<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>Landscape Fire and Resource Management Planning Tools (LANDFIRE) </origin>
        <origin>Earth Resources Observation and Science Center (EROS)</origin>
        <origin>U.S. Geological Survey (USGS)</origin>
        <origin>Timothy Hatten, USGS PM</origin>
        <pubdate>20230501</pubdate>
        <title>LANDFIRE 2022 Anderson Fire Behavior Fuel Model (FBFM13) CONUS </title>
        <edition>LF 2022</edition>
        <geoform>raster digital data</geoform>
        <pubinfo>
          <pubplace>Sioux Falls, SD</pubplace>
          <publish>Earth Resources Observation and Science Center (EROS), U.S. Geological Survey</publish>
        </pubinfo>
        <onlink>https://www.landfire.gov</onlink>
        <onlink>https://doi.org/10.5066/P974JF8W</onlink>
      </citeinfo>
    </citation>
    <descript>
      <abstract>LANDFIRE's (LF) 2022 13 Anderson Fire Behavior Fuel Models (FBFM13) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Anderson 1982). The fuel models are described by the most common fire carrying fuel type (grass, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. LF FBFM13 can be used for fire spread related characteristic models. To create this product, expert rulesets were developed to understand how different types of disturbance would change pre-disturbance fuel models to post disturbance fuels, based on the severity and time since disturbance. These rulesets are represented in the LF Total Fuel Change Tool and Database. In the LF 2022 update, non-disturbed fuels are the same as LF 2016 Remap for natural vegetation. 

To designate disturbed areas where FBFM13 is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The "capable" year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php </abstract>
      <purpose>The LANDFIRE 2022 Update (LF 2022) is designed to produce vegetation, disturbance, and fuels products that inform wildland fire and ecological decision systems. LF 2022 is another update to the LF 2016 Remap base map and LF 2020, it includes adjustments to vegetation and fuels in disturbed areas for disturbances recorded in 2021 and 2022. Disturbances in 2022 represent the first full fiscal year of disturbance. Transition rulesets for vegetation account for disturbances from 2017 to 2022 while fuel updates utilize 2012 to 2022 disturbances. In LF 2022 Existing Vegetation Type (EVT) Ecological Systems classifications are the same as LF 2020, except in areas where agriculture or urban areas have changed. LF 2022 contains the first application of the "zero to one" Time Since Disturbance (TSD) rules for EVC and EVH transition rules. Both LF Existing Vegetation Cover (EVC) and Height (EVH), as well as all fuels products, are 2023 capable in disturbed areas. 

 LF 2022 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 30 meter 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. </purpose>
      <supplinf>Beginning in the LF 2020 update and continued into the LF 2022 update, all CONUS products are created with a 90km buffer into both Canada and Mexico. The data in this buffer was last updated in LF 2020. LF 2022 AK products also feature a 90km buffer into Canada, but this buffer was last updated with new data in LF 2016 Remap. The following LF 2022 products have 2023 capability functionality: EVH, EVC, CBD, CBH, CC, CH, F13, F40, FVC, FVH, FVT, CFFDRS and FDist.</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <sngdate>
          <caldate>2022</caldate>
        </sngdate>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>Annually </update>
    </status>
    <spdom>
      <bounding>
        <westbc>-72.6555</westbc>
        <eastbc>-72.4909</eastbc>
        <northbc>44.4821</northbc>
        <southbc>44.3413</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>imageryBaseMapsEarthCover</themekey>
        <themekey>biota</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>fires</themekey>
        <themekey>hazard preparedness</themekey>
        <themekey>remote sensing</themekey>
        <themekey>image collections</themekey>
        <themekey>geospatial datasets</themekey>
        <themekey>geographic information systems</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>raster digital data </themekey>
        <themekey>Anderson Fire Behavior Fuel Model</themekey>
        <themekey>FBFM</themekey>
        <themekey>U.S. Geological Survey (USGS)</themekey>
        <themekey>U.S. Forest Service (USFS)</themekey>
        <themekey>LANDFIRE 2022</themekey>
        <themekey>Fire Behavior Fuel Model 13</themekey>
        <themekey>FBFM13</themekey>
        <themekey>LF 2022</themekey>
      </theme>
      <place>
        <placekt>Common geographic areas</placekt>
        <placekey>US</placekey>
        <placekey>CONUS</placekey>
        <placekey>United States</placekey>
        <placekey>Continental U.S.</placekey>
        <placekey>Conterminous United States</placekey>
      </place>
    </keywords>
    <accconst>None</accconst>
    <useconst>None </useconst>
    <ptcontac>
      <cntinfo>
        <cntorgp>
          <cntorg>LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey</cntorg>
        </cntorgp>
        <cntpos>Customer Service Representative</cntpos>
        <cntaddr>
          <addrtype>physical</addrtype>
          <address>47914 252nd Street</address>
          <city>Sioux Falls</city>
          <state>SD</state>
          <postal>57198</postal>
          <country>U.S.</country>
        </cntaddr>
        <cntvoice>605-594-6151</cntvoice>
        <cntemail>helpdesk@landfire.gov</cntemail>
      </cntinfo>
    </ptcontac>
    <datacred>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.</datacred>
    <secinfo>
<secsys>None in place</secsys>
<secclass>Unclassified</secclass>
<sechandl>If there is ever doubt, contact the LF Help Desk at helpdesk@landfire.gov</sechandl>
</secinfo>
    <native>Microsoft Windows 10; ESRI ArcCatalog 10.7.1</native>
    <crossref>
      <citeinfo>
        <origin>Intermountain Forest and Range Experiment Station</origin>
        <pubdate>1982</pubdate>
        <title>Aids to determining fuel models for estimating fire behavior</title>
        <geoform>publication</geoform>
        <pubinfo>
          <pubplace>USFS</pubplace>
          <publish>USDA</publish>
        </pubinfo>
        <othercit>Anderson 1982</othercit>
        <onlink>https://doi.org/10.2737/INT-GTR-122</onlink>
        <onlink>https://www.fs.usda.gov/treesearch/pubs/6447</onlink>
      </citeinfo>
    </crossref>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>Products were tested to ensure that each attribute is represented consistently across all data sets. Attributes were not validated against in person observations. </attraccr>
    </attracc>
    <logic>The products were pixel "truth" tested for consistency of land or water characteristics across all products. </logic>
    <complete>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.</complete>
    <lineage>
      <procstep>
        <procdesc>Beginning with the new base map of LF 2016 Remap (LF Remap), 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 included, but were not limited to, Forest Inventory and Analysis (FIA) program plot data (USFS https://fia.fs.fed.us/), Landsat Dynamic Surface Water Extent [(DSWE) USGS https://www.usgs.gov/landsat-missions], the National Land Cover Database [(NLCD) USGS https://www.mrlc.gov/data], and National Agricultural Statistics Service [(NASS) USDA - https://www.nass.usda.gov/].  

For LF 2022 reference resources included, but were not limited to, Monitoring Trends in Burn Severity [(MTBS) USGS https://mtbs.gov/], Burned Area Reflectance Classification [(BARC) USFS and USGS] and Rapid Assessment of Vegetation Condition after Wildfire [(RAVG) https://burnseverity.cr.usgs.gov/ravg/], National Agricultural Statistics Service [(NASS) USDA - https://www.nass.usda.gov/] for 2022, PAD 3.0 for federal and protected lands identification [https://doi.org/10.5066/P9Q9LQ4B], and a rasterized version of the Microsoft building footprint for 2022 to update developed areas [https://github.com/Microsoft/USBuildingFootprints]. Disturbances in LF 2022 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. 

To read more about LF reference resources go to https://www.landfire.gov/reference.php. Information about LF 2022 product testing is available by request or via the website at https://www.landfire.gov.
</procdesc>
        <procdate>20230501</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
    <rastinfo>
      <rasttype>Grid Cell</rasttype>
      <rowcount>20729</rowcount>
      <colcount>24853</colcount>
    </rastinfo>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <mapproj>
          <mapprojn>Albers Conical Equal Area</mapprojn>
          <albers>
            <stdparll>29.5</stdparll>
            <stdparll>45.5</stdparll>
            <longcm>-96.0</longcm>
            <latprjo>23.0</latprjo>
            <feast>0</feast>
            <fnorth>0</fnorth>
          </albers>
        </mapproj>
        <planci>
          <plance>row and column</plance>
          <coordrep>
            <absres>30</absres>
            <ordres>30</ordres>
          </coordrep>
          <plandu>meters</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>North American Datum of 1983 (NAD 83)</horizdn>
        <ellips>Geodetic Reference System 1980</ellips>
        <semiaxis>6378137.000000</semiaxis>
        <denflat>298.257222</denflat>
      </geodetic>
    </horizsys>
    <vertdef />
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>F13</enttypl>
        <enttypd>LF 2022 FBFM13 attributes spreadsheet.</enttypd>
        <enttypds>LF 2022</enttypds>
      </enttyp>
      <attr>
        <attrlabl>Value</attrlabl>
        <attrdef>13 typical surface fuel arrangements or collections of fuel properties. 1-13 FBFM.</attrdef>
        <attrdefs>LF 2022</attrdefs>
        <attrdomv>
          <edom>
            <edomv>-9999</edomv>
            <edomvd>No Data</edomvd>
            <edomvds>LF 2022</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <rdom>
            <rdommin>1</rdommin>
            <rdommax>99</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
  <attrlabl>FBFM13</attrlabl><attrdef>Display attribute.</attrdef><attrdefs>LF 2022</attrdefs><attrdomv>
    <edom>
      <edomv>FBFM1</edomv>
      <edomvd>Surface fires that burn fine herbaceous fuels, cured and curing fuels, little shrub or timber present, primarily grasslands and savanna.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM2</edomv>
      <edomvd>Burns fine, herbaceous fuels, stand is curing or dead, may produce fire brands on oak or pine stands.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM3</edomv>
      <edomvd>Most intense fire of grass group, spreads quickly with wind, one third of stand dead or cured, stands average 3ft tall.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM4</edomv>
      <edomvd>Fast spreading fire, continuous overstory, flammable foliage and dead woody material, deep litter layer can inhibit suppression.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM5</edomv>
      <edomvd>Low intensity fires, young, green shrubs with little dead material, fuels consist of litter from understory.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM6</edomv>
      <edomvd>Broad range of shrubs, fire requires moderate winds to maintain flame at shrub height, or will drop to the ground with low winds.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM7</edomv>
      <edomvd>Foliage highly flammable, allowing fire to reach shrub strata levels, shrubs generally 2 to 6ft high.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM8</edomv>
      <edomvd>Slow, ground burning fires, closed canopy stands with short needle conifers or hardwoods, litter consists mainly of needles and leaves, with little undergrowth, occasional flares with concentrated fuels.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM9</edomv>
      <edomvd>Longer flames, quicker surface fires, closed canopy stand of long-needles or hardwoods, rolling leaves in fall can cause spotting, dead-down material can cause occasional crowning.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM10</edomv>
      <edomvd>Surface and ground fire more intense, dead-down fuels more abundant, frequent crowning and spotting causing fire control to be more difficult.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM11</edomv>
      <edomvd>Fairly active fire, fuels consist of slash and herbaceous materials, slash originates from light partial cuts or thinning projects, fire is limited by spacing of fuel load and shade from overstory.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM12</edomv>
      <edomvd>Rapid spreading and high intensity fires, dominated by slash resulting from heavy thinning projects and clearcuts, slash is mostly 3 inches or less.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>FBFM13</edomv>
      <edomvd>Fire spreads quickly through smaller material and intensity builds slowly as large material ignites, continuous layer of slash larger than 3 inches in diameter predominates, resulting from clearcuts and heavy partial cuts, active flames sustained for long periods of time, fire is susceptible to spotting and weather conditions.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>Urban</edomv>
      <edomvd>Urban.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>Snow/Ice</edomv>
      <edomvd>Snow/Ice.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>Agriculture</edomv>
      <edomvd>Agriculture.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>Water</edomv>
      <edomvd>Water.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>Barren</edomv>
      <edomvd>Barren.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
  <attrdomv>
    <edom>
      <edomv>NoData</edomv>
      <edomvd>No data.</edomvd>
      <edomvds>LF 2022</edomvds>
    </edom>
  </attrdomv>
</attr>
      <attr>
        <attrlabl>R</attrlabl>
        <attrdef>Red color value/255</attrdef>
        <attrdefs>LF 2022</attrdefs>
        <attrdomv><rdom>
            <rdommin>0</rdommin>
            <rdommax>255</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>G</attrlabl>
        <attrdef>Green color value/ 255</attrdef>
        <attrdefs>LF 2022</attrdefs>
        <attrdomv><rdom>
            <rdommin>0</rdommin>
            <rdommax>255</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>B</attrlabl>
        <attrdef>Blue color value/255</attrdef>
        <attrdefs>LF 2022</attrdefs>
        <attrdomv><rdom>
            <rdommin>0</rdommin>
            <rdommax>255</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>RED</attrlabl>
        <attrdef>Red color value.</attrdef>
        <attrdefs>LF 2022</attrdefs>
        <attrdomv><rdom>
            <rdommin>0.0</rdommin>
            <rdommax>1.0</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>GREEN</attrlabl>
        <attrdef>Green color value.</attrdef>
        <attrdefs>LF 2022</attrdefs>
        <attrdomv><rdom>
            <rdommin>0.0</rdommin>
            <rdommax>1.0</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>BLUE</attrlabl>
        <attrdef>Blue color value.</attrdef>
        <attrdefs>LF 2022</attrdefs>
        <attrdomv><rdom>
            <rdommin>0.0</rdommin>
            <rdommax>1.0</rdommax>
          </rdom>
        </attrdomv>
      </attr>
    </detailed>
    <overview>
      <eaover>LANDFIRE (LF) 2022 Fire Behavior Fuel Model 13 (FBFM13) CONUS. 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/.</eaover>
      <eadetcit>https://www.landfire.gov/fbfm13.php</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey</cntorg>
          <cntper>GS ScienceBase</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing address</addrtype>
          <address>Denver Federal Center, Building 810, Mail Stop 302</address>
          <city>Denver</city>
          <state>CO</state>
          <postal>80225</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>1-888-275-8747</cntvoice>
        <cntemail>sciencebase@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <distliab>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.</distliab>
    <stdorder>
      <digform><digtinfo>
<formname>ARCG</formname>
<formverd>20230501</formverd> 
<formspec>LF 2022</formspec>
</digtinfo>
<digtopt><onlinopt><computer><networka><networkr>https://doi.org/10.5066/P974JF8W</networkr></networka></computer></onlinopt></digtopt></digform>
      <fees>none</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20230501</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey</cntorg>
        </cntorgp>
        <cntpos>Customer Service Representative</cntpos>
        <cntaddr>
          <addrtype>physical</addrtype>
          <address>47914 252nd Street</address>
          <city>Sioux Falls</city>
          <state>SD</state>
          <postal>57198</postal>
          <country>U.S.</country>
        </cntaddr>
        <cntvoice>605-594-6151</cntvoice>
        <cntemail>helpdesk@landfire.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
    <mettc>local time</mettc>
    <metsi>
<metscs>None</metscs>
<metsc>Unclassified</metsc>
<metshd>None</metshd>
</metsi>
  </metainfo>
</metadata>