Remote Sensing: Principles and Applications

Remote Sensing: Principles and Applications by Indian Institute of Technology Bombay

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Created by IIT Bombay Staff Last updated Tue, 29-Mar-2022 English


Remote Sensing: Principles and Applications free videos and free material uploaded by Indian Institute of Technology Bombay (IIT Bombay). This session contains about Remote Sensing: Principles and Applications Updated syllabus , Lecture notes , videos , MCQ , Privious Question papers and Toppers Training Provided Training of this course. If Material not uploaded check another subject

Syllabus / What will i learn?

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



Curriculum for this course
0 Lessons 00:00:00 Hours
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Description

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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1:1 Online Training / Explanation Fee: 1 /- Month

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