20240124
16334700
1.0
TRUE
TRUE
slr_0ft
Mean Higher High Water Inundation<br /><br />
This dataset was created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation'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.<br /><br />
The purpose of this dataset is to show inundation from current Mean Higher High Water (MHHW) for the area. Tiles have been cached down to Level ID 15 (1:18,055).<br /><br />
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). 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 "as is," 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.<br /><br />
For more information visit the Sea Level Rise Impacts Viewer (http://coast.noaa.gov/slr).
Sea Level Rise
Bathymetry/Topography
Shoreline
Inundation
NOAA Office for Coastal Management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==