<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="nl">
  <Esri>
    <CreaDate>20250210</CreaDate>
    <CreaTime>09134200</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>FALSE</SyncOnce>
    <DataProperties>
      <itemProps>
        <itemName Sync="TRUE">KEAdroogte_Laagste_grondwaterstand_extreem_droge_zomer_huidig_2025_Regio</itemName>
        <imsContentType Sync="TRUE">002</imsContentType>
        <nativeExtBox>
          <westBL Sync="TRUE">96515.034000</westBL>
          <eastBL Sync="TRUE">119969.662000</eastBL>
          <southBL Sync="TRUE">433683.143000</southBL>
          <northBL Sync="TRUE">459508.243000</northBL>
          <exTypeCode Sync="TRUE">1</exTypeCode>
        </nativeExtBox>
        <itemLocation>
          <linkage Sync="TRUE">file://\\omgeving.local\DATA\Applications\Blizdata\Duurzaamheid\Klimaatadaptatie\Regionale Stresstesten\Regionale Stresstesten.gdb</linkage>
          <protocol Sync="TRUE">Local Area Network</protocol>
        </itemLocation>
      </itemProps>
      <coordRef>
        <type Sync="TRUE">Projected</type>
        <geogcsn Sync="TRUE">GCS_Amersfoort</geogcsn>
        <csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
        <projcsn Sync="TRUE">RD_New</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/3.1.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;RD_New&amp;quot;,GEOGCS[&amp;quot;GCS_Amersfoort&amp;quot;,DATUM[&amp;quot;D_Amersfoort&amp;quot;,SPHEROID[&amp;quot;Bessel_1841&amp;quot;,6377397.155,299.1528128]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Double_Stereographic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,155000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,463000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,5.38763888888889],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9999079],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,52.15616055555555],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,28992]]&lt;/WKT&gt;&lt;XOrigin&gt;-30515500&lt;/XOrigin&gt;&lt;YOrigin&gt;-30279500&lt;/YOrigin&gt;&lt;XYScale&gt;146716411.36275291&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;28992&lt;/WKID&gt;&lt;LatestWKID&gt;28992&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
      </coordRef>
      <lineage>
        <Process Date="20250210" Name="Clip Raster (5)" Time="091343" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip "P:\Blizdata\Duurzaamheid\Klimaatadaptatie\Regionale Stresstesten\Data\Ruwe data\KEA data 28-01-2025\KEA_2024_12\Droogte\Laagste grondwaterstand - extreem droge zomer Huidig.tif" "96515,0340000018 433683,142999999 119969,662000002 459508,242999999" "P:\Blizdata\Duurzaamheid\Klimaatadaptatie\Regionale Stresstesten\Regionale Stresstesten.gdb\KEAdroogte_Laagste_grondwaterstand_extreem_droge_zomer_huidig_2025_Regio" "P:\Blizdata\Duurzaamheid\Klimaatadaptatie\Regionale Stresstesten\Regionale Stresstesten.gdb\Regio_Regiostresstesten_ODMH" -3,402823e+38 ClippingGeometry NO_MAINTAIN_EXTENT</Process>
      </lineage>
    </DataProperties>
    <SyncDate>20250210</SyncDate>
    <SyncTime>09134200</SyncTime>
    <ModDate>20250210</ModDate>
    <ModTime>09134200</ModTime>
  </Esri>
  <dataIdInfo>
    <envirDesc Sync="TRUE">Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.1.0.41833</envirDesc>
    <dataLang>
      <languageCode Sync="TRUE" value="nld"/>
      <countryCode Sync="TRUE" value="NLD"/>
    </dataLang>
    <idCitation>
      <resTitle Sync="TRUE">Laagste grondwaterstand extreem droge zomer huidig Regio</resTitle>
      <presForm>
        <PresFormCd Sync="TRUE" value="011"/>
      </presForm>
    </idCitation>
    <spatRpType>
      <SpatRepTypCd Sync="TRUE" value="002"/>
    </spatRpType>
    <dataExt>
      <geoEle>
        <GeoBndBox esriExtentType="search">
          <exTypeCode Sync="TRUE">1</exTypeCode>
          <westBL Sync="TRUE">4.533543</westBL>
          <eastBL Sync="TRUE">4.878692</eastBL>
          <northBL Sync="TRUE">52.123663</northBL>
          <southBL Sync="TRUE">51.889554</southBL>
        </GeoBndBox>
      </geoEle>
    </dataExt>
    <idAbs/>
    <searchKeys>
      <keyword>KEA</keyword>
      <keyword>Droogte</keyword>
      <keyword>Regio</keyword>
    </searchKeys>
    <idPurp/>
    <idCredit/>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
  </dataIdInfo>
  <mdLang>
    <languageCode Sync="TRUE" value="nld"/>
    <countryCode Sync="TRUE" value="NLD"/>
  </mdLang>
  <distInfo>
    <distFormat>
      <formatName Sync="TRUE">File Geodatabase Raster Dataset</formatName>
    </distFormat>
  </distInfo>
  <mdHrLv>
    <ScopeCd Sync="TRUE" value="005"/>
  </mdHrLv>
  <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
  <refSysInfo>
    <RefSystem>
      <refSysID>
        <identCode Sync="TRUE" code="28992"/>
        <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
        <idVersion Sync="TRUE">4.5(8.0.1)</idVersion>
      </refSysID>
    </RefSystem>
  </refSysInfo>
  <spdoinfo>
    <rastinfo>
      <rasttype Sync="TRUE">Pixel</rasttype>
      <rowcount Sync="TRUE">104</rowcount>
      <colcount Sync="TRUE">94</colcount>
      <rastxsz Sync="TRUE">249,517319</rastxsz>
      <rastysz Sync="TRUE">248,318269</rastysz>
      <rastbpp Sync="TRUE">32</rastbpp>
      <vrtcount Sync="TRUE">1</vrtcount>
      <rastorig Sync="TRUE">Upper Left</rastorig>
      <rastcmap Sync="TRUE">FALSE</rastcmap>
      <rastcomp Sync="TRUE">LZ77</rastcomp>
      <rastband Sync="TRUE">1</rastband>
      <rastdtyp Sync="TRUE">pixel codes</rastdtyp>
      <rastifor Sync="TRUE">FGDBR</rastifor>
      <rastplyr Sync="TRUE">TRUE</rastplyr>
    </rastinfo>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <planci>
          <plance Sync="TRUE">row and column</plance>
          <coordrep>
            <absres Sync="TRUE">249,517319</absres>
            <ordres Sync="TRUE">248,318269</ordres>
          </coordrep>
        </planci>
      </planar>
    </horizsys>
  </spref>
  <mdDateSt Sync="TRUE">20250210</mdDateSt>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
    </Thumbnail>
  </Binary>
</metadata>
