{
 "snippet": "Machine learning detection of log decks and burn piles across Plumas County and the Dixie Fire perimeter using 2022 NAIP imagery. Confidence scores are classified into 10% bins (10-20% through 90-100%) for both deck and pile detections. Based on ~500 verified pile locations with approximately 75% accuracy. Detection focused on areas within 150m of road networks where pile operations typically occur. Covers approximately 5,050 square miles including Plumas National Forest. Original detection at 38.4m resolution.",
 "summary": "Machine learning detection of log decks and burn piles across Plumas County and the Dixie Fire perimeter using 2022 NAIP imagery. Confidence scores are classified into 10% bins (10-20% through 90-100%) for both deck and pile detections. Based on ~500 verified pile locations with approximately 75% accuracy. Detection focused on areas within 150m of road networks where pile operations typically occur. Covers approximately 5,050 square miles including Plumas National Forest. Original detection at 38.4m resolution.",
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 "thumbnail": "thumbnail/thumbnail.png",
 "maxScale": 1.7976931348623157E+308,
 "typeKeywords": [
  "ArcGIS",
  "ArcGIS Server",
  "Data",
  "Feature Access",
  "Feature Service",
  "providerSDS",
  "Service"
 ],
 "description": "",
 "licenseInfo": "",
 "catalogPath": "",
 "title": "Deck_Pile_Detection_PC398_fs",
 "type": "Feature Service",
 "url": "",
 "tags": [],
 "culture": "en-US",
 "portalUrl": "",
 "name": "Deck_Pile_Detection_PC398_fs",
 "guid": "D5E5CA34-66E8-45A1-80AB-EC3AE8E4136C",
 "minScale": 0,
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere"
}