Surface water mapping using Sentinel-1 and Google Earth Engine
A Python toolkit designed to construct deep learning-ready datasets from Google Earth Engine
CO2NEX Whitepaper — Roadmap, vision, and infrastructure explained.
AgriTech-WISE est une plateforme web avancée qui révolutionne le monitoring de l'humidité du sol en agriculture grâce à l'imagerie satellite et l'intelligence artificielle.
Notebook environment for Satellite Image Analysis (GEOG 581) coursework.
This repository contains code for generating Sentinel-2 imagery using GEE and SentinelHub Python API and applying Segment Anything Geospatial at scale.
A comprehensive, end-to-end geospatial pipeline for wildfire damage assessment. Integrates Google Earth Engine (GEE) data harvesting with NASA-IBM Prithvi EO 2.0 (Vision Transformer) fine-tuning to achieve a +50.58% Macro F1 improvement in burn scar severity classification.
Exploring and detecting farm plots in KAZA in collaboration with WWF Germany's Space+Science Team
End-to-end MLOps pipeline predicting ward-level mean Land Surface Temperature across 198 BBMP wards of Bengaluru from satellite-derived land-use composition features. Deployed as a Flask REST service. Foundational repository for a three-part research program on Bengaluru ward-level climate analysis.
Land Cover Classification for KAZA in Collaboration with WWF Space Science Germany
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