A Python package for simple STAC queries
Streamlit web app 🎈 for creating 3D-printable models of the earth 🌍 surface based on mapa
Prefect integrations with Microsoft Planetary Computer.
The Microsoft Planetary Computer Catalog in CSV format
3rd place, Gemini Award — “Transforming Enterprise Through AI” lablab.ai hackathon. Autonomous freshwater monitoring with Sentinel‑2 imagery, deterministic spectral indices, and a Gemini multi‑agent workflow for risk triage and citizen‑friendly reports.
An interactive NDVI-based satellite viewer that detects and visualizes deforestation over time built with FastAPI and Microsoft Planetary Computer
Spatiotemporal tools to make tif generation from Sentinel-2 satellites easier.
Visualizes environmental changes in a region over a period of time using OlmoEarth embeddings.
Hybrid ML + GIS pipeline for wildfire vegetation risk: U-Net segmentation on Sentinel-2 with Dynamic World labels, fused with line-distance and slope to produce a tunable risk raster. Validated across three external California AOIs.
Linear-probe land-cover classifier on precomputed Tessera (Sentinel-1+2 foundation model) embeddings — one tile, one day, CPU-only.
FastAPI service for downloading satellite imagery from Microsoft Planetary Computer. Deployed serverless on AWS Lambda with Docker.
Sieve polygons by fractional class coverage of categorical rasters, read directly from Cloud-Optimized GeoTIFFs over HTTP.
Scalable pipeline for geospatial data processing: Direct ingestion from Microsoft Planetary Computer or batch processing of CHIRPS climate data with COG conversion, STAC metadata generation, and Azure GeoCatalog integration.
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