<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20210228</CreaDate>
<CreaTime>07054800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Boundary_Area</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">341018.824800</westBL>
<eastBL Sync="TRUE">658832.699800</eastBL>
<southBL Sync="TRUE">4760824.961300</southBL>
<northBL Sync="TRUE">5245143.866200</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_UTM_Zone_19N</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/10.8'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_UTM_Zone_19N&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&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;,-69.0],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;,26919]]&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;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;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;26919&lt;/WKID&gt;&lt;LatestWKID&gt;26919&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20211227</SyncDate>
<SyncTime>06130100</SyncTime>
<ModDate>20211227</ModDate>
<ModTime>06130100</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Boundary_Area</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">-71.104597</westBL>
<eastBL Sync="TRUE">-66.897367</eastBL>
<northBL Sync="TRUE">47.359757</northBL>
<southBL Sync="TRUE">42.983479</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>To show the location of polygon features associated BRWM clean-up sites. This dataset was developed for use by MDEP BRWM staff to help understand contamination levels in and around sites, were the clean-up process is overseen by the MDEP BRWM.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;BRWM.BOUNDARY_AREA contains polygon features collected by Maine Department of Environmental Protection (MDEP) Bureau of Remediation and Waste Management (BRWM) and MDEP GIS staff, at BRWM clean-up sites. Data was complied by MDEP GIS Unit staff for the BRWM from GPS, CAD, and some screen digitized polygons. Data collection for this layer started during December 1999. The GPS'ed data has an accuracy of +/- 3 meters. CAD and digitized data has an unknown accuracy, but is believed to be better than +/- 30 meters. Polygon locations included here have only been collected for sites identified by Maine BRWM staff.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>MAINE DEP GIS UNIT</idCredit>
<searchKeys>
<keyword>Field</keyword>
<keyword>Area</keyword>
<keyword>Lot</keyword>
<keyword>Pile</keyword>
<keyword>Containment</keyword>
<keyword>Pad</keyword>
</searchKeys>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26919"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.13(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Boundary_Area">
<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="Boundary_Area">
<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="Boundary_Area">
<enttyp>
<enttypl Sync="FALSE">Boundary_Area</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">FEATURE_NA</attrlabl>
<attalias Sync="TRUE">FEATURE_NA</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">POLYGON_TY</attrlabl>
<attalias Sync="TRUE">POLYGON_TY</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">EGAD_SITE_SEQ</attrlabl>
<attalias Sync="TRUE">EGAD_SITE_SEQ</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">EGAD_SEQ</attrlabl>
<attalias Sync="TRUE">EGAD_SEQ</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SITE_DESCR</attrlabl>
<attalias Sync="TRUE">SITE_DESCR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LOCATION_A</attrlabl>
<attalias Sync="TRUE">LOCATION_A</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LOCATION_M</attrlabl>
<attalias Sync="TRUE">LOCATION_M</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">DATA_SOURC</attrlabl>
<attalias Sync="TRUE">DATA_SOURC</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MAP_REFERENCE</attrlabl>
<attalias Sync="TRUE">MAP_REFERENCE</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">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">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">20211227</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAeAB4AAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
