Observer based point cloud viewshed
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Updated
Jul 17, 2025 - Jupyter Notebook
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.
An interactive NDVI-based satellite viewer that detects and visualizes deforestation over time built with Streamlit and Microsoft Planetary Computer
Spatiotemporal tools to make tif generation from Sentinel-2 satellites easier.
The Microsoft Planetary Computer Catalog in CSV format
Prefect integrations with Microsoft Planetary Computer.
Figuring out what the hottest villages in Kerala are with the help of Microsoft's Planetary Computer
Streamlit web app 🎈 for creating 3D-printable models of the earth 🌍 surface based on mapa
A Python package for simple STAC queries
Satellite image time series in R
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