<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="pt">
<Esri>
<CreaDate>20251202</CreaDate>
<CreaTime>10110400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">CATI_RES_SMA_146_CBRN_2017</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
</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/3.5.0'&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;-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;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>
</DataProperties>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<SyncDate>20251202</SyncDate>
<SyncTime>14301700</SyncTime>
<ModDate>20251202</ModDate>
<ModTime>14301700</ModTime>
</Esri>
<dataIdInfo>
<idPurp>Identificador: {A8F5AA31-3E9F-4A23-B20C-1BBC7A453E5E}
Tipo do Recurso: Serviço Geográfico
Responsável:
Nome da organização: CMAPPB/CBRN/SMA
Função: Autor
Informações de contato:
E-mail: car_cm@sp.gov.br
Data do metadado: 06/02/2014
Nome metadado padrão: ISO 19139/19115 Metadata for Datasets
Versão do Perfil do Metadado: 2003</idPurp>
<idCitation>
<resTitle>RES_SMA_146_CBRN_2017</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<searchKeys>
<keyword>CBRN</keyword>
<keyword>Resolução</keyword>
<keyword>2017</keyword>
<keyword>SMA</keyword>
</searchKeys>
<envirDesc Sync="FALSE">Esri ArcGIS 13.5.3.57366</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</dataLang>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
<mdDateSt Sync="TRUE">20251202</mdDateSt>
<mdLang>
<languageCode Sync="TRUE" value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<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="CATI_RES_SMA_146_CBRN_2017">
<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="CATI_RES_SMA_146_CBRN_2017">
<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="CATI_RES_SMA_146_CBRN_2017">
<enttyp>
<enttypl Sync="FALSE">CATI_RES_SMA_146_CBRN_2017</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">objectid</attrlabl>
<attalias Sync="TRUE">FID</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">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">shape</attrlabl>
<attalias Sync="TRUE">shape</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">st_area(shape)</attrlabl>
<attalias Sync="TRUE">st_area(shape)</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">st_length(shape)</attrlabl>
<attalias Sync="TRUE">st_length(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
</metadata>
