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Service Description: <div style='text-align:Left;font-size:12pt'><p style='margin:0 0 0 0;'><span>RS-FRIS is a remote-sensing based forest inventory for WA DNR State Trust lands. RS-FRIS predicts forest conditions using statistical models that relate field measurements to three-dimensional remotely-sensed data (DAP and LiDAR point clouds). Forest metrics are predicted at a scale of 1/10th acre and stored as rasters. </span></p><p style='margin:0 0 0 0;'><span><span>The attributes of each RIU are calculated as the mean of the raster cell values that fall within each polygon. Note: origin year and age are exceptions, and are based on the median value.</span></span></p><p style='margin:0 0 0 0;'><span>RS-FRIS 5.2 was constructed using remote-sensing data collected in 2021 and 2022. Version 5.2 incorporates depletions for selected completed harvest types through 2024-12-31.</span></p></div>

Map Name: WADNR_PUBLIC_RS_FRIS_Polys

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Description: RS-FRIS is a remote-sensing based forest inventory for WA DNR State Trust lands. RS-FRIS predicts forest conditions using statistical models that relate field measurements to three-dimensional remotely-sensed data (DAP and LiDAR point clouds). Forest metrics are predicted at a scale of 1/10th acre and stored as rasters. The attributes of each RIU are calculated as the mean of the raster cell values that fall within each polygon. Note: origin year and age are exceptions, and are based on the median value.RS-FRIS 5.2 was constructed using remote-sensing data collected in 2021 and 2022. Version 5.2 incorporates depletions for selected completed harvest types through 2024-12-31.

Service Item Id: be1fa36760534ab79f42425ba56c65c9

Copyright Text: Washington Department of Natural Resources, Forest Resources Division

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Spatial Reference: 2927  (2927)  LatestVCSWkid(0)

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Document Info:

Title: WADNR_PUBLIC_RS_FRIS_Polys
Author:
Comments: RS-FRIS is a remote-sensing based forest inventory for WA DNR State Trust lands. RS-FRIS predicts forest conditions using statistical models that relate field measurements to three-dimensional remotely-sensed data (DAP and LiDAR point clouds). Forest metrics are predicted at a scale of 1/10th acre and stored as rasters. The attributes of each RIU are calculated as the mean of the raster cell values that fall within each polygon. Note: origin year and age are exceptions, and are based on the median value.RS-FRIS 5.2 was constructed using remote-sensing data collected in 2021 and 2022. Version 5.2 incorporates depletions for selected completed harvest types through 2024-12-31.
Subject: This feature class is composed of Resource Inventory Units (RIUs) with attributes populated with remote-sensing predictions. The purpose of this feature class is to link remote-sensing predictions to current RIUs.
Category:
Keywords: forest inventory,remote sensing,RS-FRIS
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