Course Name: Remote Sensing: Principles and Applications

Course abstract

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.


Course Instructor

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Prof. Eswar Rajasekaran

Dr. Eswar is currently working as Assistant Professor in the Department of Civil Engineering, IIT Bombay. Previously he was working as Postdoctoral fellow in the NASA Jet Propulsion Laboratory, Pasadena, California from 2016-2018. Dr. Eswar completed his Bachelors in Geoinformatics from College of Engineering Guindy, Anna University, Chennai with University Gold Medal and Ph.D. from IISc, Bangalore. His primary research interests are thermal infrared remote sensing (TIR RS), mapping evapotranspiration and flux partitioning from RS, drought monitoring from RS datasets, spatial disaggregation of TIR data, applications of TIR RS in areas such as agriculture, water and urban studies. He had published articles in leading journals and is also a peer reviewer for some of the top journals in the field such as Remote Sensing of Environment, Remote Sensing etc.
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 Course Duration : Jan-Apr 2022
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 Enrollment : 14-Nov-2021 to 31-Jan-2022
 Exam registration : 13-Dec-2021 to 18-Mar-2022
 Exam Date : 24-Apr-2022

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Enrollment Statistics

Total Enrollment: 1825

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