<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210503</CreaDate>
<CreaTime>14261300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>This dataset primarily represents where hydraulic modeling data exists. This data is used within SARA's Digital Data and Modeling Repository (D2MR) application and corresponds to a master stream list within the application's SQL database and to the core data repository. The stream centerlines were based primiarily on work conducted during SARA's FEMA map update (DFIRM Project). Some stream centerlines correspond with the hydraulic model's stream alignment while others might be more closely related to FEMA S_Wtr_Ln feature. This dataset should only be used as an approximate repsentation of actual stream aligment.Please note that this dataset has been altered for integration with SARA Digital Data and Modeling Repository (D2MR) application.
Last Updated: 4/29/2021
Updated By: mcarhart
This map service contains core data layers that are to be used specifically in conjunction with the San Antonio River Authority's Digital Data and Modeling Repository application.</idAbs>
<searchKeys>
<keyword>D2MR</keyword>
<keyword>digial data and modeling repository</keyword>
<keyword>FEMA</keyword>
<keyword>LOMR</keyword>
<keyword>LOMC</keyword>
<keyword>map change</keyword>
</searchKeys>
<idPurp>Primary service to be used with D2MR application.</idPurp>
<idCredit>SARA</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>wse_d2mr_carto_streams</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
