<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="nl">
<Esri>
<CreaDate>20230131</CreaDate>
<CreaTime>18313800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<ArcGISProfile>ISO19139</ArcGISProfile>
<DataProperties>
<itemProps>
<imsContentType export="False"/>
</itemProps>
</DataProperties>
</Esri>
<dataIdInfo>
<idPurp>Gewaspercelen uit de BRP van 2022.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Dit bestand bevat de percelen uit de BRP-gewaspercelen 2021 &lt;/SPAN&gt;&lt;SPAN&gt;ingedeeld naar teelt typen &lt;/SPAN&gt;&lt;SPAN&gt;in de &lt;/SPAN&gt;&lt;SPAN&gt;p&lt;/SPAN&gt;&lt;SPAN&gt;rovincie Groningen&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCitation>
<resTitle>BRP_Gewaspercelen2022Teeltgebieden</resTitle>
<citId uri="">
<identCode>90bcb42a-9953-4125-bd5d-e0abceed2aa7</identCode>
</citId>
<resAltTitle>GEOWERK.NEOG_Gewaspercelen2021_Teeltgebieden</resAltTitle>
<date>
<createDate>20230131</createDate>
</date>
<resEd>2021</resEd>
<datasetSeries>
<seriesName>NEOG</seriesName>
</datasetSeries>
</idCitation>
<dataLang>
<languageCode value="dut"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>6.168894</westBL>
<eastBL>7.236520</eastBL>
<southBL>52.836372</southBL>
<northBL>53.470802</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Geen gebruiksbeperkingen&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<otherKeys>
<thesaName>
<resTitle>Interprovinciale thesaurus</resTitle>
<date>
<pubDate>2019-07-06</pubDate>
</date>
</thesaName>
<keyword>LANDBOUWGRONDEN</keyword>
<keyword>AKKERBOUW</keyword>
</otherKeys>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataScale>
<equScale>
<rfDenom>1000</rfDenom>
</equScale>
</dataScale>
<idPoC>
<rpIndName>Klant Advies en Informatie / Datamanagement</rpIndName>
<rpOrgName>Rijksdienst voor Ondernemend Nederland (RVO)</rpOrgName>
<rpCntInfo>
<cntAddress addressType="">
<city>Assen</city>
<adminArea>Drenthe</adminArea>
<eMailAdd>https://www.rvo.nl/contactformulier-wssl</eMailAdd>
<country>NL</country>
<delPoint>Postbus 322</delPoint>
<postCode>9400 AH</postCode>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">+31 6 48 07 30 13 </voiceNum>
</cntPhone>
<cntOnlineRes>
<linkage>www.rvo.nl</linkage>
</cntOnlineRes>
</rpCntInfo>
<role>
<RoleCd value="003"/>
</role>
<rpPosName>Geo-data</rpPosName>
<displayName>Rijksdienst voor Ondernemend Nederland (RVO) / Klant Advies en Informatie / Datamanagement</displayName>
</idPoC>
<tpCat>
<TopicCatCd value="001"/>
</tpCat>
<searchKeys>
<keyword>BRP</keyword>
<keyword>gewasperdelen</keyword>
<keyword>2022</keyword>
</searchKeys>
<idCredit/>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<custom>
<validationProfile>ISO</validationProfile>
<initialized>True</initialized>
</custom>
<mdLang>
<languageCode Sync="TRUE" value="dut"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdStanName>ISO 19115</mdStanName>
<mdStanVer>Nederlands metadata profiel op ISO 19115 voor geografie 2.1.0</mdStanVer>
<mdDateSt Sync="TRUE">20230131</mdDateSt>
<refSysInfo>
<RefSystem dimension="">
<refSysID>
<identCode code="https://www.opengis.net/def/crs/EPSG/0/28992"/>
<idCodeSpace>EPSG</idCodeSpace>
</refSysID>
</RefSystem>
</refSysInfo>
<mdFileID>23b7789d-8f24-4267-9490-f32a628cf330</mdFileID>
<mdContact>
<rpIndName>Datateam Beleid</rpIndName>
<rpOrgName>Provincie Groningen</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">050-3164911</voiceNum>
</cntPhone>
<cntAddress addressType="">
<delPoint>Sint Jansstraat 4</delPoint>
<city>Groningen</city>
<adminArea>Groningen</adminArea>
<postCode>9712 JN</postCode>
<country>NL</country>
<eMailAdd>geoportaal@provinciegroningen.nl</eMailAdd>
</cntAddress>
<cntOnlineRes>
<linkage>https://www.provinciegroningen.nl/</linkage>
</cntOnlineRes>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
<rpPosName>Geo-team</rpPosName>
<displayName>Provincie Groningen / Datateam Beleid</displayName>
</mdContact>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<dataLineage>
<statement>Deze kaartlaag is tot stand gekomen door een groepering van gewas typen uit de volgende datasets
BRP gewaspercelen (RVO 2021)
</statement>
<prcStep>
<stepDesc>BRP is afgesneden op grens provincie Groningen
Er is gegroepeerd in CAT_GEWAS en gedeeld in NEOG_INDELING</stepDesc>
<stepDateTm>2023-01-31T18:45:13</stepDateTm>
</prcStep>
</dataLineage>
</dqInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
