Remote Sensing (GEOG-410)

It describes knowledge about knowledge about Remote Sensing (RS) and its practical implementation. To produce students, that has applicable knowledge about basic tools of GIS.

The course aims to equip students with an understanding of GIS, evolution and applications of spatial data through Geo-spatial technologies. It introduces knowledge of recording earth's surface features from space-borne platforms and different ways in which images can be analyzed. It will enable students to develop an understanding of common remote sensing products such as, earth resources satellite images, aerial photographs etc to develop a comprehension regarding ground-truthing aided by GPS.

Contents

  1. Introduction
  2. History and Development
  3. Concepts and Foundation of Remote Sensing o Electromagnetic spectrum
  4. Visible Spectrum
  5. Colour Theory
  6. Atmospheric Attenuation
  7. Types of Remote Sensing Systems
  8. Active Remote Sensing
  9. Passive Remote Sensing
  10. Type of Sensors
  11. RBV, MSS, TM,HRV, HRPT/APT/AVHRR, MODIS (Terra and Aqua) non-imaging systems (RADAR)
  12. Types of Satellites
  13. Manned Satellites (Gemini, Mercury, Apollo, Space Shuttles)
  14. Unmanned Satellites (Metrological, Earth Resources,
  15. Telecommunication, Spy, Scientific etc.)
  16. Platforms (Orbits)
  17. Ground Receiving Stations (Reception of Data) o Image Processing
  18. Image Classification
  19. Image Interpretation
  20. Image Interpretation Methods
  21. Image Interpretation Elements
  22. Image Interpretation Tasks
  23. Image Measurements
  24. Global Positioning System (GPS)
  25. Applications (Hydrology, Geology, Climatology, Environmental Application, Planning, Agricultural, Forestry, Socio-economic, Health etc.)
  26. Remote Sensing in Pakistan: Potential and Prospects.

Recommended Books:

 

  1. ITC (2004), Principles of Remote Sensing, ITC Educational Textbook Series, Enschede, The Netherlands (as mainreference book)
  2. Campbell, J. B. &Wynne, R. H. (2011) Introduction to Remote Sensing. Fifth Edition. Guilford Press, New York.

Suggested Books:

  1. Iliffe, J. & Lott, R. (2008) Datums and Map Projections for Remote Sensing, GIS, and Surveying. Second Edition. Whittles Publishing, UK.
  2. Jensen, J. (2000) Introductory Remote Sensing: Principles and Concepts, Freeman & Co., New York.

 

  1. Jensen, J. R. (2011) Remote Sensing of the Environment: An Earth Resource Perspective. Second Edition. Prentice Hall, New Jersey.

 

Week

Topics and Readings

 

1.
  1. Introduction             
  2. History
  3. Development

(1) pp 21-26

2.
  1. Concepts and Foundation of Remote Sensing o Electromagnetic spectrum
  2. Visible Spectrum
  3. Colour Theory
  4. Atmospheric Attenuation       

(1) pp 29-38

3.
  1. Types of Remote Sensing Systems        
  2. Active Remote Sensing
  3. Passive Remote Sensing
  4. Type of Sensors

(1) pp 43-57

4.
  1. Sensor of RS RBV, MSS, TM,HRV, HRPT/APT/AVHRR, MODIS (Terra and Aqua) non-imaging systems (RADAR)
  2. Types of Satellites
  3. Manned Satellites (Gemini, Mercury, Apollo, Space Shuttles)
  4. Unmanned Satellites (Metrological, Earth Resources)

(1) pp 72-85

5.

Practical

Image Analysis, Layer Stacking, Mosaicking      

(ERDAS Imagine 2014)

6.
  1. Telecommunication, Spy, Scientific etc.)       
  2. Platforms (Orbits)
  3. Ground Receiving Stations (Reception of Data) o Image Processing

(1) pp 80-32

7.
  1. Image Classification    
  2. Image Interpretation
  3. Image Interpretation Methods

(1) pp 159-164,   pp 177-189

8.
  1. Image Interpretation Elements   
  2. Image Interpretation Tasks
  3. Image Measurements

(1) pp 193-204

 

Mid Term

 

9.
  1. Global Positioning System (GPS)     
  2. Application,
  3. Types and Methods

(9) pp 5-56

10.
  1. Applications (Hydrology, Geology, Climatology, Environmental Application, Planning, Agricultural, Forestry, Socio-economic, Health etc.)    

(4)  1-32

11.
  1. Remote Sensing in Pakistan: Potential and Prospects.

Application and Lab work on image analysis for Pakistan

(ERDAS Imagine 2014)

12.

Interpretation of aerial photographs

Satellite Images

DEM   

(Lab, (ERDAS Imagine 2014))

13.

1. various sensors data comparison,

thermal infrared image interpretation

Indices     

(Lab, (ERDAS Imagine 2014))

14.

introduction to ERDAS imagine, display, geo-linking, identification of targets

 

(Lab, (ERDAS Imagine 2014))

15.

Image classification

Mapping

Image enhancement       

(Lab, (ERDAS Imagine 2014))

16.

Presentation

 

 

Final Term

 
 

Course Material

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