Remote Sensing: Principles and Applications free videos and free material uploaded by IIT Bombay Staff .
Week 1: Introduction, electromagnetic radiation, basic laws
Week 2: Radiometry, Interaction of EMR with terrain features
Week 3: RS in visible and IR domain: Radiance to reflectance, atmospheric and topographic correction
Week 4: RS image acquisition, Different types of sensors, resolution concepts
Week 5: Resolution concepts, Spectral reflectance curves
Week 6: Spectral reflectance curves, Spectral indices
Week 7: Thermal infrared remote sensing
Week 8: Passive microwave radiometry
Week 9:Active microwave remote sensing: Imaging radar
Week 10: Platforms used for RS data acquisition and characteristics
Week 11: LIDAR, Common remote sensing datasets and data portals
Week 12: Applications of RS for land use and land cover monitoring, water resources management
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.
AUDIENCE :Civil Engineering, Earth Science, Agriculture, Geoinformatics
PREREQUISITES : None
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