<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20260116</CreaDate>
<CreaTime>13180600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<imsContentType export="False"/>
<itemName Sync="FALSE">USFS_EDW_MTBS_HI2</itemName>
<nativeExtBox>
<westBL Sync="TRUE">-17783022.823700</westBL>
<eastBL Sync="TRUE">-17261142.823700</eastBL>
<southBL Sync="TRUE">2153139.146900</southBL>
<northBL Sync="TRUE">2517099.146900</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;148923141.92838538&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">8</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">None</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">AMD</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
</General>
<Properties>
<MaxImageHeight Sync="TRUE">100000</MaxImageHeight>
<MaxImageWidth Sync="TRUE">100000</MaxImageWidth>
<MaxRecordCount Sync="TRUE">1000</MaxRecordCount>
<MaxDownloadImageCount Sync="TRUE">20</MaxDownloadImageCount>
<MaxDownloadSizeLimit Sync="TRUE">2048</MaxDownloadSizeLimit>
<MaxMosaicImageCount Sync="TRUE">20</MaxMosaicImageCount>
<DefaultCompressionQuality Sync="TRUE">75</DefaultCompressionQuality>
<DefaultCompressionTolerance Sync="TRUE">0.01</DefaultCompressionTolerance>
<BlendWidth Sync="TRUE">10</BlendWidth>
<ViewpointSpacingX Sync="TRUE">600</ViewpointSpacingX>
<ViewpointSpacingY Sync="TRUE">300</ViewpointSpacingY>
<AllowedItemMetadata Sync="TRUE">Basic</AllowedItemMetadata>
<DefaultResamplingMethod Sync="TRUE">0</DefaultResamplingMethod>
<AllowedMosaicMethods Sync="TRUE">NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None</AllowedMosaicMethods>
<AllowedCompressions Sync="TRUE">None,JPEG,LZ77,LERC</AllowedCompressions>
<AllowedMensurationCapabilities Sync="TRUE">Basic</AllowedMensurationCapabilities>
<AvailableMensurationCapabilities Sync="TRUE">None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D</AvailableMensurationCapabilities>
<ClipToBoundary Sync="TRUE">-1</ClipToBoundary>
<FootprintMayContainNoData Sync="TRUE">-1</FootprintMayContainNoData>
<CellSizeTolerance Sync="TRUE">0.8</CellSizeTolerance>
<MinimumPixelContribution Sync="TRUE">1</MinimumPixelContribution>
<AvailableMosaicMethods Sync="TRUE">NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None</AvailableMosaicMethods>
<AvailableCompressionMethods Sync="TRUE">None,JPEG,LZ77,LERC</AvailableCompressionMethods>
<AvailableItemMetadataLevels Sync="TRUE">None,Basic,Full</AvailableItemMetadataLevels>
<BandDefinitionKeyword Sync="TRUE">NONE</BandDefinitionKeyword>
<_docversion_ Sync="TRUE">10</_docversion_>
<AllowedFields Sync="TRUE">name,minps,maxps,lowps,highps,zorder,Year,Start_time,End_time</AllowedFields>
<MaxCellSize Sync="TRUE">19200</MaxCellSize>
<LowCellSize Sync="TRUE">30</LowCellSize>
<HighCellSize Sync="TRUE">1920</HighCellSize>
<RasterStatics.Count Sync="TRUE">2080</RasterStatics.Count>
<AvailableFields Sync="TRUE">name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,Year,Start_time,End_time,st_area(shape),st_perimeter(shape)</AvailableFields>
<SortableFields Sync="TRUE">minps,maxps,lowps,highps,centerx,centery,zorder,st_area(shape),st_perimeter(shape),Year</SortableFields>
<SortAscending Sync="TRUE">-1</SortAscending>
<MosaicOperator Sync="TRUE">1</MosaicOperator>
<BlendWidthUnits Sync="TRUE">1</BlendWidthUnits>
<ClipToFootprint Sync="TRUE">0</ClipToFootprint>
<ClipOverviewsToFootprint Sync="TRUE">0</ClipOverviewsToFootprint>
<HasDodgingTable Sync="TRUE">0</HasDodgingTable>
<ApplyColorCorrection Sync="TRUE">0</ApplyColorCorrection>
<UseTime Sync="TRUE">-1</UseTime>
<StartTimeFieldName Sync="TRUE">Start_time</StartTimeFieldName>
<EndTimeFieldName Sync="TRUE">End_time</EndTimeFieldName>
<TimeValueFormat Sync="TRUE">YYYYMMDD</TimeValueFormat>
<UseRange Sync="TRUE">0</UseRange>
<TimeIntervalUnits Sync="TRUE">Days</TimeIntervalUnits>
</Properties>
<Functions Sync="TRUE">
<Function Description="Performs on-the-fly mosaic on a raster catalog." Name="Mosaic Function"/>
</Functions>
</RasterProperties>
</DataProperties>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<SyncDate>20260116</SyncDate>
<SyncTime>14230100</SyncTime>
<ModDate>20260116</ModDate>
<ModTime>14270300</ModTime>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpOrgName>U.S. Geological Survey</rpOrgName>
<rpPosName>MTBS Project Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>800-252-4547</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>47914 252nd Street</delPoint>
<city>Sioux Falls</city>
<adminArea>SD</adminArea>
<postCode>57198</postCode>
<country>US</country>
<eMailAdd>burnseverity@usgs.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20260116</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<rpIndName>GS ScienceBase</rpIndName>
<rpOrgName>U.S. Geological Survey</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>1-888-275-8747</voiceNum>
</cntPhone>
<cntAddress addressType="postal">
<delPoint>Denver Federal Center, Building 810, Mail Stop 302</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80225</postCode>
<country>US</country>
<eMailAdd>sciencebase@usgs.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="005"/>
</role>
</distorCont>
<distorOrdPrc>
<resFees>None</resFees>
</distorOrdPrc>
<distorFormat>
<formatName>Digital Data</formatName>
</distorFormat>
<distorTran>
<onLineSrc>
<linkage>https://doi.org/10.5066/P9NETC0T</linkage>
</onLineSrc>
</distorTran>
</distributor>
<distTranOps>
<onLineSrc>
<linkage>https://doi.org/10.5066/P9NETC0T</linkage>
<linkage>https://www.mtbs.gov/</linkage>
</onLineSrc>
</distTranOps>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle>Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for Hawaii</resTitle>
<date>
<pubDate>2024-08-08</pubDate>
</date>
<citRespParty>
<rpOrgName>U.S. Geological Survey</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>USDA Forest Service</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>raster digital data</fgdcGeoform>
</presForm>
<collTitle>A Project for Monitoring Trends in Burn Severity</collTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;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 Hawaii during calendar year 2022. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>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 datasets. 4. Academic and government agency research entities interested in fire severity data over significant geographic and temporal extents. </idPurp>
<idCredit>Monitoring Trends in Burn Severity Project (U.S. Geological Survey and USDA Forest Service)</idCredit>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<idPoC>
<rpOrgName>U.S. Geological Survey</rpOrgName>
<rpPosName>MTBS Project Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>800-252-4547</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>47914 252nd Street</delPoint>
<city>Sioux Falls</city>
<adminArea>SD</adminArea>
<postCode>57198</postCode>
<country>US</country>
<eMailAdd>burnseverity@usgs.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="quarterly or as needed"/>
</maintFreq>
</resMaint>
<placeKeys>
<thesaName>
<resTitle>Common geographic areas</resTitle>
</thesaName>
<keyword>United States</keyword>
<keyword>Continental U.S.</keyword>
<keyword>Alaska</keyword>
<keyword>Hawaii</keyword>
<keyword>Puerto Rico</keyword>
</placeKeys>
<placeKeys>
<thesaName>
<resTitle>Common geographic areas</resTitle>
</thesaName>
<keyword>US</keyword>
<keyword>CONUS</keyword>
<keyword>AK</keyword>
<keyword>HI</keyword>
<keyword>PR</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Category</resTitle>
</thesaName>
<keyword>imageryBaseMapsEarthCover</keyword>
</themeKeys>
<themeKeys>
<keyword>Wildfire</keyword>
<keyword>Prescribed fire</keyword>
<keyword>Fire occurrence</keyword>
<keyword>Landsat</keyword>
<keyword>Differenced normalized burn ratio</keyword>
<keyword>Wildland fire</keyword>
<keyword>Normalized burn ratio</keyword>
<keyword>MTBS</keyword>
<keyword>Burned area</keyword>
<keyword>Burn severity</keyword>
<keyword>Fire location</keyword>
<keyword>Location</keyword>
<keyword>Sentinel</keyword>
</themeKeys>
<searchKeys>
<keyword>imageryBaseMapsEarthCover</keyword>
<keyword>Wildfire</keyword>
<keyword>Prescribed fire</keyword>
<keyword>Fire occurrence</keyword>
<keyword>Landsat</keyword>
<keyword>Differenced normalized burn ratio</keyword>
<keyword>Wildland fire</keyword>
<keyword>Normalized burn ratio</keyword>
<keyword>MTBS</keyword>
<keyword>Burned area</keyword>
<keyword>Burn severity</keyword>
<keyword>Fire location</keyword>
<keyword>Location</keyword>
<keyword>Sentinel</keyword>
<keyword>United States</keyword>
<keyword>Continental U.S.</keyword>
<keyword>Alaska</keyword>
<keyword>Hawaii</keyword>
<keyword>Puerto Rico</keyword>
<keyword>US</keyword>
<keyword>CONUS</keyword>
<keyword>AK</keyword>
<keyword>HI</keyword>
<keyword>PR</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;There are no restrictions on use, except for reasonable and proper acknowledgement of information sources.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;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. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Additionally, the U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at https://creativecommons.org/public-domain/cc0/). &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How to File a Program Discrimination Complaint and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: program.intake@usda.gov. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;USDA is an equal opportunity provider, employer, and lender. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<resConst>
<LegConsts>
<useLimit>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. </useLimit>
</LegConsts>
</resConst>
<aggrInfo>
<aggrDSName>
<resTitle>A Project for Monitoring Trends in Burn Severity</resTitle>
<date>
<pubDate>2007</pubDate>
</date>
<citRespParty>
<rpOrgName>Jeff Eidenshink</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Brian Schwind</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Ken Brewer</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Zhi-Liang Zhu</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Brad Quayle</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Stephen Howard</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="publication"/>
</presForm>
<presForm>
<fgdcGeoform>publication</fgdcGeoform>
</presForm>
<otherCitDet>Fire Ecology Special Issue
Vol. 3, No. 1, 2007</otherCitDet>
<citOnlineRes>
<linkage>https://www.mtbs.gov/sites/mtbs/files/inline-files/Eidenshink-final.pdf</linkage>
</citOnlineRes>
</aggrDSName>
<assocType>
<AscTypeCd value="002"/>
</assocType>
</aggrInfo>
<spatRpType>
<SpatRepTypCd value="002"/>
</spatRpType>
<envirDesc>ERDAS Imagine and ESRI ArcGIS</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<exTypeCode>true</exTypeCode>
<westBL>-156.6937873836692 </westBL>
<eastBL>-155.60543521457757 </eastBL>
<northBL>20.91541925742407 </northBL>
<southBL>19.69533896843371 </southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<exDesc>ground condition</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2022</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<suppInfo>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. </suppInfo>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-159.747612</westBL>
<eastBL Sync="TRUE">-155.059484</eastBL>
<northBL Sync="TRUE">22.046418</northBL>
<southBL Sync="TRUE">18.984738</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tempKeys>
<keyword>1992-2024</keyword>
</tempKeys>
<tpCat>
<TopicCatCd value="010"/>
</tpCat>
<tpCat>
<TopicCatCd value="013"/>
</tpCat>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report type="DQQuanAttAcc">
<measDesc>MTBS analysts examine the differenced Normalized Burn Ratio (dNBR) image for each fire in the context of remote sensing spectral data and any ancillary information available to the analyst. dNBR image data for each fire are thresholded into classes representing unburned areas; areas of low, moderate, high burn severities; and areas of increased vegetation response. Analysts follow guidelines established by subject matter experts to maintain consistency in discerning burn severity thresholds from fire to fire and minimize subjectivity. </measDesc>
</report>
<report type="DQConcConsis">
<measDesc>No tests for logical consistency have been performed on this map layer. </measDesc>
</report>
<report type="DQCompOm">
<measDesc>Data completeness reflects the availability of fire occurrence information and/or availability of suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B), and the current progression of processing by the MTBS program in the specified state or geographic region. In some areas, fires smaller than the specified MTBS fire size criteria may be present. These fires were mapped using MTBS mapping protocols to meet the data/information needs of other unrelated programs but are included in the MTBS database. </measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>Each image used to create the burn severity assessment (utilizing Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B), was precision terrain-corrected using 3-arc-second digital terrain elevation data, and Geo registered using ground control points. This resulted in a root mean square registration error of less than 1 pixel (30-meters). </measDesc>
</report>
<report dimension="vertical" type="DQAbsExtPosAcc">
<measDesc>N/A</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>For a detailed definition and discussion on the processing and production of MTBS geospatial data, please refer to https://www.mtbs.gov. A synopsis of the production of this layer is provided below.
MTBS burn severity class data are derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). A pre- and a post-fire scene are used to create a dNBR image. The continuous dNBR image portrays the variations of burn severity within the fire. In exceptional circumstances, a suitable pre-fire image may not be available to generate a dNBR. Consequently, analysis and assessment are conducted using the post-fire Normalized Burn Ratio (NBR) image only.
The MTBS mapping approach has consistently occurred in five primary steps:
1. Fire Occurrence Data Compilation
2. Scene Selection and Image Pre-processing
3. Perimeter Delineation
4. Burn Severity Interpretation
5. Data Distribution;
1. Fire Occurrence Data Compilation:
Historically, MTBS compiled fire occurrence data from several federal and state databases that maintained little consistency in standards for content, geospatial accuracy, and nomenclature. These datasets were then filtered and standardized internally by MTBS staff to reduce duplication of incident records reported by multiple agencies, and to resolve gross geospatial inaccuracies that were commonly found in the source data.
In recent years, significant improvements have been made to streamline the reporting procedures and data exchange for land management agencies in their creation and maintenance of fire occurrence data. Specifically, the Integrated Reporting of Wildland-Fire Information (IRWIN) Project has provided an end-to-end fire reporting system focused on the goals of reducing redundant data entry, identifying authoritative data sources, and improving the consistency, accuracy, and availability of operational data. Through a multi-year phased approach, the IRWIN Project is tasked with identifying and integrating fire occurrence data from several different sources and applications.
Fire occurrence data from IRWIN are routinely ingested into a database maintained by MTBS and other postfire mapping programs, and currently make up the bulk of the records used by MTBS to identify candidate fires for mapping. More information on IRWIN can be found at: https://www.forestsandrangelands.gov/WFIT/applications/IRWIN/index.shtml. </stepDesc>
<stepDateTm>2024-08-08</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>2. Scene Selection and Image Pre-processing: For fire events that meet the minimum size requirement for MTBS mapping, corresponding Landsat or Sentinel scenes are selected based upon the reported location and ignition date. After an initial review and determination of the appropriate assessment strategy: initial, extended, or single scene, candidate pre-fire and postfire scenes are reviewed and downloaded using tools and applications developed by U.S. Geological Survey Earth Resources Observation and Science (EROS) Center, such as Earth Explorer and GloVis. Limitations due to scene quality are common in areas prone to cloud cover (e.g., the Southeast United States). Other atmospheric conditions such as smoke from active fires, terrain shadows and other obscurations also reduce the number of candidate scenes. In addition, northern latitudes are subject to a shorter period of optimal scene selection due to undesirable sun angles in the fall and a shorter growing season.
Downloaded scenes are processed to generate top-of-atmosphere reflectance images according to existing USGS-EROS protocols that include geometric (including terrain correction) and radiometric correction through the Landsat Ground Processing System process. Prior to processing the imagery into a burn severity product, pre-fire and postfire images are inspected for co-registration accuracy and corrected if spatial differences are noted.
Using the reflectance imagery, a Normalized Burn Ratio (NBR) image is generated for each pre-fire and postfire scene as the normalized difference between middle infrared and near infrared wavelength bands and then differenced to create a dNBR image. A relativized dNBR (RdNBR) is also calculated to evaluate potential limitations of dNBR to characterize fire severity on low biomass sites and potentially enhance inter-fire comparability of the results at larger ecological scales. Processing the Landsat image data to NBR, dNBR and RdNBR is a straightforward series of calculations relying principally on automated production sequences. </stepDesc>
<stepDateTm>2024-08-08</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>3. Perimeter Delineation:
The burned area boundary is delineated by on-screen interpretation of the reflectance imagery, NBR, dNBR and/or RdNBR images. The mapping analyst digitizes a perimeter to include any detectable fire area derived from these images. Clouds, cloud shadows, snow or other anomalies intersecting the fire area are also delineated and used to generate a mask later in the workflow. The mapping analyst may inspect and/or modify an existing burn area boundary and mask sourced from a reputable fire occurrence dataset or fire detection model when available. To ensure consistency and high spatial precision, digitization and inspection is performed at on-screen display scales between 1:24000 and 1:50000. </stepDesc>
<stepDateTm>2024-08-08</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>4. Burn Severity Interpretation:
The process of developing a categorical burn severity product is subjective and is dependent on analyst interpretation. The analyst evaluates the dNBR data range and determines where significant thresholds exist in the data to discriminate between burn severity classes. Interpretations are conducted on the NBR, dNBR and RdNBR data, aided by the pre-fire and postfire imagery, and analyst experience with fire behavior and effects in each ecological setting. Where available, high-resolution imagery is visually inspected to provide confidence in selecting the burn severity thresholds.
Thresholding dNBR data into thematic class values results in an intuitive map depicting a manageable number of ecologically significant classes (typically 4 to 7 class values). There are uncertainties in this approach stemming from analyst subjectivity and limited or no plot data to guide threshold selection. Ecological significance of burn severity classes will also likely vary across regions and landscapes and one set of thresholds cannot be expected to apply equally well to all analysis objectives and management issues. </stepDesc>
<stepDateTm>2024-08-08</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>5. Data Distribution:
The primary access point for acquiring MTBS data is through the program website: https://www.mtbs.gov. There you will find an interactive viewer which allows users to search for and download individual fire data in addition to direct download options for state and national data products. Connection information is also provided for those interested in using web map services. </stepDesc>
<stepDateTm>2024-08-08</stepDateTm>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<Georect>
<numDims>3</numDims>
<axisDimension type="001">
<dimSize>4495 </dimSize>
<dimResol>
<value Sync="TRUE" uom="m">30.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="002">
<dimSize>3791 </dimSize>
<dimResol>
<value Sync="TRUE" uom="m">30.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="003">
<dimSize>1</dimSize>
</axisDimension>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">-17783022.823700 2153139.146900</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-17783022.823700 2517099.146900</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-17261142.823700 2517099.146900</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-17261142.823700 2153139.146900</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">-17522082.823700 2335119.146900</pos>
</centerPt>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
<maxVal Sync="TRUE">6.000000</maxVal>
<minVal Sync="TRUE">1.000000</minVal>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<eainfo>
<detailed>
<enttyp>
<enttypl>None</enttypl>
<enttypd>Raster geospatial data file</enttypd>
<enttypds>Producer defined</enttypds>
</enttyp>
<attr>
<attrlabl>Value</attrlabl>
<attrdef>Unique numeric values contained in each raster cell</attrdef>
<attrdefs>Producer defined</attrdefs>
<attrdomv>
<edom>
<edomv>0</edomv>
<edomvd>Background/No Data</edomvd>
<edomvds>Producer defined</edomvds>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>Unburned/Underburned to Low Burn Severity</edomvd>
<edomvds>Producer defined</edomvds>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>2</edomv>
<edomvd>Low burn severity</edomvd>
<edomvds>Producer defined</edomvds>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>3</edomv>
<edomvd>Moderate burn severity</edomvd>
<edomvds>Producer defined</edomvds>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>4</edomv>
<edomvd>High Burn Severity</edomvd>
<edomvds>Producer defined</edomvds>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>5</edomv>
<edomvd>Increased Greenness/Increased Vegetation Response</edomvd>
<edomvds>Producer defined</edomvds>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>6</edomv>
<edomvd>Non-Processing Area Mask</edomvd>
<edomvds>Producer defined</edomvds>
</edom>
</attrdomv>
</attr>
</detailed>
<overview>
<eaover>MTBS thematic burn severity classes are thresholded from continuous dNBR images or NBR images when pre-fire images are not available. Thresholds are based on interpretation by MTBS analysts. </eaover>
<eadetcit>MTBS Thresholded Burn Severity</eadetcit>
</overview>
</eainfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
