{ "currentVersion": 11.3, "cimVersion": "3.3.0", "serviceDescription": "This layer provides information on where there is potentially timber volume available for harvest. All areas designated wilderness have volumes set to 0.Timber economics is defined by merchantable cubic-foot volume (MCFV) derived from averaging estimates of the Forest Inventory Analysis (FIA) data for all plots that have the same Dom Mid 40, Tree Size Class, and Canopy Cover Class. These averages are joined to VMap polygons by common VMap characteristics in DOM40, Treecanopy, and Treesize (STATLINK).After the FIA summary database is joined to VMapby the STATLINK attribute, the data is converted to a raster layer. Next, the Focal Sum Rescale Raster 0-100 tool was used to sum values within a 1-mile focal window. Then the tool rescaled the data to 0 to 100.*Update - This layer was created by merging together the Economic layers from each Pod (Northern Idaho, Western Montana, and East) to create one Regional Economic Layer. ", "mapName": "R1_OYP_FAI_Timber_Abundance_2020", "description": "This layer identifies areas at risk of fire to communities and infrastructure. Several data layers are used to define these areas. First, Fire Risk Extent is created to identify the areas that are near communities and valuable infrastructure. The Fire Risk Extent is defined by the following layers: WUI, NoRRA Fire Risk Infrastructure, Municipal Watersheds, and corporate timber lands. Wildland fire hazard potential and population density provides the values within the fire risk extent.The Wildfire Hazard Potential and Where People Live Population Density layers are integrated using map algebra sum function. A focal sum was run to rescale the data from 0 to 100 to create the final Fire Risk FAI.*Update - This layer was created by merging together the Fire Risk layers from each Pod (Northern Idaho, Western Montana, and East) to create one Regional Fire Risk Layer.", "copyrightText": "The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.", "supportsDynamicLayers": true, "layers": [ { "id": 0, "name": "Abundance of Timber Economics Class ", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 10000000, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true } ], "tables": [], "spatialReference": { "wkt2": "PROJCRS[\"NAD_1983_Albers\",BASEGEOGCRS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",ELLIPSOID[\"GRS_1980\",6378137.0,298.257222101,LENGTHUNIT[\"Meter\",1.0]]],PRIMEM[\"Greenwich\",0.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],CS[ellipsoidal,2],ANGLEUNIT[\"Degree\",0.0174532925199433]],CONVERSION[\"Albers\",METHOD[\"Albers\"],PARAMETER[\"False_Easting\",600000.0,LENGTHUNIT[\"Meter\",1.0]],PARAMETER[\"False_Northing\",0.0,LENGTHUNIT[\"Meter\",1.0]],PARAMETER[\"central_meridian\",-109.5,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"Standard_Parallel_1\",46.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"Standard_Parallel_2\",48.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"latitude_of_origin\",44.0,ANGLEUNIT[\"Degree\",0.0174532925199433]]],CS[Cartesian,2],AXIS[\"Easting (X)\",east,ORDER[1]],AXIS[\"Northing (Y)\",north,ORDER[2]],LENGTHUNIT[\"Meter\",1.0]]", "wkt": "PROJCS[\"NAD_1983_Albers\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Albers\"],PARAMETER[\"False_Easting\",600000.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"central_meridian\",-109.5],PARAMETER[\"Standard_Parallel_1\",46.0],PARAMETER[\"Standard_Parallel_2\",48.0],PARAMETER[\"latitude_of_origin\",44.0],UNIT[\"Meter\",1.0]]", "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -14484600, "falseY": -8792900, "xyUnits": 2.985561186488535E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "singleFusedMapCache": false, "initialExtent": { "xmin": -31258.5, "ymin": -223994.26064618654, "xmax": 1174858.5, "ymax": 1162202.7081038135, "spatialReference": { "wkt2": "PROJCRS[\"NAD_1983_Albers\",BASEGEOGCRS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",ELLIPSOID[\"GRS_1980\",6378137.0,298.257222101,LENGTHUNIT[\"Meter\",1.0]]],PRIMEM[\"Greenwich\",0.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],CS[ellipsoidal,2],ANGLEUNIT[\"Degree\",0.0174532925199433]],CONVERSION[\"Albers\",METHOD[\"Albers\"],PARAMETER[\"False_Easting\",600000.0,LENGTHUNIT[\"Meter\",1.0]],PARAMETER[\"False_Northing\",0.0,LENGTHUNIT[\"Meter\",1.0]],PARAMETER[\"central_meridian\",-109.5,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"Standard_Parallel_1\",46.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"Standard_Parallel_2\",48.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"latitude_of_origin\",44.0,ANGLEUNIT[\"Degree\",0.0174532925199433]]],CS[Cartesian,2],AXIS[\"Easting (X)\",east,ORDER[1]],AXIS[\"Northing (Y)\",north,ORDER[2]],LENGTHUNIT[\"Meter\",1.0]]", "wkt": "PROJCS[\"NAD_1983_Albers\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Albers\"],PARAMETER[\"False_Easting\",600000.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"central_meridian\",-109.5],PARAMETER[\"Standard_Parallel_1\",46.0],PARAMETER[\"Standard_Parallel_2\",48.0],PARAMETER[\"latitude_of_origin\",44.0],UNIT[\"Meter\",1.0]]", "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -14484600, "falseY": -8792900, "xyUnits": 2.985561186488535E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 } }, "fullExtent": { "xmin": -31258.49999999989, "ymin": 108291.25677966097, "xmax": 1174858.5, "ymax": 829917.190677966, "spatialReference": { "wkt2": "PROJCRS[\"NAD_1983_Albers\",BASEGEOGCRS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",ELLIPSOID[\"GRS_1980\",6378137.0,298.257222101,LENGTHUNIT[\"Meter\",1.0]]],PRIMEM[\"Greenwich\",0.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],CS[ellipsoidal,2],ANGLEUNIT[\"Degree\",0.0174532925199433]],CONVERSION[\"Albers\",METHOD[\"Albers\"],PARAMETER[\"False_Easting\",600000.0,LENGTHUNIT[\"Meter\",1.0]],PARAMETER[\"False_Northing\",0.0,LENGTHUNIT[\"Meter\",1.0]],PARAMETER[\"central_meridian\",-109.5,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"Standard_Parallel_1\",46.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"Standard_Parallel_2\",48.0,ANGLEUNIT[\"Degree\",0.0174532925199433]],PARAMETER[\"latitude_of_origin\",44.0,ANGLEUNIT[\"Degree\",0.0174532925199433]]],CS[Cartesian,2],AXIS[\"Easting (X)\",east,ORDER[1]],AXIS[\"Northing (Y)\",north,ORDER[2]],LENGTHUNIT[\"Meter\",1.0]]", "wkt": "PROJCS[\"NAD_1983_Albers\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Albers\"],PARAMETER[\"False_Easting\",600000.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"central_meridian\",-109.5],PARAMETER[\"Standard_Parallel_1\",46.0],PARAMETER[\"Standard_Parallel_2\",48.0],PARAMETER[\"latitude_of_origin\",44.0],UNIT[\"Meter\",1.0]]", "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -14484600, "falseY": -8792900, "xyUnits": 2.985561186488535E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 } }, "datesInUnknownTimezone": false, "minScale": 10000000, "maxScale": 0, "units": "esriMeters", "supportedImageFormatTypes": "PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP", "documentInfo": { "Title": "Untitled.aprx", "Author": "", "Comments": "This layer identifies areas at risk of fire to communities and infrastructure. Several data layers are used to define these areas. First, Fire Risk Extent is created to identify the areas that are near communities and valuable infrastructure. The Fire Risk Extent is defined by the following layers: WUI, NoRRA Fire Risk Infrastructure, Municipal Watersheds, and corporate timber lands. Wildland fire hazard potential and population density provides the values within the fire risk extent.The Wildfire Hazard Potential and Where People Live Population Density layers are integrated using map algebra sum function. A focal sum was run to rescale the data from 0 to 100 to create the final Fire Risk FAI.*Update - This layer was created by merging together the Fire Risk layers from each Pod (Northern Idaho, Western Montana, and East) to create one Regional Fire Risk Layer.", "Subject": "Abundance of Fire Risk Class Mosaic", "Category": "", "Version": "3.1.0", "AntialiasingMode": "Fast", "TextAntialiasingMode": "Force", "Keywords": "R01,OYP" }, "supportsQueryDomains": true, "capabilities": "Query,Map,Data", "supportedQueryFormats": "JSON, geoJSON, PBF", "exportTilesAllowed": false, "referenceScale": 0.0, "supportsDatumTransformation": true, "archivingInfo": {"supportsHistoricMoment": false}, "supportsClipping": true, "supportsSpatialFilter": true, "supportsTimeRelation": true, "supportsQueryDataElements": true, "mapUnits": {"uwkid": 9001}, "maxRecordCount": 2000, "maxImageHeight": 4096, "maxImageWidth": 4096, "supportedExtensions": "" }