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