<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20231121</CreaDate>
<CreaTime>10362500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">gisdb.pmsbs.uso_macrozona_rural_2026</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">Server=192.168.40.6; Service=sde:postgresql:192.168.40.6; Database=gisdb; User=pmsbs; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
</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/3.3.0'&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;-399.99999999999994&lt;/XOrigin&gt;&lt;YOrigin&gt;-399.99999999999994&lt;/YOrigin&gt;&lt;XYScale&gt;1000000000.0000001&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;8.9831528411952133e-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="20231121" Time="103627" ToolSource="c:\users\victor.medina\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures uso_macrozona_rural_2023 I:\Victor\Pavimentação\Pavimentação\gisbd.sde\gisdb.pmsbs.B060_SoE_Uso_Cobertura\gisdb.pmsbs.uso_macrozona_rural_2023 # # # #</Process>
<Process Date="20260824" Time="150903" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures uso_macrozona_rural_2026 M:\VICTOR\Revisao_PD_2025\Revisao_PD_2025.gdb\Ajuste_Microzoneamento\uso_macrozona_rural_2026 # # # #</Process>
<Process Date="20260824" Time="151319" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures uso_macrozona_rural_2026 M:\VICTOR\Revisao_PD_2025\PostgreSQL-192-gisdb(pmsbs).sde\gisdb.pmsbs.B060_SoE_Uso_Cobertura\gisdb.pmsbs.uso_macrozona_rural_2026 # # # #</Process>
</lineage>
</DataProperties>
<SyncDate>20260824</SyncDate>
<SyncTime>15131800</SyncTime>
<ModDate>20260824</ModDate>
<ModTime>15131800</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 26200) ; Esri ArcGIS 13.3.0.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">uso_macrozona_rural_2026</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<idPurp>Macrozona Rural de São Bento do Sul oriundo dos ajustes na lei do plano diretor e de ordenamento territorial realizado no ano de 2026</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<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="gisdb.pmsbs.uso_macrozona_rural_2026">
<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="gisdb.pmsbs.uso_macrozona_rural_2026">
<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">TRUE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="gisdb.pmsbs.uso_macrozona_rural_2026">
<enttyp>
<enttypl Sync="TRUE">gisdb.pmsbs.uso_macrozona_rural_2026</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">objectid</attrlabl>
<attalias Sync="TRUE">OBJECTID</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">zona</attrlabl>
<attalias Sync="TRUE">Zona</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ca_basico</attrlabl>
<attalias Sync="TRUE">CA Básico</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">ca_adicional</attrlabl>
<attalias Sync="TRUE">CA Adicional</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">to_basica</attrlabl>
<attalias Sync="TRUE">TO Básica</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">to_adicional</attrlabl>
<attalias Sync="TRUE">TO Básica Adicional</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">altura_max_pav</attrlabl>
<attalias Sync="TRUE">Altura Máxima (Pav)</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">altura_max_adicional_pav</attrlabl>
<attalias Sync="TRUE">Altur máxima Adicional (OODC ou TDC) (Pav)</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">tg_ventilação_iluminação</attrlabl>
<attalias Sync="TRUE">Tg de Ventilação e Iluminação</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">afast_frontal_min_m</attrlabl>
<attalias Sync="TRUE">Afastamento Frontal Mínimo (m)</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">afast_lat_fundos_min_m</attrlabl>
<attalias Sync="TRUE">Afastamento Lateral de Fundos Mínimos (m)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">taxa_impermeabilizacao</attrlabl>
<attalias Sync="TRUE">Taxa de Impermeabilização</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">cota_terreno_uha_m2</attrlabl>
<attalias Sync="TRUE">Cota Terreno/UHA (m²)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">area_min_terreno_m2</attrlabl>
<attalias Sync="TRUE">Parcelamento - Área Minima de Terreno (m²)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">testada_min_m</attrlabl>
<attalias Sync="TRUE">Parcelamento - Testada Mínima (m)</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">profundidade_min_m</attrlabl>
<attalias Sync="TRUE">Parcelamento - Profundidade Mínima (m)</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">consultar_obs</attrlabl>
<attalias Sync="TRUE">Consultar Observações</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">globalid</attrlabl>
<attalias Sync="TRUE">globalid</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">zona_nome</attrlabl>
<attalias Sync="TRUE">Zona - Nome</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</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>
<mdDateSt Sync="TRUE">20260824</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
