<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20150922</CreaDate>
<CreaTime>10324500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<imsContentType Sync="TRUE">002</imsContentType>
<itemName Sync="FALSE">DGS_suss_thick</itemName>
<nativeExtBox>
<westBL Sync="TRUE">-8429419.127300</westBL>
<eastBL Sync="TRUE">-8354389.127300</eastBL>
<southBL Sync="TRUE">4643339.329600</southBL>
<northBL Sync="TRUE">4716209.329600</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</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/10.6'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;148923141.92838538&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20190703</SyncDate>
<SyncTime>11504700</SyncTime>
<ModDate>20190703</ModDate>
<ModTime>11504700</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ISO19139</ArcGISProfile>
</Esri>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpOrgName>Delaware Geological Survey</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(302)-831-2833</voiceNum>
</cntPhone>
<cntAddress addressType="postal">
<delPoint>University of Delaware Delaware Geological Survey Building</delPoint>
<city>Newark</city>
<adminArea>DE</adminArea>
<postCode>19716</postCode>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<rpCntInfo>
<cntPhone>
<voiceNum>(302)-831-2833</voiceNum>
</cntPhone>
<cntAddress addressType="postal">
<delPoint>University of Delaware Delaware Geological Survey Building</delPoint>
<city>Newark</city>
<adminArea>DE</adminArea>
<postCode>19716</postCode>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="005"/>
</role>
</distorCont>
</distributor>
<distTranOps>
<onLineSrc>
<linkage>http://www.udel.edu/dgs</linkage>
</onLineSrc>
</distTranOps>
<distFormat>
<formatName Sync="FALSE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">Unconfined Aquifer Thickness for Sussex County, Delaware</resTitle>
<date>
<pubDate>2006-01-01</pubDate>
</date>
<citRespParty>
<rpOrgName>Klingbeil, A. D., and Andres, A. S.</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Delaware Geological Survey</rpOrgName>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>raster digital data</fgdcGeoform>
</presForm>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This digital product contains gridded estimates of the thickness of the unconfined portion of the Columbia aquifer for Sussex County, Delaware. Mapping was supported by the Delaware Department of Natural Resources and Environmental Control and the Delaware Geological Survey. These grids were produced with the methods described in Andres and Klingbeil (2006). Additional analyses of the hydrogeologic framework and grids are also contained in that report. Briefly, the method to determine the thickness of the aquifer includes assessing the thickness of subsurface materials in descriptive and geophysical logs and using computer-based interpolation to estimate thickness across the study area. Separate grids were determined for eastern and western Sussex County and were merged and smoothed to minimize edge effects. The Thickness grids has 30-m horizontal and 1-ft vertical resolutions. REFERENCES CITED Andres, A. S., and Klingbeil, A. D., 2006, Thickness and transmissivity of the unconfined aquifer, eastern Sussex County, Delaware: Delaware Geological Survey Report of Investigations No. 70, 19 p., 1 plate.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>The dataset was developed to support hydrogeologic research, water resources evaluation, and policy and regulatory decisions for the State of Delaware.</idPurp>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<idPoC>
<rpCntInfo>
<cntPhone>
<voiceNum>(302)-831-2833</voiceNum>
</cntPhone>
<cntAddress addressType="postal">
<delPoint>University of Delaware Delaware Geological Survey Building</delPoint>
<city>Newark</city>
<adminArea>DE</adminArea>
<postCode>19716</postCode>
</cntAddress>
<cntHours>Mon - Fri; 8:00am to 4:30pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<placeKeys>
<keyword>Delaware Sussex County Bethany Beach Bethel Blades Bridgeville Dagsboro Delmar Ellendale Fenwick Island Frankford Georgetown Greenwood Henlopen Acres Laurel Lewes Milford Millsboro Millville Milton Ocean View Rehoboth Beach Seaford Selbyville Slaughter Beach South Bethany</keyword>
</placeKeys>
<themeKeys>
<keyword>transmissivity</keyword>
<keyword>geoscientificInformation</keyword>
<keyword>water table</keyword>
<keyword>ground water</keyword>
<keyword>aquifer</keyword>
</themeKeys>
<searchKeys>
<keyword>transmissivity</keyword>
<keyword>geoscientificInformation</keyword>
<keyword>water table</keyword>
<keyword>ground water</keyword>
<keyword>Delaware Sussex County Bethany Beach Bethel Blades Bridgeville Dagsboro Delmar Ellendale Fenwick Island Frankford Georgetown Greenwood Henlopen Acres Laurel Lewes Milford Millsboro Millville Milton Ocean View Rehoboth Beach Seaford Selbyville Slaughter Beach South Bethany</keyword>
<keyword>aquifer</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The Delaware Geological Survey (DGS) is constantly gathering data from multiple sources, interpreting data, and reflecting its interpretations in a variety of data formats. DGS's interpretations are conceptualized in these grids of Depth to Water for Sussex County, DE. The water table is a continuous surface; however, observations of the surface exist at irregularly spaced locations. In this instance, regularly spaced grids of water-table elevations were estimated from site-specific observational data and are the model used to represent the water-table surface. Reasonable efforts have been made by the DGS to verify that the digital data provided herein accurately interpret the source data used in its preparation. These are estimated surfaces and they may be inappropriate for some applications. Detailed site-specific investigation may be required for evaluating individual sites. Persons wishing to apply the data in these grids to more detailed scales are encouraged to contact the DGS office for advisement. Nothing contained herein shall be deemed an expressed or implied waiver of the sovereign immunity of the State of Delaware or its duly authorized representatives, agents, or employees.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<dataExt>
<exDesc>publication date</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2006-01-01</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270</envirDesc>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-75.722760</westBL>
<eastBL Sync="TRUE">-75.048754</eastBL>
<northBL Sync="TRUE">38.961857</northBL>
<southBL Sync="TRUE">38.451035</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="008"/>
</tpCat>
<idCredit/>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<evalMethDesc>30-meter resolution based on the grid cell.</evalMethDesc>
</report>
<report dimension="vertical" type="DQAbsExtPosAcc">
<evalMethDesc>The raster cell represents thickness of the unconfined aquifer in feet.</evalMethDesc>
<measResult>
<QuanResult>
<quanVal>+/- 5 feet</quanVal>
</QuanResult>
</measResult>
</report>
</dqInfo>
<eainfo>
<detailed Name="VAT_suss_thick1">
<enttyp>
<enttypl Sync="TRUE">VAT_suss_thick1</enttypl>
<enttypt Sync="TRUE">Table</enttypt>
<enttypc Sync="TRUE">242</enttypc>
<enttypd>Thickness of unconfined aquifer in feet</enttypd>
</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">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>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">Value</attrlabl>
<attalias Sync="TRUE">Value</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Thickness in feet</attrdef>
<attrvai>
<attrva>+/- 5 feet</attrva>
</attrvai>
</attr>
<attr>
<attrlabl Sync="TRUE">Count</attrlabl>
<attalias Sync="TRUE">Count</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of raster cells</attrdef>
</attr>
</detailed>
</eainfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.8(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">2429</rowcount>
<colcount Sync="TRUE">2501</colcount>
<rastxsz Sync="TRUE">30.000000</rastxsz>
<rastysz Sync="TRUE">30.000000</rastysz>
<rastbpp Sync="TRUE">32</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">FALSE</rastcmap>
<rastcomp Sync="TRUE">LZ77</rastcomp>
<rastband Sync="TRUE">1</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">SDR</rastifor>
<rastplyr Sync="TRUE">FALSE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">30.000000</absres>
<ordres Sync="TRUE">30.000000</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20190703</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
