{ "culture": "en-US", "name": "Deck_Pile_Detection_PC398_fs", "guid": "D5E5CA34-66E8-45A1-80AB-EC3AE8E4136C", "catalogPath": "", "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.", "description": "", "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.", "title": "Deck_Pile_Detection_PC398_fs", "tags": [], "type": "Feature Service", "typeKeywords": [ "ArcGIS", "ArcGIS Server", "Data", "Feature Access", "Feature Service", "providerSDS", "Service" ], "thumbnail": "thumbnail/thumbnail.png", "url": "", "extent": [ [ -121.525361823856, 39.5333878726314 ], [ -120.026043182434, 40.5122219505599 ] ], "minScale": 0, "maxScale": 1.7976931348623157E308, "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere", "accessInformation": "", "licenseInfo": "", "portalUrl": "" }