GEOG322

APPL OF RADAR REMOTE SENSING

Department
Geography
Terms offered
2
Data refreshed
Sep 1, 2026

Description

This seminar focuses on the applications of satellite-based radar remote sensing to Earth Science related fields. Radar remote sensing offers fundamentally different potential applications compared to optical remote sensing owing to its sensitivity to wetness and surface roughness as well as its independence from sunlight and cloud conditions. As such, radar remote sensing is particularly well-suited for applications to a variety of Earth surface features, including those related to snow, sea ice, glaciers, ice sheets, and river/lake ice. This seminar introduces students to both seminal and recent, cutting-edge research in the field of radar remote sensing. Students will additionally focus on independent research projects that will allow them to analyze and apply radar data within a variety of fields. Specifically, students will utilize radar scatterometer data, which will enable students to hone their skills in image time series analysis. Open to graduate students, but undergraduates with sufficient experience in remote sensing/spatial analysis may request permission to enroll.

Syllabi

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Offering history & forecast 2013–2023

2012
2023
Sections offered by academic year and season, with estimated offering chances for future years above the divider
YearFallSpringSummerIntersession
2030 2030 Fall: 17% chance, low confidence. Offered in 1 of 4 fall terms since 2023. 2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018. 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029 2029 Fall: 17% chance, low confidence. Offered in 1 of 4 fall terms since 2023. 2029 Spring: 6% chance, medium confidence. Offered in 0 of 10 spring terms since 2017. 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028 2028 Fall: 17% chance, low confidence. Offered in 1 of 4 fall terms since 2023. 2028 Spring: 5% chance, medium confidence. Offered in 0 of 11 spring terms since 2016. 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027 2027 Fall: 17% chance, low confidence. Offered in 1 of 4 fall terms since 2023. 2027 Spring: 5% chance, high confidence. Offered in 0 of 12 spring terms since 2015. 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2023 1 section Not offered Not offered Not offered
2022 Not offered Not offered Not offered Not offered
2021 Not offered Not offered Not offered Not offered
2020 Not offered Not offered Not offered Not offered
2019 Not offered Not offered Not offered No data for this term
2018 Not offered Not offered Not offered No data for this term
2017 Not offered Not offered Not offered Not offered
2016 Not offered Not offered Not offered No data for this term
2015 Not offered Not offered Not offered No data for this term
2014 Not offered Not offered Not offered No data for this term
2013 Not offered Not offered Not offered No data for this term
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term

Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.

Meeting times

Most recent first
  • Tue, 2:50 PM–5:50 PM BP220 2012
Credit-bearing sections of GEOG322
TermProfessorTypeCreditsEnrollmentCRN
Fall 2023Karen E. FreyLecture1 7 of 12 enrolled22490
Spring 2012Karen E. FreyLecture1 11 of 10 enrolled31828