<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20260930</CreaDate>
<CreaTime>12132300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Scottish_Bracken_Classification_20260420.tif</itemName>
<nativeExtBox>
<westBL Sync="TRUE">5510.000000</westBL>
<eastBL Sync="TRUE">470340.000000</eastBL>
<southBL Sync="TRUE">530250.000000</southBL>
<northBL Sync="TRUE">1220310.000000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_OSGB_1936</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">British_National_Grid</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/3.7.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;British_National_Grid&amp;quot;,GEOGCS[&amp;quot;GCS_OSGB_1936&amp;quot;,DATUM[&amp;quot;D_OSGB_1936&amp;quot;,SPHEROID[&amp;quot;Airy_1830&amp;quot;,6377563.396,299.3249646]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,400000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,-100000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-2.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996012717],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,49.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,27700]]&lt;/WKT&gt;&lt;XOrigin&gt;-5220400&lt;/XOrigin&gt;&lt;YOrigin&gt;-15524400&lt;/YOrigin&gt;&lt;XYScale&gt;450481592.76709664&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;27700&lt;/WKID&gt;&lt;LatestWKID&gt;27700&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">8</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">DEFLATE</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">0</NoDataValue>
</General>
</RasterProperties>
</DataProperties>
<SyncDate>20260916</SyncDate>
<SyncTime>10275600</SyncTime>
<ModDate>20260924</ModDate>
<ModTime>11530000</ModTime>
<ArcGISProfile>INSPIRE</ArcGISProfile>
<scaleRange>
<minScale>20000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<mdFileID>9057e7d6-bf8d-49b7-92c2-1bb7a2574c57</mdFileID>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="GBR"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<rpIndName>GIS Data Engineer</rpIndName>
<rpOrgName>Scottish Government</rpOrgName>
<rpPosName>Geospatial Team</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="postal">
<eMailAdd>GIS@gov.scot</eMailAdd>
<delPoint>Victoria Quay</delPoint>
<city>City of Edinburgh</city>
<adminArea>Scotland</adminArea>
<postCode>EH6 6QQ</postCode>
<country>GB</country>
</cntAddress>
<cntOnlineRes>
<linkage>https://www.gov.scot/</linkage>
<protocol>WWW:LINK-1.0-http--link</protocol>
</cntOnlineRes>
</rpCntInfo>
</mdContact>
<mdDateSt Sync="TRUE">20260924</mdDateSt>
<distInfo>
<distTranOps>
<onLineSrc>
<protocol>OGC:WMTS</protocol>
<orDesc>OGC Tile View Service</orDesc>
<orFunct>
<OnFunctCd value="002"/>
</orFunct>
<linkage>https://maps.data.gov.scot/arcgis/rest/services/BrackenClassification/MapServer/WMTS?</linkage>
</onLineSrc>
<onLineSrc>
<protocol>WWW:DOWNLOAD-1.0-http--download</protocol>
<orFunct>
<OnFunctCd value="001"/>
</orFunct>
<linkage>https://maps.data.gov.scot/shapefiles/SG_BrackenMap_2024_Classification_2026-06-18_tiff.zip</linkage>
<orDesc>OGC GeoTIFF Download</orDesc>
</onLineSrc>
<onLineSrc>
<linkage>https://experience.arcgis.com/experience/613d2abdcd964aefbdcb7784e0f122df</linkage>
<orName>Scottish Bracken Map 2024</orName>
<orDesc>Interactive map of bracken extent and probability in Scotland</orDesc>
<orFunct>
<OnFunctCd value="002"/>
</orFunct>
<protocol>WWW:LINK-1.0-http--link</protocol>
</onLineSrc>
<onLineSrc>
<linkage>https://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdfhttps://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdf</linkage>
<protocol>WWW:LINK-1.0-http--link</protocol>
<orName>Creation of a Scottish Bracken Map</orName>
<orDesc>Technical Report</orDesc>
</onLineSrc>
</distTranOps>
<distFormat>
<formatName>WMTS</formatName>
<formatVer>1.0.0</formatVer>
</distFormat>
<distFormat>
<formatName>GeoTIFF</formatName>
<formatVer>1.1</formatVer>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">Scottish Bracken Map 2024 - Classification</resTitle>
<citId>
<identCode>SG_BrackenMap_2024_Classification</identCode>
</citId>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<date>
<createDate>2026-06-18T00:00:00</createDate>
<pubDate>2026-09-22T00:00:00</pubDate>
<reviseDate>2026-06-18T00:00:00</reviseDate>
</date>
<citId>
<identCode codeSpace="https://gis.data.gov.scot/portal">eaf1ed1257a7485382e58f453aba1949</identCode>
</citId>
</idCitation>
<idPoC>
<rpIndName>GIS Data Engineer</rpIndName>
<rpOrgName>Scottish Government</rpOrgName>
<rpPosName>Geospatial Team</rpPosName>
<role>
<RoleCd value="010"/>
</role>
<rpCntInfo>
<cntAddress addressType="postal">
<eMailAdd>GIS@gov.scot</eMailAdd>
<delPoint>Victoria Quay</delPoint>
<city>City of Edinburgh</city>
<adminArea>Scotland</adminArea>
<postCode>EH6 6QQ</postCode>
<country>GB</country>
</cntAddress>
<cntOnlineRes>
<linkage>https://www.gov.scot/</linkage>
<protocol>WWW:LINK-1.0-http--link</protocol>
</cntOnlineRes>
</rpCntInfo>
<displayName>GIS Analyst</displayName>
</idPoC>
<themeKeys>
<thesaName>
<resTitle>GEMET - INSPIRE themes, version 1.0</resTitle>
<citOnlineRes>
<linkage>http://www.eionet.europa.eu/gemet/inspire_themes</linkage>
</citOnlineRes>
<date>
<pubDate>2008-06-01T00:00:00</pubDate>
</date>
</thesaName>
<keyword>Land cover</keyword>
</themeKeys>
<themeKeys>
<thesaName>
<resTitle>GEMET - Concepts, version 4.2.3</resTitle>
<date>
<pubDate>2008-06-01T00:00:00</pubDate>
</date>
<citOnlineRes>
<linkage>https://www.eionet.europa.eu/gemet/en/themes/</linkage>
</citOnlineRes>
</thesaName>
<keyword>fern,</keyword>
<keyword>remote sensing,</keyword>
<keyword>undergrowth,</keyword>
<keyword>vegetation,</keyword>
<keyword>weed</keyword>
</themeKeys>
<idCredit>© Scottish Government, Crown copyright and database right 2026.</idCredit>
<resConst>
<LegConsts>
<inspireAccessUseConditions>
<ConditionsAccUseCd value="001"/>
</inspireAccessUseConditions>
</LegConsts>
</resConst>
<resConst>
<LegConsts>
<inspirePublicAccessLimits>
<PublicAccessCd value="001"/>
</inspirePublicAccessLimits>
</LegConsts>
</resConst>
<resConst>
<LegConsts>
<accessConsts>
<RestrictCd value="008"/>
</accessConsts>
<useConsts>
<RestrictCd value="008"/>
</useConsts>
<othConsts>The following attribution statement must be used to acknowledge the source of the information: Copyright Scottish Government © Crown copyright and database right [insert year].</othConsts>
</LegConsts>
</resConst>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Available under the terms of the &lt;/SPAN&gt;&lt;A href="https://www.nationalarchives.gov.uk/doc/open-government-licence/" target="_blank" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Open Government Licence&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;. The following attribution statement must be used to acknowledge the source of the information: © Scottish Government&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;crown copyright and database right [insert year].&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="FALSE" value="GB"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<spatRpType>
<SpatRepTypCd value="002"/>
</spatRpType>
<envirDesc Sync="FALSE">Esri ArcGIS 13.7.0.1901</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-9.229939</westBL>
<eastBL Sync="TRUE">-0.704987</eastBL>
<northBL Sync="TRUE">60.866188</northBL>
<southBL Sync="TRUE">54.513345</southBL>
</GeoBndBox>
</geoEle>
<exDesc>Scotland</exDesc>
<geoEle>
<GeoDesc>
<exTypeCode>1</exTypeCode>
<geoId>
<identCode>GB-SCT</identCode>
<identAuth>
<resTitle>ISO 3166 — Codes for the representation of names of countries and their subdivisions</resTitle>
<date>
<reviseDate>2022-11-29T00:00:00</reviseDate>
</date>
<citOnlineRes>
<linkage>https://www.iso.org/obp/ui/#iso:code:3166:GB</linkage>
</citOnlineRes>
</identAuth>
</geoId>
</GeoDesc>
</geoEle>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2024-01-01T00:00:00</tmBegin>
<tmEnd>2024-12-31T00:00:00</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<otherKeys>
<keyword>bracken</keyword>
</otherKeys>
<idPurp>This dataset provides 10m resolution mapping of bracken extent in Scotland in 2024. It was commissioned by the Scottish Government as part of the Scottish Bracken Map publication in order to monitor the environmental and landscape impacts of bracken and help to quantify efforts to control it.</idPurp>
<searchKeys>
<keyword>Bracken</keyword>
<keyword>fern</keyword>
<keyword>land cover</keyword>
<keyword>remote sensing</keyword>
<keyword>undergrowth</keyword>
<keyword>vegetation</keyword>
<keyword>weed</keyword>
</searchKeys>
<suppInfo>https://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdf</suppInfo>
<resMaint>
<maintFreq>
<MaintFreqCd value="012"/>
</maintFreq>
<usrDefFreq>
<duration>Biennial</duration>
</usrDefFreq>
</resMaint>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The &lt;/SPAN&gt;&lt;A href="https://experience.arcgis.com/experience/613d2abdcd964aefbdcb7784e0f122df" target="_blank" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Scottish Bracken Map&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; provide&lt;/SPAN&gt;&lt;SPAN&gt;s&lt;/SPAN&gt;&lt;SPAN&gt; a baseline for monitoring the distribution of bracken (Pteridium aquilinum) &lt;/SPAN&gt;&lt;SPAN&gt;at 10 metre resolution across Scotland. It was commissioned by the Scottish Government &lt;/SPAN&gt;&lt;SPAN&gt;following the &lt;/SPAN&gt;&lt;SPAN&gt;ban on usage of &lt;/SPAN&gt;&lt;SPAN&gt;the herbicide Asulam&lt;/SPAN&gt;&lt;SPAN&gt;,&lt;/SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;SPAN&gt;and supported &lt;/SPAN&gt;&lt;SPAN&gt;by the &lt;/SPAN&gt;&lt;A href="https://www.gov.scot/groups/bracken-scottish-working-group/" target="_blank" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Scottish Bracken Working Group&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; as part of their aim to address key evidence gaps relating to the extent and management of bracken in Scotland.&lt;/SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;SPAN&gt;The dataset is intended to support monitoring, land management, environmental assessment and future updates of national bracken extent.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The dataset is supplied as two related outputs:&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Bracken Classification&lt;/SPAN&gt;&lt;SPAN&gt;: a binary map identifying areas predicted to contain bracken vegetation.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Bracken Probability&lt;/SPAN&gt;&lt;SPAN&gt;: a continuous raster showing the modelled probability (0-100%) of bracken presence for each 10 m pixel, allowing users to apply alternative thresholds according to their requirements.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN&gt;The Bracken Map was &lt;/SPAN&gt;&lt;SPAN&gt;derived using Earth Observation and machine learning techniques applied to 2024 satellite and environmental data.&lt;/SPAN&gt;&lt;SPAN&gt; The model was based on summer and autumn composites of &lt;/SPAN&gt;&lt;SPAN&gt;Sentinel-1 radar imagery&lt;/SPAN&gt;&lt;SPAN&gt; and&lt;/SPAN&gt;&lt;SPAN&gt; Sentinel-2 optical imagery&lt;/SPAN&gt;&lt;SPAN&gt; (NDVI maximum composites)&lt;/SPAN&gt;&lt;SPAN&gt;, elevation and canopy height data, and training data from field surveys and habitat mapping sources.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The final classification achieved an overall accuracy of approximately 85%&lt;/SPAN&gt;&lt;SPAN&gt; (88% recall and 79% precision)&lt;/SPAN&gt;&lt;SPAN&gt; and identified around 208,000 hectares of bracken across Scotland.&lt;/SPAN&gt;&lt;SPAN&gt; A full methodology can be found in the accompanying technical &lt;/SPAN&gt;&lt;SPAN&gt;documentation:&lt;/SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;A href="https://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdf" target="_blank" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Creation of a Scottish Bracken Map&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<tpCat>
<TopicCatCd value="002"/>
</tpCat>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</mdMaint>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="" type="DQDomConsis">
<measResult>
<ConResult>
<conSpec>
<resTitle>COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services</resTitle>
<date>
<pubDate>2010-12-08T00:00:00</pubDate>
</date>
<citOnlineRes>
<linkage>https://inspire.ec.europa.eu/Themes/139/2892</linkage>
</citOnlineRes>
</conSpec>
<conExpl>Not conformant.</conExpl>
<conPass>0</conPass>
</ConResult>
</measResult>
</report>
<dataLineage>
<statement>The Scottish Bracken Map was created using a a multi-sensor, satellite-driven Earth Observation (EO) workflow using a Random Forest machine learning model. It was developed by Environment Systems on behalf of the Scottish Government, with additional support from NatureScot. It is intended that this dataset will be updated on a 2-yearly basis, however, this is dependent on resource.
Satellite remote sensing dataset inputs were temporal composites of 2024 Sentinel-1 radar and Sentinel-2 optical imagery (NDVI maximum composites), alongside Aerial Photography of Great Britain (APGB) elevation models. These were pre-processed to produce analysis-ready inputs, including monthly Sentinel-1 composites, seasonal Sentinel-2 NDVI composites, and derived terrain and canopy height layers. Training samples representing bracken and non-bracken land cover classes were compiled from the following reference datasets:
• Southern Uplands Habitat Survey - including polygons where bracken coverage was 70% or greater;
• Scottish Government Land Parcel Identification System (LPIS) data – polygons that had been assessed as 100% ineligible (to be classified as land to receive agricultural subsidy) through a technical assessment. These were used in conjunction with Aerial Photography Interpretation (API);
• Living England ground observations – using data from Northern England where habitats are ecologically comparable to Scotland;
• Scottish Habitat and Land Cover Map (SHLCM, 2022) – assessing habitats against aerial imagery to discern bracken within a range of SHLCM classes.
All training data points were consolidated into a single dataset and standardised across sources with several training iterations to optimise class combinations, resulting in the follow nine classes: Arable; Bare; Bracken; Broadleaved woodland; Conifer woodland; Dwarf shrub; Rock; Urban; Water. A Random Forest model was trained and applied across Scotland to generate a bracken probability surface. A binary bracken classification was then produced by applying a probability threshold to the model output. The resulting datasets were reviewed against aerial photography and reference data to assess performance and suitability for operational use.
The project detected approximately 208,000 hectares of bracken coverage across Scotland. Key findings were:
• The final model achieved an overall accuracy of 85%. For the bracken class specifically, it achieved an 88% recall (successfully identifying the vast majority of true bracken) and a 79% precision, indicating a slight over-classification where bracken was occasionally confused with broadleaved trees and dwarf shrubs. • The summer and autumn Sentinel-2 NDVI composites, alongside elevation-derived datasets, were identified as the most valuable inputs for accurately distinguishing bracken from other vegetation. • Methodological limitations highlighted include missing optical data due to seasonal cloud cover and inconsistent surface height variations with the APGB elevation models.
A full methodology is available in the Project Report, available at https://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdf.</statement>
</dataLineage>
</dqInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">5510.000000 530250.000000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">5510.000000 1220310.000000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">470340.000000 1220310.000000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">470340.000000 530250.000000</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">237925.000000 875280.000000</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">46483</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">10.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">69006</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">10.000000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<refSysInfo>
<RefSystem dimension="">
<refSysID>
<idCodeSpace>EPSG</idCodeSpace>
<idVersion>7.4</idVersion>
<identAuth>
<resTitle>EPSG:27700</resTitle>
<date>
<reviseDate>2021-03-18T00:00:00</reviseDate>
</date>
<citOnlineRes>
<linkage>http://www.opengis.net/def/crs/EPSG/0/27700</linkage>
<orName>OSGB36 / British National Grid</orName>
</citOnlineRes>
</identAuth>
<identCode code="27700"/>
</refSysID>
</RefSystem>
</refSysInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="FALSE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">1.000000</maxVal>
<minVal Sync="TRUE">0</minVal>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM gmlID="" type="length">
<unitSymbol>[arb'U]</unitSymbol>
</UOM>
</valUnit>
<seqID>
<aName>Band</aName>
<attributeType>
<aName>1</aName>
</attributeType>
</seqID>
</Band>
</covDim>
<trianInd>False</trianInd>
<radCalDatAv>False</radCalDatAv>
<camCalInAv>False</camCalInAv>
<filmDistInAv>False</filmDistInAv>
<lensDistInAv>False</lensDistInAv>
<attDesc>binary value identifying areas predicted to contain bracken vegetation</attDesc>
</ImgDesc>
</contInfo>
<eainfo>
<detailed>
<enttyp>
<enttypl>Bracken Classification - Scotland</enttypl>
<enttypd>Bracken extent across Scotland</enttypd>
<enttypds>Scottish Government</enttypds>
</enttyp>
</detailed>
</eainfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/4QCyRXhpZgAATU0AKgAAAAgABgESAAMAAAABAAEAAAEaAAUA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</Data>
</Thumbnail>
</Binary>
</metadata>
