DEVARAJ RAJA
Geospatial AI Data Scientist | SAR/InSAR Analyst | Remote Sensing & Spatial Data Automation
SAR Engineer at Eartheye Space
About
Experience
SAR Engineer
Eartheye Space · full time
Apr 2025 – Nov 2025 · 7 mos · Bangalore, India
• Oil Spill Detection: Developed an automated processing pipeline for detecting and monitoring oil spills using Very High Resolution SAR data (Capella, Umbra and ICEYE etc.). Reduced processing and delivery time from 1 hour to 1 min. (Threshold technique). • Flood Detection: Designed an automated processing pipeline for flood detection (Capella, Umbra etc.). Reduced processing and delivery time from 25 min to 1 min. (Threshold technique). • Soil Moisture: Developed an automated processing pipeline to detect soil moisture using SAR data for X-band (Capella), C-band (Sentinel-1), and L-band (ALOS PALSAR-2). (RSMI). • Blank Spot Detection: Automated processing pipeline to detect blank spots in plantation areas (Variance value). • Path Detection: Automated processing pipeline to detect paths in plantation areas. • DinSAR: Processed newly available Fucheng-1 data for surface deformation analysis. (Variance value). • Co-registration of Optical and SAR Data: Fused data by applying cloud removal on optical data and spatially co-registered it with SAR imagery. • Change Detection: Using radar backscatter values, performed change detection analysis to detect deforestation, river ice formation, and wildfires. • Vessel Detection: Threshold-based approach used to detect vessels in the sea. • Methane Extraction: Extracted methane values from Sentinel-5 data.
Junior Research Fellow - National Hydrology Project
National Remote Sensing Centre, ISRO · full time
Aug 2023 – Mar 2025 · 1 yr 7 mos · Hyderabad, India
• Subsidence Monitoring using SBAS: Identified subsidence in dams using SAR Single Look Complex (SLC) data, applying the Small Baseline Subset (SBAS) InSAR technique within a Python Jupyter Notebook environment. This approach significantly reduced computational time from weeks to days and enabled subsidence estimation using single-pass images. • DinSAR based Subsidence Monitoring: Estimated subsidence for an additional dam using Differential InSAR (DinSAR) methodology. • Flood Mapping and Analysis: Flood mapping using various synthetic aperture radar (SAR) and optical commercial data sets from International Charter including RCM 3, TerraSAR, COSMO-SkyMed, Gaofen-3, ALOS-PALSAR-2, Worldview, GeoEye, and KOMPSAT. Developed models to minimize manual corrections and produced false colour composite (FCC) images along with 3D video animations to effectively present the findings. • InSAR DEM for Landslide Analysis: Applied microwave InSAR techniques for generation of Digital Elevation Model (DEMs), subsequently utilizing the generated DEMs to estimate the volume of landslide. • Photogrammetry DEM for Landslide Analysis: Created DEMs using the CartoSAT-3 photogrammetry technique and the estimated volume of landslides. • Flood Modeling: Flood Modeling using Mike and HEC-RAS. • Flood Risk assessment: Prepared Flood hazard and zonation mapping. Carried out vulnerability assessment for risk analysis.
Projects & Portfolio
AI Projects
I have implemented GeoAI workflows across object detection, semantic segmentation, and instance segmentation for different geospatial applications including maritime monitoring, agriculture, vegetation, transportation, water resources, and built-up mapping.
Skills & Endorsements
Education
M.E.
CEG Campus, Guindy, Anna University · Remote Sensing and Geomatics
Jan 2018 – Jan 2020
B.E.
SVCET, Anna University · Civil Engineering
Jan 2014 – Jan 2018
Publications
Exploring the Untapped Potential: Using AHP and GIS to Identify Suitable Areas for Tourism Development in Meghalaya
IJIRSES
GLOF in the South Lhonak Lake, India: Photogrammetric Analysis and Estimation
Journal of Water and Climate Change · 2024-12-01