Microwave Remote Sensing in Hydrology Course | IIT Bombay Prof. J. Indu
Course Details
| Exam Registration | 84 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Civil Engineering, Environment |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 24 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Microwaves to Solve Water Resource Challenges
Water is our planet's most vital resource, and understanding its complex dynamics is crucial for sustainable management. Traditional ground-based monitoring often falls short in providing the spatial and temporal coverage needed. This is where Microwave Remote Sensing emerges as a revolutionary tool. Unlike optical sensors, microwaves can penetrate clouds, haze, and, to some extent, vegetation and soil, providing all-weather, day-and-night monitoring capabilities essential for hydrological studies.
We are excited to present a detailed 12-week postgraduate course, "Microwave Remote Sensing in Hydrology," instructed by Prof. J. Indu from the Indian Institute of Technology Bombay (IIT Bombay). This course is meticulously designed to transform researchers and students into proficient practitioners capable of harnessing microwave data for critical applications in water resources engineering, meteorology, and climate science.
Meet Your Instructor: Prof. J. Indu
Leading this advanced course is Prof. J. Indu, a distinguished faculty member in the Remote Sensing Division of the Department of Civil Engineering at IIT Bombay. With a robust academic foundation—a B.Tech in Civil Engineering, an M.Tech in Geoinformatics from IIT Kanpur, and a PhD from IISc Bangalore—Prof. Indu brings deep expertise to the table. Her research, honed through affiliations like the National Weather Centre, University of Oklahoma, focuses on:
- Microwave remote sensing for hydrometeorology.
- Uncertainty analysis using Data Assimilation.
- Radar Remote Sensing for water resources engineering.
Her practical and research-oriented approach ensures the course content is both cutting-edge and highly applicable.
Who Should Enroll in This Course?
This course is tailored for a wide range of professionals and students aiming to specialize in remote sensing applications for environmental and water resource management.
- Students: Postgraduate (PG) and advanced Undergraduate (UG) students in Civil Engineering, Environmental Science, Remote Sensing, and Geoinformatics.
- Researchers & Academicians: Professionals working in water resources, hydrology, meteorology, and climate science domains.
- Industry Professionals: Employees in firms like RMSI, ERDAS, and any organization with a remote sensing and GIS applications wing will find immense value in this certification.
Course Overview & Learning Objectives
This comprehensive course bridges the gap between theoretical principles and hands-on application. Over 12 weeks, you will:
- Grasp the fundamentals of electromagnetic waves and microwave remote sensing (both passive and active).
- Master the processing and interpretation of Synthetic Aperture Radar (SAR) imagery.
- Develop proficiency in microwave image processing using open-source Python programming and tools like the Sentinel Application Platform (SNAP).
- Learn to apply microwave data to solve real-world hydrological problems such as soil moisture measurement, precipitation analysis, flood mapping, and radar altimetry for water level monitoring.
- Become capable of deciphering complex microwave data for scientific research and informed policy-making in the water sector.
Detailed 12-Week Course Curriculum
The course is structured to build your knowledge from the ground up, culminating in advanced applications.
| Week | Core Topics Covered |
|---|---|
| Week 1-2 | Fundamentals of EM Waves, Intro to Microwave Sensors, Python Setup, Scattering, SAR Basics, Initial Image Processing with Python. |
| Week 3-4 | Radar Equation, Geometric Distortions, Intro to SNAP, Speckle Noise, Doppler Shift, Multilooking, Python for Plotting & Statistics. |
| Week 5-6 | Image Texture (GLCM), Advanced Image Statistics, Speckle Filtering Techniques using Python. |
| Week 7-8 | Image Classification: Supervised & Unsupervised Methods, Accuracy Assessment, Fuzzy Classification, Handling Active Data in Python. |
| Week 9-10 | Applications in Hydrology, Doppler Weather Radar, Radar Altimetry, Soil Moisture Measurement, Fundamentals of Passive Microwave Sensing. |
| Week 11-12 | Passive Microwave Applications, Precipitation Data Handling, Radar Interferometry (InSAR), DEM Generation, Intro to Hydrological Models. |
Essential Reference Books
To supplement your learning, the course draws from authoritative texts in the field:
- Microwave Remote Sensing: Active and Passive by Fawwaz T. Ulaby, Richard K. Moore, Adrian K. Fung
- Passive Microwave Remote Sensing of the Earth by Eugene A. Sharkov
- Microwave Remote Sensing Tools in Environmental Science by Costas A. Varotsos and Vladimir F. Krapivin
- Introduction to Microwave Remote Sensing by Iain H. Woodhouse
Why This Course is a Career Investment
In an era defined by climate change and water scarcity, expertise in microwave remote sensing is a highly sought-after skill. This course offers:
- Industry-Relevant Skills: Direct training in tools (Python, SNAP) and concepts used by leading remote sensing firms.
- Expert-Led Training: Learn from an IIT Bombay professor with significant research and industry recognition.
- Holistic Understanding: From sensor physics to final hydrological application, gain an end-to-end perspective.
- Problem-Solving Focus: Move beyond theory to tackle complex, real-world scientific and policy problems in water management.
Duration: 12 Weeks | Level: Postgraduate | Categories: Civil Engineering, Environment, Remote Sensing
Take the next step in your professional journey. Enroll in "Microwave Remote Sensing in Hydrology" and equip yourself with the advanced skills to observe, analyze, and protect our planet's water resources like never before.
Enroll Now →