wo_nfs_gtac/Conus_BuildingExposure_by

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Service Description:

Recent fire seasons in the continental United States have motivated federal agencies to explore scenarios for augmenting current fuel management and forest restoration in areas where fires ignite and spread to buildings in adjacent communities. This data publication contains one (1) geodatabase raster representing a spatial assessment within the continental U.S. of areas at high risk of igniting fires that spread to and expose buildings as a smoothed raster of sources of annual building exposure from wildfire. This raster was created by intersecting simulated wildfire perimeters with building location data over 10,000 to 100,000 fire seasons. These data can be used in scenario planning to helps design fuel treatment program that target wildfire exposure to developed areas. The continental scale of the data support expanded use of scenario planning science to analyze and communicate large scale expansion of current forest and fuel management initiatives.

Name: wo_nfs_gtac/Conus_BuildingExposure_by_90mPixel

Description:

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 90.0

Pixel Size Y: 90.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" }]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Authors: Ken J. Bunzel, Kingbird Software Alan A. Ager, USDA Forest Service, Rocky Mountain Research Station Michelle A. Day, USDA Forest Service, Rocky Mountain Research Station Cody R. Evers, Portland State University Chris D. Ringo, Oregon State University, Funding for this project was provided by the US Forest Service, Rocky Mountain Research Station. US Forest Service State & Private Forestry. Additional acknowledgments are extended to Portland State University, Oregon State University, USDA Forest Service International Visitor Program, and Kingbird Software.

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 0.015469683334231377

Mean Values: 3.1915718360205226E-5

Standard Deviation Values: 1.9805776349555938E-4

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos:

Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources: Info Histograms Statistics Key Properties Legend Raster Function Infos

Supported Operations: Export Image Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Compute Angles Validate Project

wo_nfs_gtac/Conus_BuildingExposure_by_90mPixel (ImageServer)