#Course Description
 #Tentative Schedule
 #Recommended Journals/Proceedings

Purpose
This course is designed to introduce the principles and applications of remote sensing, and the 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 engineering, geology, geography, urban studies, forestry, agriculture, and archaeology. 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 the 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, IKONOS, 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.

Annotated Bibliography:
Each graduate student is expected to review 10 remote sensing application articles and to develop an annotated bibliography for each article. At the end of the semester, each graduate student is expected to give a PPT presentation summarizing the 10 articles, and to submit a written summery.

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 Book
Lillesand T.M. and R.W. Kiefer, 2008, 6th ed. Remote Sensing and Image Interpretation. John Wiley & Sons, Inc., New York.

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

	Undergraduate	Graduate
Midterm	30%	25%
Final	30%	25%
Labs	40%	30%
Bibliographies		10%
Summary		10%
Total	100%	100%

Note: Students will earn two identical grades for the lecture and the lab.

Tentative Schedule

I. Principles of remote sensing
        8/30         Introduction
        9/  1         Energy sources, radiation principles
        9/  6         Energy interactions with earth systems
        9/  8         Aerialphto interpretation (First bibliography due)
        9/13         Satellite remote sensing
        9/15         Landsat systems
        9/20         SPOT and other moderate resolution systems
        9/22         High resolution and Met satellite systems 

II.  Image Processing
        9/ 27        Image rectification 
       10/  4        Image enhancement
       10/  6        Image enhancement          
       10/11        Supervised classification
       10/13        Un-supervised classification
       10/18        Image classification systems
       10/20        Mid Term Exam
       10/25        Accuracy assessment  

III. Other Sensor Systems
       10/27        Aerialphoto geometry
       11/  1        Aerialphoto geometry
       11/  3        Guest speak: John Whitney, USDA
       11/  8        Thermal remote sensing
       11/15        Microwave remote sensing
       11/17        Microwave remote sensing (Last bibliography due)
       11/22,29 12/1,6 Presentations     
       12/  8        Conclusions

        Final Exam:   Dec 15 Thur, 11:45am-2:45pm, 352 Fillmore

USDA NRCS data gateway
http://datagateway.nrcs.usda.gov/

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/german-defence-minister-resigns-plagiarism

Recommended Journals/Proceedings

• ASPRS/ACSM Annual Meeting and Convention
• GeoCarto International
• International Journal of Remote Sensing
• ISPRS Journal of Photogrammetry and Remote Sensing
• Photogrammetric Engineering and Remote Sensing
• Remote Sensing of Environment

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