Techniques for deep learning with satellite & aerial imagery
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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.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
Live weather satellite imagery for your desktop background
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
🛰 An index of aerial and satellite imagery useful for mapping