🛰️ Remote sensing project using Sentinel-1 SAR data | Area: Prayagraj 📌 SNAP, PolSARpro | C2/T3 Matrix, Freeman/Yamaguchi/G4U decomposition 🤖 Random Forest Classification | 🗺️ DEM Generation | 🎯 Final report & PPT
📁 IITB-Microwave-SAR-Prayagraj/
├── Final Report and PPT ON Prayagraj/
├── Microwave Data Using ASF For Prayagraj/
├── RASTER CALCULATIONS
├── complex data
├── COREGISTRATION - .pptx
├── README.md
- 📍 Area of Study: Prayagraj, Uttar Pradesh, India 🇮🇳
- 📆 Dataset: Sentinel-1 SLC (two scenes with a 6-day gap)
- 🌀 Co-registration of SAR images
- 📊 Raster calculations, masking & subset
- 🧮 T3 matrix generation for polarimetric data
- 🧼 Normalization of SAR intensities
- 🌳 Random Forest Classification for land cover
- 🛰️ Polarimetric Decompositions: Freeman, Yamaguchi, G4U
- 🌄 DEM Generation using SNAP
- 📈 Accuracy evaluation using confusion matrix
| Tool | Use | Link |
|---|---|---|
| SNAP | SAR data processing (by ESA) | Download SNAP |
| Snaphu Plugin | Unwrapping phase for DEM generation | Snaphu Plugin |
| QGIS | Optional for DEM visualization | Download QGIS |
| EarthExplorer | Download Sentinel or Landsat data | USGS EarthExplorer |
Want to try this project? Here's the sequence I followed:
- Import SLC data in SNAP
- Apply Orbit File
- Split and Subset to focus on the AOI (Prayagraj)
- Perform Co-registration between two acquisitions
- Generate Interferogram (if applicable)
- Apply Freeman / Yamaguchi / G4U Decomposition
- Train & apply Random Forest Classifier
- Export DEM or classification layers
- Run Accuracy Evaluation using confusion matrix
- Document with PPT + Final Report
- 📝 Final Report (PDF): Includes images, steps, and interpretation
- 📊 Final PPT: Includes project results, analysis & output maps
- 🗂️ All work folders and intermediate results
🎬 I’ve also shared my experience in vlog format!
(Shows the classroom, project phase, tools,campus toor and fun moments)
As a CS/IT student, remote sensing was completely new to me.
This course helped me step outside of coding and understand Earth observation, SAR data, and geospatial tools.
While I didn’t find a deep passion in it, I’m still grateful for the experience and knowledge. Completing this project — even with doubts — gave me confidence to try new things.
Thanks to:
- Prof. Gulab Singh – Course Mentor (CSRE, IIT Bombay)
- Konika Ma’am, Ajay Sir, Shree Lakshmi Ma’am, Vandana Ma’am – Teaching Assistants who solved all small errors without hesitation 💙
- Vidyalankar Institute of Technology, Mumbai – for nominating me to attend this program.
- 👩💻 Riya Sunil Kharade
- 📧 Email: riyasunilkharade.vit@gmail.com
- 🎓 College: Vidyalankar Institute of Technology, Mumbai
- 🏫 Program Conducted at: CSRE, IIT Bombay (June 5–14, 2025)
#IITBombay #SNAP #PolSARpro #RemoteSensing #RadarImaging
#GeospatialAnalysis #SARData #EarthObservation #QGIS #MicrowaveSAR
#Sentinel1 #DEM #RandomForest #Prayagraj