<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20180410</CreaDate>
<CreaTime>10473400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">firm_bfe_wmas</itemName>
<itemSize Sync="TRUE">0.000</itemSize>
<nativeExtBox>
<westBL Sync="TRUE">-9091231.996000</westBL>
<eastBL Sync="TRUE">-9048809.531700</eastBL>
<southBL Sync="TRUE">3455249.107500</southBL>
<northBL Sync="TRUE">3521670.302600</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<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;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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</projcsn>
</coordRef>
</DataProperties>
<SyncDate>20250203</SyncDate>
<SyncTime>14185900</SyncTime>
<ModDate>20250203</ModDate>
<ModTime>14185900</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<mdLang>
<languageCode value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<mdChar>
<CharSetCd value="004">
</CharSetCd>
</mdChar>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdContact>
<rpIndName>Flood Map Service Center</rpIndName>
<rpOrgName>Federal Emergency Management Agency</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>1-877-336-2627</voiceNum>
</cntPhone>
<cntAddress addressType="postal">
<delPoint>500 C Street, S.W.</delPoint>
<city>Washington</city>
<adminArea>District of Columbia</adminArea>
<postCode>20472</postCode>
<country>US</country>
<eMailAdd>mscservices@riskmapcds.com</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007">
</RoleCd>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20250203</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<rpOrgName>FEMA, Flood Map Service Center</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>1-877-336-2627</voiceNum>
</cntPhone>
<cntAddress addressType="postal">
<delPoint>P.O. Box 3617</delPoint>
<city>Oakton</city>
<adminArea>Virginia</adminArea>
<postCode>22124</postCode>
<country>US</country>
<eMailAdd>mscservices@riskmapcds.com</eMailAdd>
</cntAddress>
<cntInstr>Data requests must include the name and FIPS code of each State or Territory covered by the request, along with an MSC account number if applicable.</cntInstr>
</rpCntInfo>
<role>
<RoleCd value="005">
</RoleCd>
</role>
</distorCont>
<distorOrdPrc>
<resFees>Contact Distributor</resFees>
</distorOrdPrc>
<distorFormat>
<formatName>Esri Shapefile</formatName>
</distorFormat>
<distorTran>
<onLineSrc>
<linkage>http://msc.fema.gov</linkage>
</onLineSrc>
</distorTran>
<distorTran>
<onLineSrc>
<linkage>http://msc.fema.gov</linkage>
</onLineSrc>
</distorTran>
</distributor>
<distTranOps>
<onLineSrc>
<linkage>https://msc.fema.gov</linkage>
</onLineSrc>
</distTranOps>
<distFormat>
<formatName Sync="FALSE">Web Layer</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">Base Flood Elevation</resTitle>
<date>
<pubDate>2019-01-26</pubDate>
</date>
<resEd>Version 1.1.1.0</resEd>
<citRespParty>
<rpOrgName>Federal Emergency Management Agency</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>Washington, D.C.</delPoint>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="010">
</RoleCd>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Federal Emergency Management Agency</rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
</citRespParty>
<presForm>
<fgdcGeoform>FEMA-NFHL</fgdcGeoform>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;This dataset contains lines representing location and attributes for Base Flood Elevations lines shown on FIRM. &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idPurp>The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards, " Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP. The FIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The FIRM Database serves to archive the information collected during the Flood Risk Project.</idPurp>
<idCredit>Federal Emergency Management Agency (FEMA)</idCredit>
<idStatus>
<ProgCd value="007">
</ProgCd>
</idStatus>
<idPoC>
<rpOrgName>Federal Emergency Management Agency</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>1-877-336-2627</voiceNum>
</cntPhone>
<cntAddress addressType="postal">
<delPoint>500 C Street, S.W.</delPoint>
<city>Washington</city>
<adminArea>District of Columbia</adminArea>
<postCode>20472</postCode>
<country>US</country>
<eMailAdd>mscservices@riskmapcds.com</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007">
</RoleCd>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="005">
</MaintFreqCd>
</maintFreq>
</resMaint>
<placeKeys>
<keyword>Utah</keyword>
<keyword>Wyoming</keyword>
<keyword>Indiana</keyword>
<keyword>Arizona</keyword>
<keyword>District of Columbia</keyword>
<keyword>Wisconsin</keyword>
<keyword>Missouri</keyword>
<keyword>Kentucky</keyword>
<keyword>Hawaii</keyword>
<keyword>Pennsylvania</keyword>
<keyword>West Virginia</keyword>
<keyword>South Dakota</keyword>
<keyword>Nevada</keyword>
<keyword>U.S. Minor Islands</keyword>
<keyword>Alaska</keyword>
<keyword>Vermont</keyword>
<keyword>Delaware</keyword>
<keyword>Oregon</keyword>
<keyword>Mississippi</keyword>
<keyword>Arkansas</keyword>
<keyword>Palau</keyword>
<keyword>New Jersey</keyword>
<keyword>Oklahoma</keyword>
<keyword>Louisiana</keyword>
<keyword>Iowa</keyword>
<keyword>Texas</keyword>
<keyword>Washington</keyword>
<keyword>Florida</keyword>
<keyword>Ohio</keyword>
<keyword>New York</keyword>
<keyword>Georgia</keyword>
<keyword>Northern Mariana Islands</keyword>
<keyword>North Dakota</keyword>
<keyword>Massachusetts</keyword>
<keyword>Maryland</keyword>
<keyword>Rhode Island</keyword>
<keyword>Kansas</keyword>
<keyword>Virginia</keyword>
<keyword>Montana</keyword>
<keyword>California</keyword>
<keyword>American Samoa</keyword>
<keyword>Alabama</keyword>
<keyword>Colorado</keyword>
<keyword>Nebraska</keyword>
<keyword>Federated State of Micronesia</keyword>
<keyword>South Carolina</keyword>
<keyword>North Carolina</keyword>
<keyword>Virgin Islands</keyword>
<keyword>Connecticut</keyword>
<keyword>Minnesota</keyword>
<keyword>Puerto Rico</keyword>
<keyword>Illinois</keyword>
<keyword>Maine</keyword>
<keyword>Guam</keyword>
<keyword>Michigan</keyword>
<keyword>New Mexico</keyword>
<keyword>Marshall Islands</keyword>
<keyword>Idaho</keyword>
<keyword>Tennessee</keyword>
<keyword>New Hampshire</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>FEMA NFIP Topic Category</resTitle>
</thesaName>
<keyword>NFIP</keyword>
<keyword>CBRS</keyword>
<keyword>Special Flood Hazard Area</keyword>
<keyword>Riverine Flooding</keyword>
<keyword>Coastal Barrier Resources System</keyword>
<keyword>Base Flood Elevation</keyword>
<keyword>Floodway</keyword>
<keyword>FEMA Flood Hazard Zone</keyword>
<keyword>Coastal Flooding</keyword>
<keyword>SFHA</keyword>
<keyword>FIRM</keyword>
<keyword>Flood Insurance Rate Map</keyword>
<keyword>FIRM Database</keyword>
</themeKeys>
<themeKeys>
<thesaName>
<resTitle>NGDA Portfolio Themes</resTitle>
</thesaName>
<keyword>National Geospatial Data Asset</keyword>
<keyword>NGDA</keyword>
<keyword>Elevation Theme</keyword>
</themeKeys>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Category</resTitle>
</thesaName>
<keyword>environment</keyword>
<keyword>transportation</keyword>
<keyword>structure</keyword>
<keyword>elevation</keyword>
<keyword>hydrology</keyword>
<keyword>inlandWaters</keyword>
</themeKeys>
<searchKeys>
<keyword>Elevation Theme</keyword>
<keyword>structure</keyword>
<keyword>NFIP</keyword>
<keyword>Special Flood Hazard Area</keyword>
<keyword>FIRM Database</keyword>
<keyword>Riverine Flooding</keyword>
<keyword>FIRM</keyword>
<keyword>National Geospatial Data Asset</keyword>
<keyword>inlandWaters</keyword>
<keyword>environment</keyword>
<keyword>FEMA Flood Hazard Zone</keyword>
<keyword>NGDA</keyword>
<keyword>Floodway</keyword>
<keyword>SFHA</keyword>
<keyword>Base Flood Elevation</keyword>
<keyword>Coastal Flooding</keyword>
<keyword>Flood Insurance Rate Map</keyword>
<keyword>Coastal Barrier Resources System</keyword>
<keyword>CBRS</keyword>
<keyword>Hydrology</keyword>
<keyword>Transportation</keyword>
<keyword>Elevation</keyword>
<keyword>Environment</keyword>
<keyword>Growth Management</keyword>
<keyword>Planning</keyword>
<keyword>St. Johns County</keyword>
<keyword>Florida</keyword>
<keyword>Southeast</keyword>
<keyword>United States</keyword>
<keyword>North America</keyword>
<keyword>St. Augustine</keyword>
</searchKeys>
<resConst>
<LegConsts>
<useLimit>No warranty expressed or implied is made by FEMA regarding the utility of the data on any other system nor shall the act of distribution constitute any such warranty.</useLimit>
</LegConsts>
</resConst>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The hardcopy FIRM and FIRM Database and the accompanying FIS are the official designation of SFHAs and Base Flood Elevations (BFEs) for the NFIP. For the purposes of the NFIP, changes to the flood risk information published by FEMA may only be performed by FEMA and through the mechanisms established in the NFIP regulations (44 CFR Parts 59-78). These digital data are produced in conjunction with the hardcopy FIRMs and generally match the hardcopy map exactly. Acknowledgement of FEMA would be appreciated in products derived from these data.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001">
</SpatRepTypCd>
</spatRpType>
<dataLang>
<languageCode value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270</envirDesc>
<dataExt>
<exDesc>Publication Date</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2019-01-26</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>-81.691926</westBL>
<eastBL>-81.208545</eastBL>
<southBL>29.621685</southBL>
<northBL>30.253713</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-81.667927</westBL>
<eastBL Sync="TRUE">-81.286839</eastBL>
<northBL Sync="TRUE">30.140870</northBL>
<southBL Sync="TRUE">29.623528</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="007">
</TopicCatCd>
</tpCat>
<tpCat>
<TopicCatCd value="017">
</TopicCatCd>
</tpCat>
<tpCat>
<TopicCatCd value="006">
</TopicCatCd>
</tpCat>
<tpCat>
<TopicCatCd value="018">
</TopicCatCd>
</tpCat>
<tpCat>
<TopicCatCd value="012">
</TopicCatCd>
</tpCat>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005">
</ScopeCd>
</scpLvl>
</dqScope>
<report type="DQConcConsis">
<measDesc>When FEMA revises an FIS, adjacent studies are checked to ensure agreement between flood elevations at the boundaries. Likewise flood elevations at the confluence of streams studied independently are checked to ensure agreement at the confluence. The FIRM and the FIS are developed together and care is taken to ensure that the elevations and other features shown on the flood profiles in the FIS agree with the information shown on the FIRM. However, the elevations as shown on the FIRM may represent rounded whole-foot elevations. They must be shown so that a profile recreated from the elevations on the FIRM will match the FIS profiles within one half of one foot.</measDesc>
</report>
<report type="DQCompOm">
<measDesc>Data contained in the NFHL reflects the content of the source materials. Features may have been eliminated or generalized on the source graphic, due to scale and legibility constraints. With new mapping, FEMA plans to maintain full detail in the spatial data it produces. However, older information is often transferred from existing maps where some generalization has taken place. Flood risk data are developed for communities participating in the NFIP for use in insurance rating and for floodplain management. Flood hazard areas are determined using statistical analyses of records of river flow, storm tides, and rainfall; information obtained through consultation with the communities; floodplain topographic surveys; and hydrological and hydraulic analysis. Generally, regulatory water surface elevations and/or regulatory floodways are published only for developed or developing areas of communities. For areas where little or no development is expected to occur, FEMA may generate flood risk data without published water surface elevations. Typically, only drainage areas that are greater than one square mile and with an average of one foot of flood depth or greater are studied. Note: The NFHL reflects the most current information available when the distribution data set was created. Currently, not all areas of a State or Territory have effective FIRM Database data. As a result, users may need to refer to the effective FIRM for effective flood hazard information.</measDesc>
</report>
<report type="DQQuanAttAcc">
<measDesc>The NFHL incorporates all FIRM Databases published by FEMA and any LOMRs that have been issued against those databases since their publication date. The NFHL consists of vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and FIRM Database are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Standards for Flood Risk Analysis and Mapping. Attribute accuracy was tested by manual comparison of source graphics with hardcopy plots and a symbolized display on an interactive computer graphic system. Independent quality control testing of the individual FIRM Database components of the NFHL was also performed. To obtain more detailed information in areas where Base Flood Elevations (BFEs) and/or floodways have been determined, users are encouraged to consult the Flood Profiles and Floodway Data and/or Summary of Stillwater Elevations tables contained within the FIS reports that accompany the individual FIRM Database components of the NFHL. Users should be aware that BFEs shown in the S_BFE table may represent rounded whole-foot elevations. These BFEs are intended for flood insurance rating purposes only and should not be used as the sole source of flood elevation information. Accordingly, flood elevation data presented in the FIS report must be used in conjunction with the FIRM for purposes of construction and/or floodplain management. The 1-percent-annual-chance water-surface elevations shown in the S_XS table match the regulatory elevations shown in the FIS report.</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>The NFHL consists of vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and FIRM Database are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Standards for Flood Risk Analysis and Mapping. Horizontal accuracy was tested by manual comparison of source graphics with hardcopy plots and a symbolized display on an interactive computer graphic system. Independent quality control testing of the individual FIRM Database components of the NFHL was also performed.</measDesc>
</report>
<report dimension="vertical" type="DQAbsExtPosAcc">
<measDesc>The NFHL consists of vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and FIRM Database are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Standards for Flood Risk Analysis and Mapping. The reliability of the floodplain boundary delineation is quantified by comparing the computed flood elevation to the ground elevation at the mapped floodplain boundary. The tolerance for how precisely the flood elevation and the ground elevation must match varies based on the flood risk class, which is a function of population, population density, and/or anticipated growth in floodplain areas. A horizontal accuracy of +/- 38 feet is used to determine the compliance with the vertical tolerances defined for each risk class. The range of differences between the ground elevation (defined from the topographic data used for the Flood Risk Project) and the computed flood elevation is between +/- 1.0 foot at the 95% confidence interval for areas with high population within the floodplain and/or high anticipated growth and Special Flood Hazard Areas (SFHAs) with high flood risk to +/- one-half the contour interval at the 85% confidence interval for areas with low population and densities within the floodplain and small or no anticipated growth and SFHAs with low flood risk. Independent quality control testing of the individual FIRM Database components of the NFHL was also performed.</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>The NFHL dataset is a compilation of effective FIRM Databases (a collection of the digital data that are used in GIS systems for creating new Flood Insurance Rate Maps) and Letters of Map Change (Letters of Map Amendment and Letters of Map Revision only) that create a seamless GIS data layer for a State or Territory. It is updated on a monthly basis. The FIRM Databases are compiled in conjunction with the hardcopy FIRMs and the final FIS reports. The specifics of the hydrologic and hydraulic analyses performed are detailed in the FIS reports available for each jurisdiction. The results of these studies are submitted in digital format to FEMA. These data and unrevised data from effective FIRMs are compiled onto the base map used for FIRM publication and checked for accuracy and compliance with FEMA standards. As new FIRM Databases are received the individual FIRM layers are sewn into the nationwide layers of the NFHL. LOMRs for the FIRM Databases in the NFHL are cut directly into the NFHL data layers as they are being produced and finalized.</stepDesc>
<stepDateTm>2015-01-30</stepDateTm>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="firm_bfe_wmas">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">925</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="firm_bfe_wmas">
<enttyp>
<enttypl Sync="FALSE">firm_bfe_wmas</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">925</enttypc>
</enttyp>
<attr>
<attrlabl>SOURCE_CIT</attrlabl>
<attalias Sync="TRUE">SOURCE_CIT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">11</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE_Leng</attrlabl>
<attalias Sync="TRUE">SHAPE_Leng</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>Shape</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">BFE_LN_ID</attrlabl>
<attalias Sync="TRUE">BFE_LN_ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">25</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ELEV</attrlabl>
<attalias Sync="TRUE">ELEV</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>DFIRM_ID</attrlabl>
<attalias Sync="TRUE">DFIRM_ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">6</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<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>
</attr>
<attr>
<attrlabl>V_DATUM</attrlabl>
<attrdef>Vertical Datum used to determine BFE.</attrdef>
<attalias Sync="TRUE">V_DATUM</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">17</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>LEN_UNIT</attrlabl>
<attrdef>Units used to determine BFE.</attrdef>
<attalias Sync="TRUE">LEN_UNIT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">16</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>VERSION_ID</attrlabl>
<attalias Sync="TRUE">VERSION_ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">11</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>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>
<overview>
<eaover>The NFHL is made up of several data themes containing both spatial and attribute information. These data together represent the current flood risk for the subject area as identified by FEMA. The attribute tables include SFHA locations, flood zone designations, BFEs, political entities, cross-section locations, FIRM panel information, and other data related to the NFIP.</eaover>
</overview>
</eainfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.8(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="firm_bfe_wmas">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="3">
</efeageom>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">925</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
