Microwave Remote Sensing in Hydrology

By Prof.J. Indu | IIT Bombay

Learners enrolled: 548

ABOUT THE COURSE ;

This course shall explain the fundamentals of microwave remote sensing in passive and active domain with application in civil engineering (hydrology, meteorology). An emphasis is made to teach microwave image processing through open source programming languages like python. Further objective of this course is to make a student capable to interpreting and deciphering the microwave data for complex scientific and policy problems in the water arena, all of which require high quality training.

INTENDED AUDIENCE: Researchers, UG and PG students of Engineering, Remote Sensing, Industries working in Microwave remote sensing, environment and climate domain, Academicians working in Water resources and hydrology.

INDUSTRY SUPPORT: RMSI, ERDAS and similarly all firms/companies which have a remote sensing and GIS applications wing shall recognize/value this course

Summary

Course Status :	Completed
Course Type :	Elective
Language for course content :	English
Duration :	12 weeks
Category :	Civil Engineering Environment
Credit Points :	3
Level :	Postgraduate
Start Date :	23 Jan 2023
End Date :	14 Apr 2023
Enrollment Ends :	06 Feb 2023
Exam Registration Ends :	17 Mar 2023
Exam Date :	30 Apr 2023 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1: Fundamentals of Electromagnetic Waves, Introduction to microwave remote sensing, Overview of non-imaging and imaging microwave sensors, principles, physical fundamentals, Installation of python using Anaconda Environment and basic commands

Week 2: Scattering of Microwaves, Fundamentals of Synthetic Aperture Radar (SAR), Basics of Image formation, Basics of SAR Image processing using python

Week 3: Radar equation, Image defects - Geometric distortions, Introduction to Sentinel Application Platform (SNAP)

Week 4: Speckle, Doppler Shift in SAR Imagery, Multilooking, Spatial Convolution, Introduction to plotting and image statistics in python

Week 5: Introduction to Texture, GLCM, Introduction to Image statistics in Python

Week 6: Radar remote sensing, Speckle filtering using python

Week 7: Image classification, geometrical basis, Supervised Classification, SAR Image Classification using SNAP

Week 8: Unsupervised classification, Accuracy Assessment, Fuzzy Classification, Handling Active microwave data in Python

Week 9: Active microwave remote sensing: Principles, Application of active microwave remote sensing in hydrology, Doppler weather radar data visualization

Week 10: Radar Altimetry, concepts and applications in hydrology, Measuring soil moisture using active microwave remote sensing, Fundamentals of Passive microwave remote sensing and data handling using python

Week 11: Applications of passive microwave remote sensing in hydrology, Handling Precipitation data in python

Week 12: Radar Interferometry, using phase as a relative distance measure, Digital Elevation Models, Hydrological Models – An Introduction

Books and references

1. Microwave Remote Sensing Active and Passive by Fawwaz T Ulaby, Richard K Moore, Adrian K Fung

2. Passive microwave remote sensing of the Earth by Eugene A Sharkov

3. Microwave Remote Sensing tools in Environmental Science by Costas A Varotsos and Vladimir F Krapivin

4. Introduction to Microwave Remote Sensing(Iain H. Woodehouse)

Instructor bio

Prof.J. Indu

IIT Bombay

Prof. J. Indu is currently working as faculty with the Remote Sensing Division, Department of Civil Engineering, IIT Bombay. Prof. J. Indu has been an affiliate at the National Weather Centre, University of Oklahoma through the WISTEMM fellowship. Prof. J. Indu completed her B.Tech in Civil engineering from MACE, Kothamangalam, Kerala and M.Tech in Geoinformatics from IIT Kanpur and PhD from IISc Bangalore. Her research interests are focused towards using microwave images for applications in hydrometeorology, uncertainty analysis using Data Assimilation, Radar Remote Sensing for water resources engineering.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 30 April 2023 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Bombay.It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

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