Remote SensingRemote Sensing

GEO483/553, Fall 2010GEO483/553, Fall 2010

Tu Th 12:30-1:50pm, 352 Tu Th 12:30-1:50pm, 352 FillmoreFillmore

InstructorInstructor

Ling Bian, 120 WilkesonLing Bian, 120 Wilkeson

Office HoursOffice Hours

Tu Th 2-3pm or by apptsTu Th 2-3pm or by appts

TA: Steve TulowieckiTA: Steve Tulowiecki

LabsLabs

Tu 6:30-7:50pm Wilkeson 145Tu 6:30-7:50pm Wilkeson 145

Th 5:00-6:20am Wilkeson 145Th 5:00-6:20am Wilkeson 145

No lab in the first weekNo lab in the first week

No lab in the first weekNo lab in the first week

No lab in the first weekNo lab in the first week

Access toAccess toWilkesonWilkesonGIALGIALcomputer account computer account printing account printing account

See Joe if there are still problemsSee 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.

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.

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.

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%.

 

A Sample ReferenceA Sample ReferenceCowen, D.J., 1988. GIS versus CAD versus DBMS: What are the differences? Photogrammetric Engineering and Remote Sensing, 54(11): 1551-1555.

Recommended JournalsRecommended 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

PrerequisitePrerequisite

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.

► Additional ReadingsJensen, 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 SystemGrading 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

Grad cut-offGrad cut-off

A 93.33-100.0 A- 90.00-93.32   B+ 86.67-89.99B 83.33-86.66B- 80.00-83.32C+ 76.67-79.99C 73.33-76.66C- 70.00-73.32D+ 66.67-69.99D 60.00-66.66F <60

Tentative ScheduleTentative 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   

Tentative Schedule (2)Tentative Schedule (2)

II.  Image Processing   9/27   High resolution and Met

satellite system10/ 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  

Tentative Schedule (3)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 topics11/17 Advanced topics

   11/22,29, 12/1,6 Presentations (last bibli due)12/  8  Conclusions (graduate students summary due)

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

PlagiarismPlagiarism

► What is plagiarism and how to avoid it: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

ExpectationsExpectations

► Job orientedJob oriented► Research orientedResearch oriented