 / 25 | 0 |
| LAB 302 | Classroom Instruction | 0 / 25 | 0 |
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
| LAB 301 | Classroom Instruction | 0 / 25 | 0 |
| LAB 302 | Classroom Instruction | 0 / 25 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Spring 2024: 3.04 GPA, 33.3% A/AB (n=27 letter grades); Spring 2025: 3.10 GPA, 43.3% A/AB (n=30 letter grades); Spring 2026: 3.02 GPA, 51.9% A/AB (n=27 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Aerial photography and satellite imagery
- Electromagnetic radiation and sensing capabilities
- Interpretation, analysis, mapping, and applications
Skills
- Analyze remote sensing data using photo-interpretation, digital image processing, and GIS.
- Perform classification, change detection, data fusion, and radiometric/geometric corrections.
- Write scientific laboratory reports describing analytical results.
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
average GPA
A / AB grades
letter grades
Instructor
Grade distribution · % of letter grades
A40.7%40.7%
AB11.1%11.1%
B18.5%18.5%
BC7.4%7.4%
C11.1%11.1%
D3.7%3.7%
F7.4%7.4%
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
UW–Madison
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Introduction to Environmental Remote Sensing
Recorded 2026-10-14Introduction to Environmental Remote Sensing
Recorded 2026-10-14Introduction to Environmental Remote Sensing
Recorded 2026-10-14Introduction to Environmental Remote Sensing
Recorded 2026-10-14Introduction to Environmental Remote Sensing
Recorded 2026-10-14Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesDataset & model
View the dataset on Hugging Face Recorded 2026-10-14
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "0695be5cabea5e1930d4407d8b2fe15560d4e6d4052e7f78925d4b70f882e099",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}