Course Objectives

• • To teach Basic Principles of Remote Sensing and understand the current remote sensing system, Digital Image processing and Integration.

• • To known different satellite and its application

Learning Outcomes

• • Students will gain knowledge of basic concepts of remote sensing.
• • Students will gain knowledge of applications of different satellite imagery, image classification techniques and image analysis and interpretation.
  

Course Syllabus

Practice:

1. Installation of Image Processing software’s

2. How to download Satellite data from Earth Explorer / GLOVIS / Bhuvan

3. Different satellite / Sensor and its Product

4. Layer stacking, Metadata information, LUT, Histogram, Band Information,

5. Creation of FCCs, TCC, Subset image using Polygon, Inquiry box , Area of Interest (AOI)

6. Visual Image Interpretation, Different Image Format

7. Spectral Signature of Vegetation, Clear water body, Turbidity water, Soil.

8. Geometric Correction

9. Atmospheric Correction

10. Radiometric Correction

11. Projection and Mosaic the satellite Image

12. Import and Export satellite data, Raster to Vector and Vector to Raster conversion

13. Supervised and Unsupervised classification, PCA

14. Accuracy assessment

15. Digital Elevation Model and its application

Projects:

1. Land use and Land Cover Dynamics study using Multi-temporal satellite data.

2. Water Index study

3. Biomass Estimation

4. Mapping Forest Types using temporal Multi sensors data

5. Hydrological Modelling and Flood Hazard Assessment

6. Flood inundation mapping using remote sensing data-A Case Study

7. Soil Erosion Risk Assessment using RS and GIS

8. Spatio-temporal variation of heat stress index in Khurdha District

9. Forest Fire vulnerability modeling

10 Integration of Remote Sensing with Geophysical Techniques for Ground Water Exploration

11. Detection and mapping of sea grass using satellite imagery

12. Remote Sensing Based Reservoir Sedimentation Assessment

13. Crop inventory & cropping pattern analysis, Using Remote sensing data

14. Phytoplankton Size distribution using MODIS satellite data

15. Shoreline Dynamics using Multi-Temporal satellite data

Session Plan

1. Installation of Image Processing Software

https://www.youtube.com/watch?v=Gk3ugbPmEkw

2. How to download satellite images from usgs website

https://www.youtube.com/watch?v=RMlqchJEOmk

3. LAYER STACK IN QGIS

https://www.youtube.com/watch?v=q6L6tW7Q0J8

https://www.youtube.com/watch?v=vXCvw0CmxtU

4. Natural Color - Convert Images from False Color Composite (FCC) to Natural Color in ERDAS Imagine

https://www.youtube.com/watch?v=ULM21x8zypU

5. ATMOSPHERIC CORRECTION

https://www.youtube.com/watch?v=s9j6m-4rYxY

6. Geometric Correction Process (Image to Image)

https://www.youtube.com/watch?v=eu2ke21O0aQ

7. Mosaicing Satellite Imagery

https://www.youtube.com/watch?v=iHD7YyElB6A

8. Reprojection

https://www.youtube.com/watch?v=xTxkNcTEelc

9. IMPORT AND EXPORT IMAGE

https://www.youtube.com/watch?v=0vhnFTU4_PM

10. Supervised Classification

https://www.youtube.com/watch?v=vuamjzzdGUg

11. Accuracy Assessment

https://www.youtube.com/watch?v=aM6kQPkY27s

12. Unsupervised Classification

https://www.youtube.com/watch?v=uYBriSx-d3U

13. DEM Generation

https://www.youtube.com/watch?v=4nTS1Y8H5dg

14. Generate Contours from Digital Elevation Model

https://www.youtube.com/watch?v=t6et8cLIm24

15. Image Fusion

https://www.youtube.com/watch?v=u2tyCMTnEPQ

Reference

1. Kang-tsung Chang : Introduction to GIS , Tata McGRAW-HILL Publication
2. Remote sensing & GIS, B.Bhatta, OXFORD UNIVERSITY PRESS.
3. Remote sensing & Image interpretation, THOMAS M. LILLESAND