Syllabus
Geog 577 Advanced Remote
Sensing and Image Processing
Spring 2008
Instructor: Dr. Conghe Song
Course Description: This is an advanced course in
remote sensing. The instructor assumes that you have taken Geog 477 or with
equivalent knowledge. The goal of this course is to help students obtain
independent research skills using space borne optical remote sensing imagery.
The underlying theme of the course is to extract vegetation information from
remotely sensed data in space. We will integrate satellite observations with
ground observations using Global Positioning Systems, and develop models to
extract vegetation information. Topics of the course include key preprocessing
steps of digital images for data analysis, spectral mixture analysis,
classification and change detection and extraction of leaf area index (LAI)
using image spectral and spatial information, measurements of LAI in the field.
Students will gain knowledge in these topics through reading critical papers in
the discipline and hand-on research oriented labs. The format the course will
include instructor lectures, guest lectures, paper reading and discussions,
hands-on laboratory exercises and semester long mini-project. Each student will
working on a project at his choice using remotely sensed images. The student
need to discuss the project with the instructor first and submit a final
project proposal before the spring break. Each student will present their
research results on the last day of class. There will be no final exam for the
class.
Lectures: TR 09:30-10:45AM
Location: Saunders 322
Office Hours: 11:00am-12:00pm TR @ 310 Saunders
Hall
Grading Policy:
Labs:
40%
Paper
Discussion: 20%
Final
Project: 20%
Quiz: 15%
Participation:
5%
Text Book (Recommended, NOT required):
Liang, S. 2004. Quantitative Remote Sensing of Land
Surfaces. John Wiley & Sons,
Other Reference Books:
Lillesand, T. M. and R. W. Keifer, 2000. Remote Sensing and
Image Interpretation.
Jensen, J. R. 2000. Remote Sensing of the Environment: An
Earth Resource Perspective.
Schowengerdt, R. A. 1997.Remote Sensing: Models and Methods
for Image Processing. Academic Press,
Major Journals in Remote Sensing:
Remote
Sensing of Environment (RSE)
International
Journal of Remote Sensing (IJRS)
IEEE
Transactions on Geoscience and Remote Sensing (TGRS)
Photogrammetric Engineering and Remote Sensing (PERS)
Part
I: Preprocessing
Week 1: Jan 7-13
Tuesday (Jan 8): no class
Thursday (Jan 10): Guest Lecture: Dr. Aaron Moody on Sources of Error in Remotely Sensed Images
Week 2: Jan 14-20
Tuesday (Jan 15): Guest Lecture: Dr. Stephen Walsh on Spectral Mixture Analysis
Thursday (Jan 17): Guest Lecture: Dr. Lihong Su on BRDF
Week 3: Jan 21-27
Tuesday (Jan 22): Instructor Lecture: The essence of radiometric correction
Thursday (Jan 24):
Paper discussion: Chavez, 1996; Teillet et al., 2004
Week 4: Jan 28-Feb 3
Tuesday (Jan 29): Instructor Lecture: Landsat Sensor Degradations
Thursday (Jan 31): Paper Discussion: Hall et al., 1991; Song et al., 2001
Lab 1: Correcting Atmospheric Effects on Remotely Sensed Images
Week 5: Feb 4-10
Tuesday (Feb 5): Instructor Lecture: Geometric Correction
Thursday (Feb 7):
Paper Discussion: Townshend et al., 1992; Dai et al., 1998.
Lab 2: Geometric Correction
Part II: Spectral
Information of Remotely Sensed Images
Week 6: Feb 11-17
Tuesday (Feb 12): Instructor Lecture: Image Transformation
Quiz I: Preprocessing
Thursday (Feb 14):
Paper Discussion: Collins et al., 1996; Byrne et al., 1980.
Lab 3: Image Transformation
Week 7: Feb 18-24
Tuesday (Feb 19): Instructor Lecture: Change Detection
Thursday (Feb 21):
Paper Discussion: Lu et al. 2004; Seto et al. 2002.
Lab 4: Change Detection
Week 8: Feb 25-Mar 2
Tuesday (Feb 26): Instructor Lecture: Classification
Thursday (Feb 28): Paper Discussion: Bauer et al, 1994; Friedl et al., 2002
Week 9: Mar 3-9
Tuesday (March 5): Instructor Lecture: Spectral Mixture Analysis
Thursday (March 7):
Paper Discussion: Ridd, 1995; Small, 2001
Lab 5: Spectral Mixture Analysis
Final Project
Proposal Due
Week 10: Mar 10-16
Spring Break!
Week 11: Mar 17-23
Tuesday (March 18): Instructor Lecture: Remote Sensing of LAI
Quiz II: Spectral
Information (Study Guide)
Thursday (March 20):
Paper Discussion: Chen and Cihlar, 1995; Stenberg, 1994
Lab 6: Extracting LAI from Remotely Sensed Imagery
Week 12: Mar 24-30
Fieldwork: Measuring LAI in the field (Track Device Manual)
Part III: Spatial
Information of Remotely Sensed Images
Week 13: Mar 31-Apr 6
Tuesday (April 1): Instructor Lecture: Spatial Analysis
Thursday (April 3):
Paper Discussion: Woodcock et al., 1987; Woodcock et al., 1988
Lab 6: Extracting Tree Crown Size
Week 14: Apr 7-13
Tuesday (April 8): Instructor Lecture: Use of Remote Sensing in Global Change Studies
Quiz III: Spatial
Information(Study Guide)
Thursday (April 10): Paper Discussions: Porter et al., 1993; Mu et al., 2007
Week 15: Apr 14-20
AAG week. Finishing up final Project
Instructor away to AAG meeting.
Week 16: Apr 21-27
Tuesday (April 22): Introduction to IPW, an alternative free image processing tool.
Thursday: Final Project Presentations