{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-08-19-018",
    "source_story_id": "tmp-sidebar-post-hurricane-debris-volume",
    "edition_id": "mp-2026-08-19-morning-0041",
    "edition_url": "https://themachinepress.com/edition/2026-08-19",
    "position": 20,
    "story_type": "ticker",
    "section": "other",
    "editorial_classification": "editorial",
    "headline": "One Aerial Pass Estimated the Debris",
    "slug": "one-aerial-pass-estimated-the-debris",
    "dek": "DebrisHeightNet converted post-hurricane RGB imagery into spatial volume estimates without LiDAR at deployment time.",
    "summary": "DebrisHeightNet converted post-hurricane RGB imagery into spatial volume estimates without LiDAR at deployment time.",
    "body_text": "Across ten regions from five hurricanes, the uncalibrated model correlated at 0.87 with an independent UAV survey and came within 30 percent of reported hauled debris where parametric forecasts overshot by 2.7 to 4.8 times. Its training target was fused supervision, not ground truth, and the authors explicitly quantify that limitation.",
    "why_it_matters": "DebrisHeightNet converted post-hurricane RGB imagery into spatial volume estimates without LiDAR at deployment time.",
    "limitations": [
      "Its training target was fused supervision, not ground truth, and the authors explicitly quantify that limitation."
    ],
    "importance": 8,
    "canonical_url": "https://themachinepress.com/story/mp-2026-08-19-018/one-aerial-pass-estimated-the-debris",
    "json_url": "https://themachinepress.com/story/mp-2026-08-19-018.json",
    "first_published_at": "2026-08-19T09:00:00.000-04:00",
    "modified_at": "2026-08-19T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-08-19-018-001",
        "text": "DebrisHeightNet converted post-hurricane RGB imagery into spatial volume estimates without LiDAR at deployment time.",
        "source_ids": [
          "source-2026-08-19-020"
        ],
        "qualification": "Its training target was fused supervision, not ground truth, and the authors explicitly quantify that limitation."
      }
    ],
    "source_ids": [
      "source-2026-08-19-020"
    ],
    "tags": [
      "hurricanes",
      "aerial imagery",
      "debris",
      "computer vision"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-08-19-020",
      "title": "arXiv preprint 2608.17165",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2608.17165",
      "canonical_url": "https://arxiv.org/abs/2608.17165",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-08-16T20:00:00.000-04:00",
      "accessed_at": "2026-08-19T08:22:00.000-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-08-19-018-001"
      ]
    }
  ],
  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "One Aerial Pass Estimated the Debris",
    "publisher": "The Machine Press",
    "published_at": "2026-08-19T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-08-19-018/one-aerial-pass-estimated-the-debris"
  }
}