{
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  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-for-remote-sensing",
  "headline": "AI for Remote Sensing: Foundation Models, Satellite Image Analysis, and Earth Observation",
  "description": "Remote sensing AI transforms satellite pixels into actionable Earth intelligence — monitoring deforestation in real-time, mapping flood extent within hours of disaster, and classifying crops across continents. Foundation models pretrained on petabytes of Earth observation data are democratizing planetary-scale AI, enabling few-shot deployment for any location on Earth.",
  "dateCreated": "2026-05-24T02:49:13.528Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Advancing Earth observation with a multi-modal remote sensing foundation model",
      "sameAs": "https://www.nature.com/articles/s44287-025-00208-z"
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    {
      "@type": "CreativeWork",
      "name": "Foundation Models for Remote Sensing and Earth Observation: A Systematic Survey",
      "sameAs": "https://ieeexplore.ieee.org/document/11097335"
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