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An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot.
:satellite: All You Need to Know About Deep Learning - A kick-starter
Rasterio reads and writes geospatial raster datasets
An open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
A 1:1 scale streamed Earth for BeamNG.drive: real elevation and satellite imagery, floating origin, LOD streaming from a companion server
Train a deep learning net with OpenStreetMap features and satellite imagery.
Python package for earth-observing satellite data processing
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
framework for large-scale SAR satellite data processing
Python version of the SGP4 satellite position library
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.