Remote Sensing for International Development

Examines the application of remote sensing and satellite data in international development projects and their impact on global policy.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

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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

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average GPA
letter grades
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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

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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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
  • Satellite data sources and project implementation
  • Integration of local expert knowledge
  • Policy impacts of remote sensing applications

Skills

  • Analyzing the use of satellite data and local knowledge in development projects
  • Evaluating the role of remote sensing in global policy changes

Grades

Latest available · Fall 2024— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
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Grades over time

Through Fall 2024

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Sources & history

UW–Madison

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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
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "0ab4a7601d4f05cd3324b1f4af6cb1dd64f84d9db58a91ffe51f286fa8fce53c",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}