Transcript No Slide Title

Remote Sensing
GEO483/553, Fall 2013
Tu Th 2:00-3:20pm, 322 Fillmore
Instructor
Ling Bian, 120 Wilkeson
Office Hours
Tu Th 4-5pm or by appts
TA: Shiran Zhong
Labs
Lab A: Thur 6:30-7:50pm Wilkeson 14
Lab B: Tue 3:30-4:50am Wilkeson 145
No lab in the first week
No lab in the first week
No lab in the first week
Access to
Wilkeson
GIAL
computer account
printing account
See Joe if there are still problems
Purpose
This course is designed to introduce principles and applications of
remote sensing, and basic techniques of digital image processing.
Remote sensing technology is essential for modern spatial analysis in
order to identify features and phenomena at the surface of the
Earth. Remote sensing has been used for research and applications
in a wide range of disciplines such as geography, archaeology,
engineering, geology, urban studies, forestry, agriculture, and
homeland security. The course should benefit students who are
interested in pursuing a career in any of these disciplines.
This course has a lecture component and a lab component. Both
components are presented at an introductory level. The lecture will
cover basic principles and applications of remote sensing. These
include the basic laws of energy, the interaction between the energy
and Earth surface, remotely sensed data and the major sensor
systems, basic techniques for image enhancement and image
classification, classification accuracy assessment, and applications of
remote sensing.
Labs
A series of laboratory exercises will help students understand the
lecture materials and gain hands-on experience in digital image
processing. ENVI will be used as the primary software. Digital
images of various spatial, spectral, and geographic characteristics
will be used for the lab exercises. These images include Thematic
Mapper (TM), Multispectral Scanner (MSS), SPOT, MODIS, IKNOS,
and digital aerial photographs. The labs are designed to familiarize
students with the following techniques: basic understanding of ENVI,
remotely sensed imageries and satellite systems, data access
through web sites, image rectification, image enhancement, image
classification, and accuracy assessment.
Recommended Journals
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Photogrammetric Engineering and Remote Sensing
Remote Sensing of Environment
International Journal of Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing
GeoCarto International
ASPRS/ACSM Annual Meeting and Convention
Prerequisite
The course is open to graduate students or senior
undergraduate students. Basic algebra is required to help
understand the principles of remote sensing. Basic
statistics are preferred.
Text
Lillesand T.M. and R.W. Kiefer, 2008, 6th ed. Remote
Sensing and Image Interpretation. John Wiley & Sons,
Inc., New York.
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Additional Readings
Jensen, J.R., 2005. 3rd ed. Introductory Digital Image
Processing, A Remote Sensing Perspective. Prentice Hall,
New Jersey.
Campbell, J.B., 2007. 4th ed. Introduction to Remote
Sensing. The Guilford Press, New York.
Grading System
Mid-term exam
Final exam
Lab exercises
Summery
Total
Undergraduate
30%
30%
40%
100%
Graduate
30%
30%
30%
10%
100%
You will earn two identical grades for the lecture and the lab
The exams will be mostly based on lectures
Summery
Graduate students are expected to
review seven remote sensing articles,
give a PPT presentation summarizing them, and
submit a written copy of the summery.
Grad cut-off
A
AB+
B
BC+
C
CD+
D
F
93.33-100.0
90.00-93.32
86.67-89.99
83.33-86.66
80.00-83.32
76.67-79.99
73.33-76.66
70.00-73.32
66.67-69.99
60.00-66.66
<60
Tentative Schedule
I. Principles of remote sensing
8/27
8/29
9/ 3
9/ 5
9/10
9/12
9/17
9/19
Introduction
Energy sources, radiation principles
Energy interactions with earth systems
Aerial photo interpretation (1st bibliography due)
Satellite remote sensing
Lansat systems
Spot and other moderate resolution systems
Image rectification
Tentative Schedule (2)
II. Image Processing
9/24
9/26
10/ 1
10/ 3
10/ 8
10/10
10/15
High resolution and Met satellite system
Image enhancement
Image enhancement
Supervised classification
Un-supervised classification
Image classification systems
Accuracy assessment
10/17 Mid Term Exam
Tentative Schedule (3)
III. Other Sensor Systems
10/22 Aerialphoto geometry
10/24 Thermal remote sensing
10/29 Microwave remote sensing
10/31 Microwave remote sensing
11/ 5 Guest speaker
11/ 7 Advanced topics
11/12 Advanced topics
11/14-12/3 Remote sensing applications
12/ 5 Conclusions (graduate students summary due)
Final Exam: Dec 10 (Tue) 3:30-6:30pm 355 Fillmore
Plagiarism
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What is plagiarism and how to avoid it:
http://ublib.buffalo.edu/libraries/asl/guides/plagiarism.html
http://www.guardian.co.uk/world/2011/mar/01/germandefence-minister-resigns-plagiarism
Expectations
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Job oriented
Research oriented