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LibraryData/library_soc_or_structure_density_2023 (MapServer)

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Service Description:

This dataset is a 30-meter raster representation of the People and Property HVRA used in development of the 2023 PNW Quantitative Wildfire Risk Assessment. The People and Property HVRA is meant to assess wildfire risk to residential and non-residential infrastructure. People and Property was mapped using a combination of structure point location datasets which were then converted to a kernel density.

The 'Raster_Name' indicates which sub-HVRA the pixel is classified as based on structure density. The 'Class' attribute defines the density criteria for each sub-HVRA.

Please reference the QWRA project report for more detailed information on data sources and methods: https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdf

Data released on 09/26/2023.



Map Name: People_and_Property

Legend

All Layers and Tables

Layers: Description: This dataset is a 30-meter raster representation of the People and Property HVRA used in development of the 2023 PNW Quantitative Wildfire Risk Assessment. The People and Property HVRA is meant to assess wildfire risk to residential and non-residential infrastructure. People and Property was mapped using a combination of structure point location datasets which were then converted to a kernel density. The 'Raster_Name' indicates which sub-HVRA the pixel is classified as based on structure density. The 'Class' attribute defines the density criteria for each sub-HVRA. Please reference the QWRA project report for more detailed information on data sources and methods: https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdfData released on 09/26/2023.

Service Item Id: e42b25d415954a14b9709c6f295ff83a

Copyright Text: Primary data contact: Andy McEvoy, Oregon State University College of Forestry (andy.mcevoy@oregonstate.edu)

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: false

Resampling: false

MaxRecordCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates