Remote Sensing & LiDAR
Environmental Monitoring & Carbon Credit Research
Liquid Trees · UK
Extracted high-resolution satellite data via Google Earth Engine for environmental analysis. Analyzed river bank erosion and water temperature to support flood prevention and land management. Applied machine learning for river bank shift detection and remote sensing for sediment deposition monitoring on Indian rivers. Leveraged Sentinel-3 imagery to track dissolved CO₂ concentrations in the Vaigai and Amba Rivers, contributing to carbon credit initiatives.
- Satellite data points processed
- 1.5M+
- River bank shift detection accuracy
- 98.7%
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