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    "story_id": "mp-2026-07-17-003",
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    "headline": "Two Satellites Fill the Soil-Moisture Gaps",
    "slug": "two-satellites-fill-the-soil-moisture-gaps",
    "dek": "A dual-branch Transformer combines GNSS reflections from Tianmu-1 and Fengyun-3 into broader coverage.",
    "summary": "A dual-branch Transformer combines GNSS reflections from Tianmu-1 and Fengyun-3 into broader coverage.",
    "body_text": "The model learns each satellite separately before fusing them on a 36-kilometer grid. The product reached 79.7% average monthly coverage and a reported 0.88 correlation with NASA's SMAP reference. Ground comparisons were weaker and arid regions performed best, so broader validation remains necessary.",
    "why_it_matters": "A dual-branch Transformer combines GNSS reflections from Tianmu-1 and Fengyun-3 into broader coverage.",
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    "importance": 9,
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    "first_published_at": "2026-07-17T09:00:00.000-04:00",
    "modified_at": "2026-07-17T14:34:04.943-04:00",
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    "tags": [
      "remote sensing",
      "soil moisture",
      "satellites"
    ],
    "image_url": null,
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    {
      "source_id": "source-2026-07-17-003",
      "title": "CAS via Newswise: Satellite fusion sharpens soil moisture",
      "publisher": "CAS via Newswise",
      "url": "https://www.newswise.com/articles/satellite-fusion-sharpens-the-global-view-of-soil-moisture",
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      "published_at": "2026-07-17T03:45:00.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
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    "description": "A daily newspaper for the age of artificial intelligence."
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    "title": "Two Satellites Fill the Soil-Moisture Gaps",
    "publisher": "The Machine Press",
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