Jon Dewitz 20260127 LF 2024 raster digital data Sioux Falls, SD Earth Resources Observation and Science Center (EROS), U.S. Geological Survey https://doi.org/10.5066/P1XVKXRL https://www.landfire.gov Jennifer L. Long Timothy D. Hatten 2023 publication n/a US Geological Survey LANDFIRE Fact Sheet https://doi.org/10.3133/fs20233044 LANDFIRE’s (LF) 2024 Vegetation Condition Class (VCC) is a reclassification and categorization of the LF 2024 Vegetation Departure (VDep) product. VCC indicates the general level to which current vegetation is different from the simulated historical reference condition. Therefore, VCC is a derivative of VDep; the VDep product indicates how different current vegetation is compared to the estimated historical reference condition, and is based on change to species composition, structure, and canopy closure. Condition classes for VCC are defined in two ways; the original 3 category system from Fire Regime Condition Class Guidebook (FRCC Guidebook), and a newer 6 category system that provides additional thematic detail. For the original 3-category system, the VDep value is reclassified as: Condition Class I: VDep value from 0 to 33 (Low Departure), Class II: VDep value between 34 - 66 (Moderate Departure), and Condition Class III: VDep value from 67 to 100 (High Departure). The 6-category system provides more detail and is collapsible to the 3-category system. The 6 VCC categories are defined as: Condition Class I.A: VDep between 0 and 16 (Very Low Departure), Condition Class I.B: VDep between 17 and 33 (Low to Moderate Departure); Condition Class II.A: VDep between 34 and 50 (Moderate to Low Departure); Condition Class II.B: VDep between 51 and 66 (Moderate to High Departure); Condition Class III.A: VDep between 67 and 83 (High to Moderate Departure), and Condition Class III.B: VDep between 84 and 100 (High Departure). The LANDFIRE 2024 Update (LF 2024, version 2.5.0) is the fourth update to LANDFIRE’s new base map LF 2016 Remap (version 2.0.0) and will be releasing throughout calendar year 2025. LF 2024 products are designed to facilitate national and regional level strategic fire and resource management planning and reporting of management activities. The principal purposes of the products include providing: 1) national level landscape scale geospatial products to support fire and fuels management planning and 2) consistent fuels products to support fire planning, analysis, and budgeting to evaluate fire management alternatives. Products are created at a 30meter raster; however, the applicability of products varies by location and specific use. LF products were designed to support 1) national (all states) strategic planning, 2) regional (single large states or groups of smaller states), and 3) strategic/tactical planning for large sub regional landscapes and Fire Management Units (FMUs) (such as significant portions of states or multiple federal administrative entities). The applicability of LF products to support fire and land management planning on smaller areas will vary by product, location, and specific use. Managers and planners must evaluate LF products according to the scale and requirements specific to their needs. Ongoing since LF 2016 Remap AK products have included a 90km buffer area into Canada. 2024 ground condition Complete Annually -179.3173 -122.0000 71.5478 48.8767 ISO 19115 Topic Category imageryBaseMapsEarthCover biota USGS Thesaurus fires hazard preparedness remote sensing image collections geospatial datasets geographic information systems None raster digital data Vegetation Condition Class VCC U.S. Geological Survey (USGS) U.S. Forest Service (USFS) LANDFIRE 2024 LF 2024 USGS Metadata Identifier USGS:69714929d4be023817e3382f Common geographic areas US AK United States Alaska OCONUS None None LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey Customer Service Representative physical

47914 252nd Street

Sioux Falls SD 57198 U.S. 605-594-6151 helpdesk@landfire.gov These products were created by the LF team at USGS EROS, Sioux Falls, SD. Refer to the contact information throughout this metadata to contact the LF team. None in place Unclassified If there is ever doubt, contact the LF Help Desk at helpdesk@landfire.gov Microsoft Windows 10; ESRI ArcGIS Suite Wendel Hann Doug Havlina Ayn Shlisky The Nature Conservancy (TNC) US Forest Service (USFS) US Geological Survey (USGS) National Interagency Fuels, Fire, and Vegetation Technology Transfer (NIFTT) 2010 3 publication Hann, Wendel J.; Shlisky, Ayn; Havlina, Doug; Schon, Kathy; Barrett, Stephen W.; DeMeo, Thomas E.; Pohl, Kelly; Menakis, James P.; Hamilton, D.; Jones, J.; Levesque, Marc; Frame, Christine K. 2008. Interagency Fire Regime Condition Class (FRCC) guidebook. Version 1.3.0. 119 p. [Homepage of the Interagency and The Nature Conservancy Fire Regime Condition Class website, USDA Forest Service, U.S. Department of the Interior, The Nature Conservancy, and Systems for Environmental Management https://www.frames.gov/catalog/7793 Products were tested to ensure that each attribute is represented consistently across all data sets. Attributes were not validated against in person observations. The products were pixel "truth" tested for consistency of land or water characteristics across all products. Products were formally tested to ensure that valid data was produced for all pixels. Each product was then validated and tested for duplicates, omissions, and errors. US Forest Service (USFS) US Natural Resource Manager's (USNRM) 2009 remote-sensing image https://data.fs.usda.gov/geodata/edw/datasets.php https://data.fs.usda.gov/nrm/briefingpapers/FACTS.pdf Digital and/or Hardcopy 2009 2023 observed FACTS Landscape change in forested areas US Forest Service (USFS) US Department of the Interior (USDOI) 2000 application/service https://www.nfpors.gov/ https://www.forestsandrangelands.gov/resources/overview/ Digital and/or Hardcopy 2000 2023 observed NFPORS National Fire Plan US Bureau of Land Management (USBLM) National Park Service (USNPS) US Forest Service (USFS) US Fish and Wildlife Service (USFWS) Fire Administration and the National Association of State Foresters US Bureau of Indian Affairs (USBIA) 1965 application/service https://www.nifc.gov/ https://www.nifc.gov/fire-information/maps Digital and/or Hardcopy 1965 2023 observed NIFC Wildfire maps US Forest Service (USFS) 2012 raster digital data https://www.fs.usda.gov/science-technology/data-tools-products/fhp-mapping-reporting/national-insect-disease-risk-and-hazard-mapping Digital and/or Hardcopy 2012 2023 observed NIDRM NIDRM Insect and Disease Detection Survey US Forest Service (USFS) 1928 application/service Check https://www.landfire.gov/reference for more information. https://research.fs.usda.gov/programs/fia Digital and/or Hardcopy Unknown observed FIA Read more about each version of LANDFIRE and its inputs at https://landfire.gov/ US Geological Survey (USGS) 1982 raster digital data Fact Sheet 2022-3084 Reston, VA USGS https://doi.org/10.3133/fs20223084 https://www.usgs.gov/landsat-missions/landsat-collection-2-level-3-dynamic-surface-water-extent-science-product https://www.usgs.gov/landsat-missions Digital and/or Hardcopy Unknown ground condition DSWE The Landsat Collection 2 (C2) Level-3 Dynamic Surface Water Extent (DSWE) product provides raster layers that represent surface water inundation per-pixel in Landsat data. US Geological Survey (USGS) 1996 raster digital data https://pubs.usgs.gov/publication/fs20253001 https://www.mrlc.gov/data https://www.mrlc.gov/viewer/ https://www.sciencebase.gov/catalog/item/655ceb8ad34ee4b6e05cc51a Digital and/or Hardcopy 2021 ground condition NLCD LANDFIRE always utilizes the latest products from NLCD, read more about each version of LANDFIRE and its inputs at https://landfire.gov/ US Department of Agriculture (USDA) 1961 application/service https://www.nass.usda.gov/ Digital and/or Hardcopy Unknown ground condition NASS CDL Read more about each version of LANDFIRE and its inputs at https://landfire.gov/ US Geological Survey (USGS) 2005 raster digital data https://www.mtbs.gov/ https://www.sciencebase.gov/catalog/item/6331e928d34e900e86c52b9e https://burnseverity.cr.usgs.gov/ Digital and/or Hardcopy 1984 2023 ground condition MTBS MTBS is an interagency program whose goal is to consistently map the burn severity and extent of large fires across all lands of the United States from 1984 to present. US Geological Survey (USGS) US Forest Service (USFS) 2001 application/service https://burnseverity.cr.usgs.gov/baer/ Digital and/or Hardcopy 2001 2023 ground condition BAER BARC BARC is a satellite-derived data layer of post-fire vegetation condition. The BARC has four classes, representing burn severity: high, moderate, low, and unburned. This product is used as an input to the soil burn severity map produced by the BAER teams. US Geological Survey (USGS) Gap Analysis Project (GAP) 2022 application/service https://doi.org/10.5066/P9Q9LQ4B Digital and/or Hardcopy 2022 ground condition PAD The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas. Microsoft Maps 2020 application/service https://github.com/Microsoft/USBuildingFootprints Digital and/or Hardcopy 2020 ground condition Building Footprint Microsoft Maps released country wide open building footprints datasets in the United States. This dataset contained 129,591,852 computer generated building footprints. US Geological Survey (USGS) 1984 raster digital data https://www.usgs.gov/landsat-missions/landsat-collection-2-level-3-burned-area-science-product https://doi.org/10.1016/j.rse.2020.111801 Digital and/or Hardcopy 1984 2023 ground condition BA The Landsat Collection 2 (C2) Level-3 Burned Area (BA) science product is designed to identify burned areas across all ecosystems (e.g., forests, shrublands, and grasslands) for Landsat 4-9 data, containing two acquisition-based raster layers that represent burn classification and burn probability. US Geological Survey (USGS) US Forest Service (USFS) 2007 remote-sensing image https://burnseverity.cr.usgs.gov/ravg/ Digital and/or Hardcopy Unknown ground condition RAVG The RAVG program provides assessments of vegetation conditions (burn severity) following large wildland fires on forested National Forest System (NFS) lands. Read more about each version of LANDFIRE and its inputs at https://landfire.gov/ US Department of the Interior (USDOI) 2024 application/service https://inform-fuels-nifc.hub.arcgis.com/ Digital and/or Hardcopy Unknown observed IFPRS Read more about each version of LANDFIRE and its inputs at https://landfire.gov/ US Department of Agriculture (USDA) US Forest Service (USFS) 2020 application/service https://wildfirerisk.org/download/ Digital and/or Hardcopy 2020 observed WRC Read more about each version of LANDFIRE and its inputs at https://landfire.gov/ Beginning with the new base map of LANDFIRE 2016 Remap (LF Remap), LF products were created using recent advances in image compositing, tiling algorithms, and faster computing hardware to ensure that LF products remained relevant. LF Remap leveraged the Landsat archive, lidar data, and user contributed field plot data compiled into the LF Reference Database (LFRDB), to create new vegetation products. Reference resources utilized in LF Remap and all updates since includes but is not limited to: Forest Inventory and Analysis (FIA) program plot data, Landsat Dynamic Surface Water Extent (DSWE), the National Land Cover Database (NLCD), and National Agricultural Statistics Service (NASS). FIA DSWE NLCD NASS CDL 20251215 For LF 2024 reference resources include but are not limited to: Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC) and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), PAD 4.0 was used to remove agriculture on non-irrigated federal and state protected lands, and a rasterized version of the Microsoft building footprint and WRC for 2020 to update developed areas. Two main submitted sources were also used: the US Bureau of Land Management (BLM) and National Park Service (NPS). MTBS BAER BARC RAVG PAD Building Footprint WRC 20251215 Disturbances in LF 2024 were also identified with LF's Remote Sensing of Landscape Change (RSLC), which identifies spectral change in vegetation using automated algorithms and image analyst review of the entire country with Landsat imagery. Burned Area (BA) data from Landsat was also used and national events (polygons) were used to identify areas and types of disturbance. BA 20251215 To read more about LF reference resources go to https://landfire.gov/reference. Information about LF product testing is available by request or via the website at https://www.landfire.gov. 20251215 Raster Grid Cell 65974 125270 1 Alaska Albers Conical Equal Area 55.0 65.0 -154.0 50.0 0.0 0.0 row and column 30.0 30.0 meters North_American_Datum_1983 GRS 1980 6378137.0 298.2572221010042 VCC LF 2024 VCC attributes spreadsheet. LF 2024 VALUE VCC value categorizing the departure between current vegetation condition and reference vegetation. 1 to 6 Vegetation Condition Class. LF 2024 -9999 NoData LF 2024 -1111 180 CLASS VCC has six condition classes. LF 2024 Fill-NoData Fill NoData LF 2024 Vegetation Condition Class I.A Very low, vegetation departure 0 to 16 percent LF 2024 Vegetation Condition Class I.B Low, vegetation departure 17 to 33 percent LF 2024 Vegetation Condition Class II.A Moderate to low, vegetation departure 34 to 50 percent LF 2024 Vegetation Condition Class II.B Moderate to high, vegetation departure 51 to 66 percent LF 2024 Vegetation Condition Class III.A High, vegetation departure 67 to 83 percent LF 2024 Vegetation Condition Class III.B Very high, vegetation departure 84 to 100 percent LF 2024 Water Water LF 2024 Snow/Ice Snow/Ice LF 2024 Developed Developed LF 2024 Barren or Sparse Barren or sparse LF 2024 Agriculture Agriculture LF 2024 Fill-Not Mapped Fill not mapped LF 2024 DESCRIPTION VCC descriptions. LF 2024 See the ADD for additional information. R Red color value/255 LF 2024 0 255 G Green color value/255 LF 2024 0 255 B Blue color value/255 LF 2024 0 255 RED Red color value. LF 2024 0.0 1.0 GREEN Green color value. LF 2024 0.0 1.0 BLUE Blue color value. LF 2024 0.0 1.0 LANDFIRE (LF) 2024 Vegetation Condition Class (VCC) AK. An Attribute Table is included with each product download as a .csv and embedded in the metadata. The Attribute Data Dictionary (ADD) can be found at https://www.landfire.gov/. https://landfire.gov/vegetation/vcc U.S. Geological Survey GS ScienceBase mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov This product is reproduced from geospatial information prepared by the U.S. Department of the Interior (DOI) USGS EROS. By removing the contents of this package or taking receipt of these files via electronic file transfer methods, you understand that the data stored on this media can be updated at any time. Represented features may not be in an accurate geographic location. USGS EROS makes no expressed or implied warranty, including warranty of merchantability and fitness, with respect to the character, function, or capabilities of the data or their appropriateness for any user's purposes. USGS EROS reserves the right to correct, update, modify, or replace this geospatial information without notification. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. ARCG 20251215 LF 2024 https://doi.org/10.5066/P1XVKXRL none 20260318 LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey Customer Service Representative physical

47914 252nd Street

Sioux Falls SD 57198 U.S. 605-594-6151 helpdesk@landfire.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time None Unclassified None