Course10510120667 lectures
Remote Sensing: Principles and Applications
Prof. Eswar Rajasekaran · IIT Bombay
About
Remote sensing (RS) is the technology that helps to gather information about objects and phenomena from a distance. There has been a radical transformation in the technology from the early application of ‘image interpretation’ to the paradigm of quantitative RS. The advancement in sensors and data processing algorithms have led to multiple applications of RS in various domains. To perform quantitative RS, one must understand the basic nature of RS sensors, the interaction between electromagnetic radiation and earth surface features and the assumptions and limitations of the algorithms applied. This course will enable the participants to learn about the necessary physical concepts involved in different phases of RS which will help in better appreciation of algorithms and existing datasets. The concepts will further be strengthened through explanation of selected applications.
INTENDED AUDIENCE : Civil Engineering, Earth Science, Agriculture, Geoinformatics
Lectures
Week 1
- Lecture 1: Introduction to RS and EMR
- Lecture 2: Introduction to EMR
- Lecture 3: Basic Laws of RS
- Lecture 4: Properties of EMR – Part 1
- Lecture 5: Properties of EMR – Part 2
- Lecture 6: Interaction of EMR with atmosphere
Week 2
- Lecture 7: Radiometry – Part 1
- Lecture 8: Radiometry – Part 2
- Lecture 9: Radiometry – Part 3
- Lecture 10: Reflectance, albedo and related quantities
- Lecture 11: Interaction of EMR with terrain features – Part 1
- Lecture 12: Interaction of EMR with terrain features – Part 2
Week 3
- Lecture 13: Radiation reaching sensor – Part 1
- Lecture 14: Radiation reaching sensor – Part 2
- Lecture 15: RS data: From Radiance to reflectance – Part 1
- Lecture 16: RS data: From Radiance to reflectance – Part 2
- Lecture 17: RS data: From Radiance to reflectance – Part 3
Week 4
- Lecture 18: RS image acquisition and RS systems – Part 1
- Lecture 19: RS image acquisition and RS systems – Part 2
- Lecture 20: RS image acquisition and RS systems – Part 3
- Lecture 21: RS image acquisition and RS systems – Part 4
- Lecture 22: RS image acquisition and RS systems – Part 5
- Lecture 23: RS image acquisition and RS systems – Part 6
Week 5
- Lecture 24: RS image acquisition and RS systems – Part 7
- Lecture 25: RS image acquisition and RS systems – Part 8
- Lecture 26: RS image acquisition and RS systems – Part 9
- Lecture 27: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands – Part 1
- Lecture 28: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands – Part 2
- Lecture 29: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands – Part 3
Week 6
- Lecture 30: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands – Part 4
- Lecture 31: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands – Part 5
- Lecture 32: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands – Part 6
- Lecture 33: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands – Part 7
- Lecture 34: Spectral Indices
Week 7
- Lecture 35: Thermal Infrared Remote Sensing – Part 1
- Lecture 36: Thermal Infrared Remote Sensing – Part 2
- Lecture 37: Thermal Infrared Remote Sensing – Part 3
- Lecture 38: Thermal Infrared Remote Sensing – Part 4
- Lecture 39: Thermal Infrared Remote Sensing – Part 5
Week 8
- Lecture 40: Passive Microwave Remote Sensing – Part 1
- Lecture 41: Passive Microwave Remote Sensing – Part 2
- Lecture 42: Passive Microwave Remote Sensing – Part 3
- Lecture 43: Passive Microwave Remote Sensing – Part 4
- Lecture 44: Active microwave Remote Sensing – Radar – Part 1
Week 9
- Lecture 45: Active microwave Remote Sensing – Radar – Part 2
- Lecture 46: Active microwave Remote Sensing – Radar – Part 3
- Lecture 47: Active microwave Remote Sensing – Radar – Part 4
- Lecture 48: Active microwave Remote Sensing – Radar – Part 5
- Lecture 49: Active microwave Remote Sensing – Radar – Part 6
Week 10
- Lecture 50: Platforms for remote sensing observations – Part 1
- Lecture 51: Platforms for remote sensing observations – Part 2
- Lecture 52: Platforms for remote sensing observations – Part 3
- Lecture 53: Platforms for remote sensing observations – Part 4
- Lecture 54: Platforms for remote sensing observations – Part 5
- Lecture 55: Platforms for remote sensing observations – Part 6
Week 11
- Lecture 56: LIDAR – Part 1
- Lecture 57: LIDAR – Part 2
- Lecture 58: LIDAR – Part 3
- Lecture 59: RS data, data portals and processing tools – Part 1
- Lecture 60: RS data, data portals and processing tools – Part 2
- Lecture 61: RS data, data portals and processing tools – Part 3
Week 12
- Lecture 62: Land use, land cover monitoring and change detection – Part 1
- Lecture 63: Land use, land cover monitoring and change detection – Part 2
- Lecture 64: Application of RS in water resources management – Part 1
- Lecture 65: Application of RS in water resources management – Part 2
- Lecture 66: Application of RS in water resources management – Part 3
- Lecture 67: Application of RS in water resources management – Part 4
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Bombay
- Department
- Civil Engineering
- Teacher
- Prof. Eswar Rajasekaran
- Level
- Undergraduate
- Language
- English
- Subjects
- Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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