Remote Sensing

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• Remote Sensing
• GEO483/553, Fall 2010
• Tu Th 1230-150pm, 352 Fillmore

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• Instructor
• Ling Bian, 120 Wilkeson
• Office Hours
• Tu Th 2-3pm or by appts

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• TA Steve Tulowiecki
• Labs
• Tu 630-750pm Wilkeson 145
• Th 500-620am Wilkeson 145
• No lab in the first week
• No lab in the first week
• No lab in the first week

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• Access to
• Wilkeson
• GIAL
• computer account
• printing account
• See Joe if there are still problems

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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.

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• 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.

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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.

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Annotated Bibliography

• Each graduate student is expected to review 10
  remote sensing application articles and to
  develop an annotated bibliography for each
  article. The 10 articles should be from refereed
  journals. At the end of the semester, each
  graduate student is expected to present a summary
  of the bibliography to the class, and submit a
  written summary.

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Annotated Bibliography ..

• The 10 articles should cover one topic of
  student's interest. The bibliography should
  briefly describe (1) the reference of the
  article, (2) the purpose of the study, (3) the
  data used for the study, and (4) the image
  process methods used for the study. The weekly
  bibliography is due on Thursdays.

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Annotated Bibliography ..

• The weekly bibliography should be typed in less
  than one double-spaced page. Each bibliography
  will be given a maximum of 10 points. The
  bibliographies account for 10 of the total grade
  for graduate students. The written summary counts
  another 10.
•  

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A Sample Reference

• Cowen, D.J., 1988. GIS versus CAD versus DBMS
  What are the differences? Photogrammetric
  Engineering and Remote Sensing, 54(11)
  1551-1555.

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Recommended Journals

• 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

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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.

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Text

• 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.

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Grading System

•                               
  Undergraduate     Graduate
• Mid-term exam 30          25
• Final exam           30          25
• Lab exercises 40 30
• Bibliography 10
• Summery 10
• Total 100 100
• You will earn two identical grades for the
  lecture and the lab
• The exams will be mostly based on lectures

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Grad cut-off

• A 93.33-100.0
• A- 90.00-93.32  
• B 86.67-89.99
• B 83.33-86.66
• B- 80.00-83.32
• C 76.67-79.99
• C 73.33-76.66
• C- 70.00-73.32
• D 66.67-69.99
• D 60.00-66.66
• F lt60

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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   Aerial photo interpretation (1st
  bibliography due)
•     9/13   Satellite remote sensing
•    9/15   Lansat systems
•   9/20   Spot and other moderate resolution
  systems
•   9/22   Image rectification
•    

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Tentative Schedule (2)

• II.  Image Processing
•    9/27   High resolution and Met satellite
  system
• 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  

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Tentative Schedule (3)

• III. Other Sensor Systems
•     10/27  Aerialphoto geometry
•     11/  1  Thermal remote sensing
•     11/ 3  Microwave remote sensing
•     11/ 8  Microwave remote sensing
•     11/10  Guest speaker 
• 11/15 Advanced topics
• 11/17 Advanced topics
•    11/22,29, 12/1,6 Presentations (last bibli
  due)
• 12/  8  Conclusions (graduate students summary
  due)
• Final Exam Dec 15 Thur, 1145am-245pm, 352
  Fillmore

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Plagiarism

• What is plagiarism and how to avoid
  ithttp//ublib.buffalo.edu/libraries/asl/guides/
  plagiarism.htmlhttp//www.guardian.co.uk/world/20
  11/mar/01/german-defence-minister-resigns-plagiari
  sm

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Expectations

• Job oriented
• Research oriented