<?xml version='1.0' encoding='UTF-8'?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <idinfo>
    <citation>
      <citeinfo>
        <origin>Joshua Picotte</origin>
        <origin>USGS</origin>
        <pubdate>20250218</pubdate>
        <title>Pre-fire (20210702) Relative Height 50th Percentile for the Cedar Creek Fire</title>
        <edition>v1</edition>
        <geoform>raster digital data</geoform>
        <pubinfo>
          <pubplace>https://www.sciencebase.gov/catalog/</pubplace>
          <publish>https://www.usgs.gov/special-topics/wildland-fire-science/science/post-fire-hazards-impacts-resources-and-ecosystems</publish>
        </pubinfo>
        <onlink>https://doi.org/10.5066/P14UK9QV</onlink>
      </citeinfo>
    </citation>
    <descript>
      <abstract>Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow modeling and related risk analyses, hydrology and water quality assessments, and vulnerability to invasive species. Monitoring vegetation recovery over time enables continuous re-evaluation of various post-fire hazards, thereby facilitating informed and timely responses to post-fire risks by land managers at the local level. Structure metrics were derived from spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidar data and used to map pre- and post-fire structure. Pre- and post-fire Landsat or Sentinel satellite data were obtained from the Monitoring Trends in Burn Severity (MTBS; https://www.mtbs.gov/) program. GEDI data were intersected with each satellite band and XGBoost models were built using band values as independent variables and GEDI vegetation structure values as dependent values. The models were used to generate spatially continuous maps of structure, providing vegetation structural estimates throughout the fire perimeter and beyond.</abstract>
      <purpose>These data estimate the pre-fire Relative Height 50th Percentile (RH50) for the 2022 Cedar Creek Fire. This dataset is a modeled estimate representing the entirety of the fire boundary and adjacent areas. Data are modeled and should only be used as an estimate of RH50.</purpose>
    </descript>
    <timeperd>
      <timeinfo>
        <sngdate>
          <caldate>20220801</caldate>
        </sngdate>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <descgeog>Cedar Creek Fire</descgeog>
      <bounding>
        <westbc>-120.64370158644358</westbc>
        <eastbc>-120.30572787665601</eastbc>
        <northbc>48.607150812551815</northbc>
        <southbc>48.348419489812365</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>biota</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>wildfire</themekey>
        <themekey>wildland fire</themekey>
        <themekey>Relative Height 50th Percentile</themekey>
        <themekey>vegetation structure</themekey>
        <themekey>Cedar Creek</themekey>
        <themekey>Oregon</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>lidar</themekey>
      </theme>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:67ae2efdd34e3f09c0e0f17d</themekey>
      </theme>
    </keywords>
    <accconst>None.  Please see 'Distribution Info' for details.</accconst>
    <useconst>None.  Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</useconst>
    <ptcontac>
      <cntinfo>
        <cntperp>
          <cntper>Joshua J Picotte</cntper>
          <cntorg>USGS - CORE SCIENCE SYSTEMS</cntorg>
        </cntperp>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Earth Resources Observation and Science Ctr,EROS - Mundt Federal Building</address>
          <city>Sioux Falls</city>
          <state>SD</state>
          <postal>57198</postal>
        </cntaddr>
        <cntvoice>605-594-2677</cntvoice>
        <cntemail>jpicotte@usgs.gov</cntemail>
      </cntinfo>
    </ptcontac>
    <crossref>
      <citeinfo>
        <origin>S.S. Saatchi</origin>
        <origin>S. Favrichon</origin>
        <pubdate>2024</pubdate>
        <title>Global Vegetation Height Metrics from GEDI and ICESat2</title>
        <geoform>publication</geoform>
        <pubinfo>
          <pubplace>n/a</pubplace>
          <publish>ORNL Distributed Active Archive Center</publish>
        </pubinfo>
        <onlink>https://doi.org/10.3334/ornldaac/2294</onlink>
      </citeinfo>
    </crossref>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>A total of 2066 of GEDI RH50 detections were withheld for the analysis.  The model data fit (R2) was 0.2137.  The dataset has an RMSE of 5.1794 m.</attraccr>
    </attracc>
    <logic>Actual data match up with details provided and fall within expected ranges.  We have examined the data to ensure that it geospatially aligns correctly.</logic>
    <complete>All data are complete for the entirety of the fire boundary</complete>
    <lineage>
      <procstep>
        <procdesc>Pre-fire GEDI data were acquired over the Cedar Creek Fire Perimeter.</procdesc>
        <procdate>20240305</procdate>
      </procstep>
      <procstep>
        <procdesc>Data were geospatially overlapped with Sentinel or Landsat data and band values were extracted.</procdesc>
        <procdate>20240305</procdate>
      </procstep>
      <procstep>
        <procdesc>Datasets were subdivided into 50% training data for model building and 50% for model assessment.</procdesc>
        <procdate>20240305</procdate>
      </procstep>
      <procstep>
        <procdesc>XGBoost models with RH50 values as the dependent and Sentinel or Landsat data as independent variables were built.  Models were tuned using Optuna to minimize model overfitting.</procdesc>
        <procdate>20240305</procdate>
      </procstep>
      <procstep>
        <procdesc>RH50 XGBoost models were applied to pre- or post-fire Landsat or Sentinel datasets.</procdesc>
        <procdate>20240305</procdate>
      </procstep>
      <procstep>
        <procdesc>Modeled datasets were then assessed with withheld test data.</procdesc>
        <srcused>https://landsat.gsfc.nasa.gov/</srcused>
        <srcused>https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data</srcused>
        <procdate>20240305</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
    <rastinfo>
      <rasttype>Grid Cell</rasttype>
      <rowcount>982</rowcount>
      <colcount>868</colcount>
      <vrtcount>1</vrtcount>
    </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>0.0</feast>
            <fnorth>0.0</fnorth>
          </albers>
        </mapproj>
        <planci>
          <plance>row and column</plance>
          <coordrep>
            <absres>30.0</absres>
            <ordres>30.0</ordres>
          </coordrep>
          <plandu>meters</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>North_American_Datum_1983</horizdn>
        <ellips>GRS 1980</ellips>
        <semiaxis>6378137.0</semiaxis>
        <denflat>298.257222101004</denflat>
      </geodetic>
    </horizsys>
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>CedarCreek_2A_merged_date_train_rh_50_pre_extracted_xgboost_clean.tif</enttypl>
        <enttypd>Raster geospatial data file.</enttypd>
        <enttypds>Producer Defined</enttypds>
      </enttyp>
      <attr>
        <attrlabl>Relative Height 50th Percentile</attrlabl>
        <attrdef>Numeric values representing the modeled GEDI-derived Relative Height 50th Percentile (RH50) contained in each raster cell.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>0.0</rdommin>
            <rdommax>15.042136192321777</rdommax>
            <attrunit>meters</attrunit>
            <attrmres>30</attrmres>
          </rdom>
        </attrdomv>
      </attr>
    </detailed>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey - ScienceBase</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing address</addrtype>
          <address>Denver Federal Center</address>
          <address>Building 810</address>
          <address>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>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>Digital Data</formname>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://doi.org/10.5066/P14UK9QV</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20250218</metd>
    <metc>
      <cntinfo>
        <cntperp>
          <cntper>Joshua J Picotte</cntper>
          <cntorg>USGS - CORE SCIENCE SYSTEMS</cntorg>
        </cntperp>
        <cntpos>Biologist</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Earth Resources Observation and Science Ctr, EROS - Mundt Federal Building</address>
          <city>Sioux Falls</city>
          <state>SD</state>
          <postal>57198</postal>
        </cntaddr>
        <cntvoice>605-594-2677</cntvoice>
        <cntfax>605-594-6529</cntfax>
        <cntemail>jpicotte@usgs.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001.1-1999</metstdv>
  </metainfo>
</metadata>
