Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1928 stars · 175 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list cataloging papers, code, pre-trained weights, datasets, and benchmarks for Remote Sensing Foundation Models (RSFMs). It organizes entries by model type (vision, vision-language, generative, agents) and includes a searchable web index built from the README.

Use cases

• find pretrained foundation models for satellite imagery
• discover remote sensing datasets and benchmarks
• survey the state of the art in earth observation AI
• locate code and weights for remote sensing vision-language models
• research geospatial self-supervised learning papers
• compare remote sensing foundation model benchmarks

When to choose

• you need a comprehensive, actively updated index of RSFM research and resources
• you are starting research or a project involving satellite/aerial imagery models
• you want links to papers, code, and weights in one place

When to avoid

• you need runnable software rather than a reference catalog
• your domain is unrelated to remote sensing or geospatial imagery
• you need a single maintained model rather than a survey of many

Facets

learning-resource · maturity active

documentation machine-learning computer-vision artificial-intelligence deep-learning awesome-lists image-processing awesome-list remote-sensing foundation-models satellite-imagery earth-observation research-index pretrained-weights datasets benchmarks web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models")