Annemarie was a thoughtful and engaging professor who is clearly a remote sensing expert. Lectures were fast-paced, and it was sometimes difficult to keep up. Exams were challenging but reasonable, and I found the labs to be the best way to learn the material. Would take her class again.Rate My Professors ↗
Current instructor
Annemarie Schneider
What students say
Original student reviews · all captured dates
She is very knowledgeable, but plows through the material so fast it was hard to keep up, and making me question the value of the lecture. A bit condescending, but encourages participation. Labs are definitely challenging and the class is worth 4 credits given all the time one puts into them.Rate My Professors ↗
Annemarie is a gift from above. Incredibly knowledgeable, very flexible and understanding of extenuating circumstances, and a fun professor overall. If you are interested in a career in remote sensing, international development, etc. she is a must to have as a prof.Rate My Professors ↗
Engaging, as modern as it gets in the field. Great opportunities and connections for research. Only real critique is disorganized. Remote sensing isn't easy no matter how you density slice it, but she does a phenomenal job teaching core concepts while giving you hands on experience as well.Rate My Professors ↗
Don't read the textbook, not helpful. The lab papers do take much longer to complete than the allotted lab time. Mine always ended up being 6+ pgs. So don't get caught on Thursday night trying to complete one. And for this class really know the essence of the material. She carves out key concepts for the class. And yes, her wardrobe is phenomenal!Rate My Professors ↗
The organization of lectures was slightly confusing but the professor presented the material clearly. This course covers a wide range of remote sensing applications in a short amount of time. Labs take some work outside of class. Exams were difficult but curved generously and extra credit was available.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with Annemarie Schneider
Directed Study
1–3 creditsDirected Study is independent work in environmental studies overseen by a qualified instructor.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Survey of diverse environmental monitoring technologies, including remote sensing, UAVs, and social media, with hands-on experience in geocomputing, coding, and cloud-based data analytics.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2024: 3.88 GPA, 100.0% A/AB (n=8 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Spring 2026: 3.88 GPA, 100.0% A/AB (n=13 letter grades).
historical GPA · grades
Spring 2023–Spring 2026 · limited sampleResearch
1–12 creditsIndependent research and writing course titled RESEARCH, focused on fulfilling thesis or dissertation requirements.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Introduction to environmental remote sensing covering aerial photography, satellite imagery, electromagnetic radiation, data types, interpretation, analysis, mapping, and applications.
Offering recorded · Spring 2027 · Sources
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).
historical GPA · grades
Spring 2023–Spring 2026Research and Thesis
1–9 creditsResearch and Thesis provides individual mentored study for completing theses, as arranged with a faculty member.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2027 | ENVIRST 699 | Directed Study |
| Spring 2027 | ENVIRST 971 | Environmental Sensing Technologies |
| Spring 2027 | ENVIRST 990 | Research |
| Spring 2027 | ENVIRST/GEOG/GEOSCI/GLE/LANDARC 371 | Introduction to Environmental Remote Sensing |
| Spring 2027 | GEOG 990 | Research and Thesis |
| Fall 2026 | ENVIRST 931 | Remote Sensing for International Development |
| Fall 2026 | ENVIRST 990 | Research |
| Fall 2026 | GEOG 990 | Research and Thesis |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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