Recent recorded grades — Spring 2024: 2.85 GPA, 46.2% A/AB (n=13 letter grades); Spring 2025: 3.50 GPA, 68.8% A/AB (n=16 letter grades); Spring 2026: 3.09 GPA, 23.5% A/AB (n=17 letter grades).
Forest Measurements
Covers field measurements of trees and forests, basic statistics and sampling for forestry, and uses aerial photographs, GIS, and satellite imagery.
Summary
Recent recorded grades — Spring 2024: 2.85 GPA, 46.2% A/AB (n=13 letter grades); Spring 2025: 3.50 GPA, 68.8% A/AB (n=16 letter grades); Spring 2026: 3.09 GPA, 23.5% A/AB (n=17 letter grades).
What you’ll be able to do
Demonstrate basic competency in the use of forest measurement equipment and technology
Calculate individual tree and stand parameters
Estimate timber volume
Apply basic statistics in forestry
Produce a simple forest inventory using a variety of sampling techniques
Communicate the results of data collected in written form
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapNone
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- None
Professors
Spring 2027Historical instructors & teaching patterns
VOLKER RADELOFF is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, 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 |
|---|---|---|---|
| LAB 301 | Classroom Instruction | 0 / 30 | 0 |
| LEC 001 | Classroom Instruction | 0 / 30 | 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: 2.85 GPA, 46.2% A/AB (n=13 letter grades); Spring 2025: 3.50 GPA, 68.8% A/AB (n=16 letter grades); Spring 2026: 3.09 GPA, 23.5% A/AB (n=17 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Field measurements of trees and forests
- Statistics and sampling in forestry
- Aerial photographs, GIS, and satellite imagery
- Timber volume estimation
Skills
- Use forest measurement equipment and technology
- Calculate tree and stand parameters
- Estimate timber volume
- Apply basic statistics to forestry data
- Conduct forest inventories using sampling techniques
- Write reports on collected field data
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
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
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
Forest Measurements
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:396:007645",
"course_id": "F&WECOL 300",
"course_uid": "course_bc3ed68f7a6074f9ecbe9543",
"term_id": "1274",
"source_course_id": "007645",
"source_subject_id": "396",
"title": "Forest Measurements",
"credits_min": 4,
"credits_max": 4,
"typically_offered": "Spring"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
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": "fba7d82f47bbf9a27a7bab3ea3fb1b0a5c0b00f5ac6f9d65d0173e1f2402d7e6",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}