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ArcGIS Enterprise Map Viewer
ArcGIS Earth
Service Description: Direct Download (Raster Data Gateway)
Objective: Identify areas with unhealthy forest conditions as evidenced by a combination of stand and environmental characteristics making them uncharacteristically vulnerable to insect and pathogen outbreaks.
Data: The 2018 National Insect and Disease Risk Map (NIDRM) developed by USFS-FHAAST indicates locations where forests are stressed and susceptible to outbreaks of native and non-native insects and diseases. These include forests with overly high stand densities and where soil/site conditions contribute to drought. The basis for assigning risk is the expectation that 25% or more of live basal area (three times the natural background rate of mortality) will die over the next 15 years due to insects and diseases. Because the NIDRM 2018 map is the most recent update, it has been reused each year for TCA Assessments from 2020-present.
Format: Raster data are binary: (1) at risk or (0) not at risk
Resolution: 240m
Source: NIDRM 2018
Additional Resources:
Details on Method Changes and Source Data Versions
Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation
Explore the results of the most recent assessment: TCA Interactive Data Viewer
Learn more about the TCA KPI: TCA Dashboard
*if you have trouble viewing the Dashboard, please submit a Tableau Viewer Access Request
Name: Ecosystems/USFS_EDW_TCA_AK_InsectAndDiseaseHazard
Description:
Single Fused Map Cache: false
Extent:
XMin: -2.00244218703E7
YMin: 6378502.547700003
XMax: -1.3479381870299999E7
YMax: 1.1691622547700003E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -2.00244218703E7
YMin: 6378502.547700003
XMax: -1.3479381870299999E7
YMax: 1.1691622547700003E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -2.00244218703E7
YMin: 6378502.547700003
XMax: -1.3479381870299999E7
YMax: 1.1691622547700003E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Pixel Size X: 240.0
Pixel Size Y: 240.0
Band Count: 1
Pixel Type: U4
RasterFunction Infos: {"rasterFunctionInfos": [
{
"help": "",
"name": "Insect and Disease Risk",
"description": "Ind 08 - Insect and Disease Risk"
},
{
"help": "",
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset."
}
]}
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: NIDRM 2018 [https://www.fs.usda.gov/science-technology/data-tools-products/fhp-mapping-reporting/national-insect-disease-risk-and-hazard-mapping]; USDA - GEO; USDA - USFS – GO
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 1
Max Values: 1
Mean Values: 1
Standard Deviation Values: 0
Object ID Field: objectid
Fields:
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name
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year
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length: 8
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st_area(shape)
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alias: st_area(shape)
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st_perimeter(shape)
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Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: N/A
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Nearest
Max Record Count: 1000
Max Image Height: 100000
Max Image Width: 100000
Max Download Image Count: 20
Max Mosaic Image Count: 20
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: true
Supports Advanced Queries: true
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: N/A
Ownership Based AccessControl For Rasters: N/A
Child Resources:
Info
Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query GPS Info
Find Images
Image to Map
Map to Image
Measure from Image
Image to Map Multiray
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project