Clarkie Catalog

GEOG382

ADVANCED REMOTE SENSING

Also listed under 5 other titles
  • LAB: ADVANCED REMOTE SENSING
  • ADV REMOTE SENSING
  • LAB FOR ADV REMOTE SENS
  • ADV. REMOTE SENSING
  • LAB FOR ADV. REMOTE SENSING
Department
Geography
Terms offered
20
Data refreshed
Sep 1, 2026

Description

Application of remote sensor systems in earth science and other disciplines; interpretation of multispectral scanner, RADAR and thermal imagery, classification, postclassification analysis, special transformations, multitemporal data analysis for change detection, the study of spectral characteristics of vegetation, soils, water, minerals and other materials. The specific objectives of the course are to acquaint the student with the physical principles underlying remote sensing systems and the primary remote-sensing data-collection systems; introduce the student to methods of interpreting and analyzing remotely sensed data; provide some insight concerning the applications of remote sensing in various discipline areas; and provide hands-on experience in digital image processing using software packages available in the computer lab. Open to doctoral and masters students.

Syllabi

Sign in with your @clarku.edu email to view syllabi.

Offering history & forecast 2016–2026

2004
2026
Sections offered by academic year and season, with estimated offering chances for future years above the divider
YearFallSpringSummerIntersession
2030 2030 Fall: 7% chance, medium confidence. Offered in 0 of 9 fall terms since 2018. 2030 Spring: 57% chance, medium confidence. Offered in every spring term since 2018. Department course count falling about 2% per year. 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: 6% chance, medium confidence. Offered in 0 of 10 fall terms since 2017. 2029 Spring: 64% chance, medium confidence. Offered in 9 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: 5% chance, medium confidence. Offered in 0 of 11 fall terms since 2016. 2028 Spring: 68% chance, medium confidence. Offered in 10 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: 5% chance, high confidence. Offered in 0 of 12 fall terms since 2015. 2027 Spring: 67% chance, medium confidence. Offered in 11 of 12 spring terms since 2015. Department course count falling about 2% per year. 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.
2026 Not offered 1 section Not offered No data for this term
2025 Not offered 1 section Not offered Not offered
2024 Not offered 1 section Not offered Not offered
2023 Not offered 1 section Not offered Not offered
2022 Not offered 1 section Not offered Not offered
2021 Not offered 1 section Not offered Not offered
2020 Not offered 1 section Not offered Not offered
2019 Not offered 1 section Not offered No data for this term
2018 Not offered 1 section Not offered No data for this term
2017 Not offered Not offered Not offered Not offered
2016 Not offered 1 section 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
  • Mon, Wed, 12:00 PM–1:15 PM BP310 2026-1
  • Thu, 6:00 PM–7:15 PM JC105 2026-2
  • Tue, Thu, 9:00 AM–10:15 AM JC104 2025-1
  • Thu, 6:00 PM–7:50 PM JC103 2025-2
  • Tue, Thu, 10:25 AM–11:40 AM Jefferson Academic Center JF133 2024-12021-12018-32015-1
  • Fri, 1:00 PM–2:50 PM BP310 2024-2
  • Fri, 12:00 PM–2:00 PM ONL-VLAB 2021-22018-12018-2
  • Tue, 2:50 PM–4:50 PM JC103 2015-2
Credit-bearing sections of GEOG382
TermProfessorTypeCreditsEnrollmentCRN
Spring 2026John RoganLecture1 17 of 20 enrolled32736
Spring 2025John RoganLecture1 25 of 20 enrolled32736
Spring 2024John RoganLecture1 22 of 12 enrolled32736
Spring 2023John RoganLecture1 14 of 12 enrolled32736
Spring 2022John RoganLecture1 12 of 20 enrolled30709
Spring 2021John RoganLecture1 17 of 11 enrolled36395
Spring 2020John RoganLecture1 27 of 32 enrolled36395
Spring 2019John RoganLecture1 25 of 32 enrolled36395
Spring 2018John RoganLecture1 33 of 32 enrolled36395
Spring 2016John RoganLecture1 17 of 40 enrolled34187
Spring 2015John RoganLecture1 34 of 30 enrolled34187
Spring 2013John RoganLecture1 16 of 30 enrolled30498
Spring 2012John RoganLecture1 8 of 30 enrolled30498
Spring 2011John RoganLecture1 33 of 30 enrolled38840
Fall 2009John RoganLecture1 9 of 30 enrolled24747
Fall 2008John RoganLecture1 4 of 30 enrolled24747
Fall 2007John RoganLecture1 7 of 20 enrolled24747
Spring 2006John RoganLecture1 4 of 30 enrolled34073
Spring 2005John RoganLecture1 12 of 35 enrolled31550
Spring 2004John RoganLecture1 12 of 30 enrolled31550

No-credit sessions

No-credit sections of GEOG382
TermProfessorTypeCreditsEnrollmentCRN
Spring 2016John RoganLab- 14 of 20 enrolled34631
Spring 2016John RoganLab- 3 of 20 enrolled34632
Spring 2015John RoganLab- 24 of 20 enrolled34631
Spring 2015John RoganLab- 10 of 20 enrolled34632
Spring 2013John RoganLab- 16 of 30 enrolled30499
Spring 2012John RoganLab- 8 of 30 enrolled30499
Spring 2011John RoganLab- 33 of 30 enrolled38841
Spring 2006John RoganLab- 4 of 30 enrolled34078
Spring 2005John RoganLab- 12 of 35 enrolled31869
Spring 2004John RoganLab- 12 of 30 enrolled31869