<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="it">
<Esri>
<CreaDate>20231120</CreaDate>
<CreaTime>16274700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">MARECCHIA_CONCA_PERIMETRAZIONI_ADB_RISCHIO_25833</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_ETRS_1989</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">ETRS_1989_UTM_Zone_33N</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;ETRS_1989_UTM_Zone_33N&amp;quot;,GEOGCS[&amp;quot;GCS_ETRS_1989&amp;quot;,DATUM[&amp;quot;D_ETRS_1989&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]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,15.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,25833]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&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;25833&lt;/WKID&gt;&lt;LatestWKID&gt;25833&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20240131</SyncDate>
<SyncTime>16322000</SyncTime>
<ModDate>20240131</ModDate>
<ModTime>16322000</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.1.2.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="ita"/>
<countryCode Sync="TRUE" value="ITA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Aree di rischio 2020</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idPurp>PAI – Perimetrazione delle aree di cui all'allegato 2A (Atlante delle perimetrazioni delle aree di versante a rischio - scale 1:5.000 - 1:10.000). (artt. 14, 16, NtA)</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN STYLE="font-size:12pt"&gt;Dato derivato dal Piano Stralcio di Assetto Idrogeologico dell'ex Autorità di bacino interregionale dei fiumi Marecchia e Conca (Autorità di bacino distrettuale del fiume Po) - estrazione delle porzioni nel bacino dei fiume Foglia. Interessa il comune di Sestino (AR).&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Autorità di bacino distrettuale dell'Appennino Centrale</idCredit>
<searchKeys>
<keyword>PAI frane Marecchia-Conca</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN STYLE="font-size:12pt"&gt;Italian Open Data License 2.0 - &lt;/SPAN&gt;&lt;A href="https://www.autoritadistrettoac.it/licenza-di-utilizzo-informazioni-ambientali-note-legali" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;note-legali&lt;/SPAN&gt;&lt;/A&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="ita"/>
<countryCode Sync="TRUE" value="ITA"/>
</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="25833"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.3(4.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="MARECCHIA_CONCA_PERIMETRAZIONI_ADB_RISCHIO_25833">
<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="MARECCHIA_CONCA_PERIMETRAZIONI_ADB_RISCHIO_25833">
<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="MARECCHIA_CONCA_PERIMETRAZIONI_ADB_RISCHIO_25833">
<enttyp>
<enttypl Sync="FALSE">MARECCHIA_CONCA_PERIMETRAZIONI_ADB_RISCHIO_25833</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">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">codice</attrlabl>
<attalias Sync="TRUE">codice</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">cod_adb</attrlabl>
<attalias Sync="TRUE">cod_adb</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">articolo</attrlabl>
<attalias Sync="TRUE">articolo</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">n_per</attrlabl>
<attalias Sync="TRUE">n_per</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</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">20240131</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
