<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20250530</CreaDate>
<CreaTime>08183900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">PEUS.amb_geo_unid_geomorfo_mg</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">Server=172.31.12.203; Service=sde:sqlserver:172.31.12.203,15010; Database=dbSIG; User=peus; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">-134783.154600</westBL>
<eastBL Sync="TRUE">1050597.689800</eastBL>
<southBL Sync="TRUE">7464579.725100</southBL>
<northBL Sync="TRUE">8426456.949900</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_SIRGAS_2000</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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;GEOGCS[&amp;quot;GCS_SIRGAS_2000&amp;quot;,DATUM[&amp;quot;D_SIRGAS_2000&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4674]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;999999999.99999988&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;8.983152841195215e-09&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;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4674&lt;/WKID&gt;&lt;LatestWKID&gt;4674&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20240328" Name="" Time="135524" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass" export="">FeatureClassToFeatureClass ide_0203_mg_unid_geomorfologicas_pol S:\DADOS_PROCESSADOS\134_JUIZ_FORA\SUPORTE\20240328_unidades_geologicas\unidades.gdb geo_unidade_geomorfologica # "id1 "id1" true true false 19 Double 0 19 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,id1,-1,-1;cd_fcim "cd_fcim" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,cd_fcim,-1,-1;leg_carga "leg_carga" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,leg_carga,-1,-1;nm_dominio "nm_dominio" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,nm_dominio,-1,-1;nm_regiao "nm_regiao" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,nm_regiao,-1,-1;id_unidade "id_unidade" true true false 19 Double 0 19 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,id_unidade,-1,-1;nm_unidade "nm_unidade" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,nm_unidade,-1,-1;letra_simb "letra_simb" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,letra_simb,-1,-1;categoria "categoria" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,categoria,-1,-1;natureza "natureza" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,natureza,-1,-1;caract "caract" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,caract,-1,-1;forma "forma" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,forma,-1,-1;dens_dren "dens_dren" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,dens_dren,-1,-1;aprof_inci "aprof_inci" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,aprof_inci,-1,-1;niv_alt "niv_alt" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,niv_alt,-1,-1;leg_sup "leg_sup" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,leg_sup,-1,-1;cd_leg_sup "cd_leg_sup" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,cd_leg_sup,-1,-1;legenda "legenda" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,legenda,-1,-1;compartime "compartime" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,compartime,-1,-1;cd_comp_id "cd_comp_id" true true false 33 Double 15 32 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,cd_comp_id,-1,-1;cd_dominio "cd_dominio" true true false 33 Double 15 32 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,cd_dominio,-1,-1;cd_unid_id "cd_unid_id" true true false 33 Double 15 32 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,cd_unid_id,-1,-1;geocodigo "geocodigo" true true false 254 Text 0 0 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,geocodigo,-1,-1;ar_poli_km "ar_poli_km" true true false 33 Double 15 32 ,First,#,ide_0203_mg_unid_geomorfologicas_pol,ar_poli_km,-1,-1" #</Process>
<Process Date="20240328" Name="" Time="144606" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidade Geomorfológica" fonte 'IBGE' PYTHON_9.3 #</Process>
<Process Date="20240328" Name="" Time="144617" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidade Geomorfológica" ano 2023 PYTHON_9.3 #</Process>
<Process Date="20250114" Name="" Time="134619" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" ano "2017" VB #</Process>
<Process Date="20250122" Name="" Time="084438" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" letra_simbologia 'N/A' PYTHON_9.3 #</Process>
<Process Date="20250122" Name="" Time="084834" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" categoria 'N/A' PYTHON_9.3 #</Process>
<Process Date="20250122" Name="" Time="085002" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" natureza 'N/A' PYTHON_9.3 #</Process>
<Process Date="20250122" Name="" Time="085036" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" caracteristica 'N/A' PYTHON_9.3 #</Process>
<Process Date="20250122" Name="" Time="085051" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" forma 'N/A' PYTHON_9.3 #</Process>
<Process Date="20250122" Name="" Time="085126" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" densidade_drenagem 'S/I' PYTHON_9.3 #</Process>
<Process Date="20250122" Name="" Time="085314" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" aprofundamento_incisoes 'S/I' PYTHON_9.3 #</Process>
<Process Date="20250122" Name="" Time="085711" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Unidades Geomorfológicas (MG)" nivel_altimetrico 'S/I' PYTHON_9.3 #</Process>
<Process Date="20250529" Time="170350" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.4.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=S:\DADOS_PROCESSADOS\134_JUIZ_FORA\ENTREGAS\P4_ENTREGA8_FINAL\AMBIENTAL.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;amb_geo_unid_geomorfo_mg&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;nro&lt;/field_name&gt;&lt;field_alias&gt;Nro&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20250728" Time="164844" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures C:\Users\sepur\Downloads\BANCO\P4_DADOS_PEUs_8.gdb\amb_geo_unid_geomorfo_mg C:\Users\sepur\AppData\Roaming\ESRI\Desktop10.8\ArcCatalog\SISURB_peus.sde\PEUS.produto_4_versao_final\PEUS.amb_geo_unid_geomorfo_mg # # # #</Process>
</lineage>
</DataProperties>
<SyncDate>20250728</SyncDate>
<SyncTime>16482500</SyncTime>
<ModDate>20250728</ModDate>
<ModTime>16482500</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification GML3.2</ArcGISstyle>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 13.1.0.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">amb_geo_unid_geomorfo_mg</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-51.176913</westBL>
<eastBL Sync="TRUE">-39.639302</eastBL>
<northBL Sync="TRUE">-14.161279</northBL>
<southBL Sync="TRUE">-22.926833</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idCredit>Instituto Brasileiro de Geografia e Estatística - IBGE (2017).</idCredit>
<searchKeys>
<keyword>Geomorfologia</keyword>
<keyword>Minas Gerais</keyword>
</searchKeys>
<idPurp>Apresentar as unidades geomorfológicas de Minas Gerais.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Camada contendo a caracterização das unidades &lt;/SPAN&gt;&lt;SPAN&gt;geomorfológicas &lt;/SPAN&gt;&lt;SPAN&gt;do estado de Minas Gerais.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4674"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.11(9.2.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="PEUS.amb_geo_unid_geomorfo_mg">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="PEUS.amb_geo_unid_geomorfo_mg">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="PEUS.amb_geo_unid_geomorfo_mg">
<enttyp>
<enttypl Sync="TRUE">PEUS.amb_geo_unid_geomorfo_mg</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">ID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">nro</attrlabl>
<attalias Sync="TRUE">Nro</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Geometria</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">codigo_folha_cim</attrlabl>
<attalias Sync="TRUE">Código.Folha.CIM</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">legenda_completa</attrlabl>
<attalias Sync="TRUE">Legenda.Completa</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">nome_dominio</attrlabl>
<attalias Sync="TRUE">Nome.Domínio</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">nome_regiao</attrlabl>
<attalias Sync="TRUE">Nome.Região</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">id_unidade</attrlabl>
<attalias Sync="TRUE">ID.Unidade</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">nome_unidade</attrlabl>
<attalias Sync="TRUE">Nome.Unidade</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">letra_simbologia</attrlabl>
<attalias Sync="TRUE">Letra.Simbologia</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">categoria</attrlabl>
<attalias Sync="TRUE">Categoria</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">natureza</attrlabl>
<attalias Sync="TRUE">Natureza</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">caracteristica</attrlabl>
<attalias Sync="TRUE">Característica</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">forma</attrlabl>
<attalias Sync="TRUE">Forma</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">densidade_drenagem</attrlabl>
<attalias Sync="TRUE">Densidade.Drenagem</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">aprofundamento_incisoes</attrlabl>
<attalias Sync="TRUE">Aprofundamento.Incisões</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">nivel_altimetrico</attrlabl>
<attalias Sync="TRUE">Nível.Altimétrico</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">legenda_superior</attrlabl>
<attalias Sync="TRUE">Legenda.Superior</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">codigo_legenda_superior</attrlabl>
<attalias Sync="TRUE">Código.Legenda.Superior</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">legenda</attrlabl>
<attalias Sync="TRUE">Legenda</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">compartimento</attrlabl>
<attalias Sync="TRUE">Compartimento</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">codigo_compartimento</attrlabl>
<attalias Sync="TRUE">Código.Compartimento</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">codigo_dominio</attrlabl>
<attalias Sync="TRUE">Código.Domínio</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">codigo_unidade</attrlabl>
<attalias Sync="TRUE">Código.Unidade</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">geocodigo</attrlabl>
<attalias Sync="TRUE">Geocódigo</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">fonte</attrlabl>
<attalias Sync="TRUE">Fonte</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">150</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ano</attrlabl>
<attalias Sync="TRUE">Ano</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">5</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">shape.STArea()</attrlabl>
<attalias Sync="TRUE">shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">shape.STLength()</attrlabl>
<attalias Sync="TRUE">shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20250728</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA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</Data>
</Thumbnail>
</Binary>
</metadata>
