<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240124</CreaDate>
<CreaTime>16334700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>slr_1ft</resTitle>
</idCitation>
<idAbs>1ft Sea Level Rise Inundation
This dataset was created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management&amp;#39;s efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation&amp;#39;s coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios.
The purpose of this dataset is to show potential sea level rise inundation of 1 ft above current Mean Higher High Water (MHHW) for the area. Tiles have been cached down to Level ID 15 (1:18,055).
This dataset illustrates the scale of potential flooding, not the exact location, and does not account for erosion, subsidence, or future construction. Inundation is shown as it would appear during the highest high tides (excludes wind driven tides) with the sea level rise amount. The dataset should be used only as a screening-level tool for management decisions. As with all remotely sensed data, all features should be verified with a site visit. The dataset is provided &amp;#34;as is,&amp;#34; without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.
For more information visit the Sea Level Rise Impacts Viewer (http://coast.noaa.gov/slr).</idAbs>
<searchKeys>
<keyword>Sea Level Rise</keyword>
<keyword>Bathymetry/Topography</keyword>
<keyword>Shoreline</keyword>
<keyword>Inundation</keyword>
</searchKeys>
<idPurp/>
<idCredit>NOAA Office for Coastal Management</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
