{ "currentVersion": 11.1, "cimVersion": "3.1.0", "serviceDescription": "The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in Alaska. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available or fires were not discernable from available imagery.The data generated by MTBS will be used to identify national trends in burn severity, providing information necessary to monitor the effectiveness of the National Fire Plan and Healthy Forests Restoration Act. MTBS is sponsored by the Wildland Fire Leadership Council (WFLC), a multi-agency oversight group responsible for implementing and coordinating the National Fire Plan and Federal Wildland Fire Management Policies. The MTBS project objective is to provide consistent, 30 meter spatial resolution burn severity data and burned area delineations that will serve four primary user groups including: 1. National policies and policy makers such as the National Fire Plan and WFLC which require information about long-term trends in burn severity and recent burn severity impacts within vegetation types, fuel models, condition classes, and land management activities. 2. Field management units that benefit from mid to broad scale GIS-ready maps and data for pre- and post-fire assessment and monitoring. Field units that require finer scale burn severity data will also benefit from increased efficiency, reduced costs, and data consistency by starting with MTBS data. 3. Existing databases from other comparably scaled programs, such as Fire Regime and Condition Class (FRCC) within LANDFIRE, that will benefit from MTBS data for validation and updating of geospatial data sets. 4. Academic and government agency research entities interested in fire severity data over significant geographic and temporal extents.This dataset contains thresholded burn severity data available for the specified state or geographic region at time of publication. The dataset may be updated as burn severity data for additional MTBS fires are completed, or otherwise revised as necessary. See https://www.mtbs.gov/ for project information and data access. Refer to https://www.mtbs.gov/contact for additional support.", "mapName": "MTBS_Alaska", "description": "Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.", "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": "2021 AK Burn Severity", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 50000000, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 1, "name": "2020 AK Burn Severity", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 50000000, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 2, "name": "2019 AK Burn Severity", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 50000000, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 3, "name": "2018 AK Burn Severity", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 50000000, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 4, 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