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Service Description: The LANDFIRE Biophysical Settings (BpS) raster datasets (LF16_BPS_200) were combined with the Monitoring Trends in Burn Severity (MTBS) data (1984-2021) and composite burn index (CBI, for 2022 only) to identify areas that have experienced unnaturally severe wildfires in the recent past (1984-2022). The LowSev attribute represents areas mapped with a dominate condition of low severity fire but had a moderate or high severity fire pixel in that location. The ModSev attribute represents areas mapped with a dominant condition of mixed-severity MTBS (or CBI in 2022) fire and had a high severity MTBS (or CBI in 2022) fire pixel in that location. The CBI data serves as a bridge until MTBS data are available.
Map Name: TCA_Uncharecteristic_Fire_Severity_Low
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Description: The LANDFIRE Biophysical Settings (BpS) raster datasets (LF16_BPS_200) were combined with the Monitoring Trends in Burn Severity (MTBS) data (1984-2019) to identify areas that have experienced unnaturally severe wildfires in the recent past (1984-2019). The LowSev attribute represents areas mapped with a dominate condition of low severity fire but had a moderate or high severity MTBS fire pixel in that location. The ModSev attribute represents areas mapped with a dominant condition of mixed-severity fire and had a high severity MTBS fire pixel in that location.
Copyright Text: 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.
Spatial Reference:
102039
(102039)
Single Fused Map Cache: false
Initial Extent:
XMin: -2581144.5000000005
YMin: -795431.7014218022
XMax: 2473234.4999999995
YMax: 4282901.7014218
Spatial Reference: 102039
(102039)
Full Extent:
XMin: -2362440.000000001
YMin: 258929.99999999627
XMax: 2263830.0000000005
YMax: 3177450.000000002
Spatial Reference: 102039
(102039)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: TCA_ProProject.aprx
Author:
Comments: The LANDFIRE Biophysical Settings (BpS) raster datasets (LF16_BPS_200) were combined with the Monitoring Trends in Burn Severity (MTBS) data (1984-2019) to identify areas that have experienced unnaturally severe wildfires in the recent past (1984-2019). The LowSev attribute represents areas mapped with a dominate condition of low severity fire but had a moderate or high severity MTBS fire pixel in that location. The ModSev attribute represents areas mapped with a dominant condition of mixed-severity fire and had a high severity MTBS fire pixel in that location.
Subject: The LANDFIRE Percent Low Severity Fire (PLS) raster dataset (LF US_120_PLS) was combined with the Monitoring Trends in Burn Severity (MTBS) data (1984-2017) to identify areas that have experienced unnaturally severe wildfires in the recent past (1984-2017). Areas mapped are greater than 50% Low Severity Fire and a moderate or high severity fire MTBS mapped fire at the same location.
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Keywords: USFS,TCA,GTAC
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
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
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