Satellite image time series in R
A Python package for simple STAC queries
Streamlit web app 🎈 for creating 3D-printable models of the earth 🌍 surface based on mapa
Figuring out what the hottest villages in Kerala are with the help of Microsoft's Planetary Computer
Prefect integrations with Microsoft Planetary Computer.
The Microsoft Planetary Computer Catalog in CSV format
Client-side web application for exploring satellite imagery from Microsoft Planetary Computer. Supports Sentinel-2, Landsat, SAR, DEM, and MODIS with interactive visualization, measurement tools, and multi-band selection.
Spatiotemporal tools to make tif generation from Sentinel-2 satellites easier.
An interactive NDVI-based satellite viewer that detects and visualizes deforestation over time built with FastAPI and Microsoft Planetary Computer
FastAPI service for downloading satellite imagery from Microsoft Planetary Computer. Deployed serverless on AWS Lambda with Docker.
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.
Observer based point cloud viewshed
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.
🛰 Streamline the creation of georeferenced `.tif` images from Sentinel-2 Level-2A data, enhancing your analysis with flexible spatial and temporal options.
Add a description, image, and links to the planetary-computer topic page so that developers can more easily learn about it.
To associate your repository with the planetary-computer topic, visit your repo's landing page and select "manage topics."