Fall 2026

Introduction to Environmental Remote Sensing

Introduction to environmental remote sensing using aerial photography and satellite imagery to study the Earth.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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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).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

(Sophomore standing and MATH 113, 114, or 171), graduate/professional standing, or member of Engineering Guest Students

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      • member of Engineering Guest Students
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ENVIRST/GEOG/GEOSCI/GLE/LANDARC 371 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

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      • member of Engineering Guest Students

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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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

  • Physical processes of electromagnetic radiation
  • Data types and sensing capabilities
  • Interpretation, analysis, and mapping methods

Skills

  • Interpretation, analysis, and mapping of environmental data
  • Use of aerial photography and satellite imagery

Grades

Latest available · Spring 2026— 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 Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Grade history

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "8570c63493ff4eaa0c966a937c8d40847ddb560334cce2a14121ef283e882654",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}