Remote Sensing for International Development

Explores remote sensing applications in international development, focusing on project completion, data sources, and policy change.

offering recorded3 credits
Recorded instructors · Fall 2026 Annemarie Schneider3.7/5

Summary

1 / 2

Recent recorded grades — Fall 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Fall 2024: 3.90 GPA, 90.0% A/AB (n=10 letter grades).

Grade history

average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

LAND ARC/​ENVIR ST/​G L E/​GEOG/​GEOSCI 371 and graduate/professional standing (or FW ECOL 371 prior to Summer 2026)

ENVIRST 931

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 from 7 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Fall 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Fall 2024: 3.90 GPA, 90.0% A/AB (n=10 letter grades).

Historical instructors & teaching patterns

ANNEMARIE SCHNEIDER is recorded teaching in Fall 2018, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction3 / 240

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 — Fall 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Fall 2024: 3.90 GPA, 90.0% A/AB (n=10 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Remote sensing in international development
  • Challenges and policy impacts of remote sensing

Skills

  • Analyzing remote sensing project implementation and local knowledge integration
  • Evaluating challenges and policy impacts of remote sensing applications

Grades

Latest available · Fall 2024— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2024

More grade details Grade mix, volume & source data

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
ENVIRST 931 · Fall 2026

Remote Sensing for International Development

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:360:025032",
    "course_id": "ENVIRST 931",
    "course_uid": "course_d3fd75102ec4764bd61bc5f3",
    "term_id": "1272",
    "source_course_id": "025032",
    "source_subject_id": "360",
    "title": "Remote Sensing for International Development",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "7d7211a874bf69e1714cbf7581105817047d816a5072cac862d0e936f0ac6f86",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}