Creating a Coastal National Elevation Database (CoNED) for science and conservation applications
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Abstract
The U.S. Geological Survey is creating the Coastal National Elevation Database, an expanding set of topobathymetric elevation models that extend seamlessly across coastal regions of high societal or ecological significance in the United States that are undergoing rapid change or are threatened by inundation hazards. Topobathymetric elevation models are raster datasets useful for inundation prediction and other earth science applications, such as the development of sediment-transport and storm surge models. These topobathymetric elevation models are being constructed by the broad regional assimilation of numerous topographic and bathymetric datasets, and are intended to fulfill the pressing needs of decision makers establishing policies for hazard mitigation and emergency preparedness, coastal managers tasked with coastal planning compatible with predictions of inundation due to sea-level rise, and scientists investigating processes of coastal geomorphic change. A key priority of this coastal elevation mapping effort is to foster collaborative lidar acquisitions that meet the standards of the USGS National Geospatial Program's 3D Elevation Program, a nationwide initiative to systematically collect high-quality elevation data. The focus regions are located in highly dynamic environments, for example in areas subject to shoreline change, rapid wetland loss, hurricane impacts such as overwash and wave scouring, and/or human-induced changes to coastal topography.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Creating a Coastal National Elevation Database (CoNED) for science and conservation applications |
Series title | Journal of Coastal Research |
DOI | 10.2112/SI76-007 |
Volume | Special Issue 76 |
Year Published | 2016 |
Language | English |
Publisher | Coastal Education and Research Foundation |
Contributing office(s) | Earth Resources Observation and Science (EROS) Center, Eastern Geographic Science Center |
Description | 11 p. |
First page | 64 |
Last page | 74 |
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