Remote Sensing: Principles and Applications
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Remote Sensing: Principles and Applications
Why enroll
This course is highly valuable for civil engineers, environmental engineers, planners, and geoscience professionals seeking to use spatial data for analysis and decision-making. It builds essential skills in satellite data interpretation and geospatial analysis, which are increasingly important in infrastructure planning, environmental monitoring, and disaster risk assessment. The course also provides a strong foundation for advanced studies in GIS, digital image processing, and geospatial technologies.
Course content
The course is readily available, allowing learners to start and complete it at their own pace.
Remote Sensing: Principles and Applications
30 Lectures
873 min
Lecture 1: Introduction to RS and EMR
Preview
19 min
Lecture 2: Introduction to EMR
25 min
Lecture 3: Basic Laws of RS
23 min
Lecture 4: Properties of EMR – Part 1
27 min
Lecture 5: Properties of EMR – Part 2
21 min
Lecture 6: Interaction of EMR with atmosphere
28 min
Lecture 7: Radiometry – Part 1
34 min
Lecture 8: Radiometry – Part 2
32 min
Lecture 9: Radiometry – Part 3
32 min
Lecture 10: Reflectance, albedo and related quantities
26 min
Lecture 11: Interaction of EMR with terrain features – Part 1
29 min
Lecture 12: Interaction of EMR with terrain features – Part 2
20 min
Lecture 13: Radiation reaching sensor – Part 1
29 min
Lecture 14: Radiation reaching sensor – Part 2
28 min
Lecture 15: RS data: From Radiance to reflectance – Part 1
33 min
Lecture 16: RS data: From Radiance to reflectance – Part 2
28 min
Lecture 17: RS data: From Radiance to reflectance – Part 3
33 min
Lecture 18: RS image acquisition and RS systems – Part 1
20 min
Lecture 19: RS image acquisition and RS systems – Part 2
33 min
Lecture 20: RS image acquisition and RS systems – Part 3
26 min
Lecture 21: RS image acquisition and RS systems – Part 4
36 min
Lecture 22: RS image acquisition and RS systems – Part 5
24 min
Lecture 23: RS image acquisition and RS systems – Part 6
39 min
Lecture 24: RS image acquisition and RS systems – Part 7
36 min
Lecture 25: RS image acquisition and RS systems – Part 8
36 min
Lecture 26: RS image acquisition and RS systems – Part 9
34 min
Lecture 27: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands- 1
33 min
Lecture 28: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands– 2
30 min
Lecture 29: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands– P 3
31 min
Lecture 30: Spectral Properties of few common earth features in the Visible, NIR and SWIR bands– P 4
28 min
Course details
The Remote Sensing: Principles and Applications course provides a comprehensive understanding of how information about the Earth’s surface and atmosphere is collected, processed, and interpreted using satellite and airborne sensors. The course explains the physical principles behind remote sensing, including electromagnetic radiation, interaction of energy with matter, and sensor technologies used to acquire spatial data.
The course covers different remote sensing platforms, sensor types, and data acquisition systems, along with digital image processing techniques for extracting meaningful information. Emphasis is placed on practical applications of remote sensing in civil engineering, environmental studies, urban planning, disaster management, water resources, agriculture, and geology. By the end of the course, learners gain the ability to interpret satellite imagery, analyze spatial patterns, and apply remote sensing data to solve real-world engineering and environmental problems.
SOURCE- youtube [NPTEL IIT Bombay]
Course suitable for
Oil & Gas Rail & Transport Civil & Structural
Key topics covered
Fundamentals of remote sensing and electromagnetic spectrum
Interaction of radiation with Earth materials
Remote sensing platforms and sensor systems
Types of satellite imagery and resolutions
Image enhancement and digital image processing
Visual and digital interpretation of satellite images
Applications in land use and land cover mapping
Remote sensing in water resources and agriculture
Disaster management and hazard mapping
Urban planning and environmental monitoring
Integration of remote sensing with GIS
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