Assessing the vertical accuracy of digital elevation models by quality level and land cover

Author:

Han Minoo1ORCID,Enwright Nicholas M.2ORCID,Gesch Dean B.3,Stoker Jason M.4,Danielson Jeffrey J.3,Amante Christopher J.56

Affiliation:

1. Lafayette, Louisiana, Contractor to the U.S. Geological Survey, Wetland and Aquatic Research Center, Lafayette, LA, USA

2. U.S. Geological Survey, Wetland and Aquatic Research Center, Lafayette, LA, USA

3. U.S. Geological Survey, Earth Resources Observation and Science Center, Sioux Falls, SD, USA

4. U.S. Geological Survey, National Geospatial Program, Fort Collins, CO, USA

5. Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA

6. National Oceanic and Atmospheric Administration (NOAA), National Centers for Environmental Information (NCEI), Boulder, CO, USA

Funder

Office of Naval Research

National Oceanographic Partnership Program

Publisher

Informa UK Limited

Reference22 articles.

1. Estimating Coastal Digital Elevation Model Uncertainty

2. Uncertain seas: probabilistic modeling of future coastal flood zones

3. ASPRS (American Society for Photogrammetry and Remote Sensing). 2023. “Positional Accuracy Standards for Geospatial Data Edition 2 Version 1.0.” Accessed September 20 2023. https://publicdocuments.asprs.org/PositionalAccuracyStd-Ed2-V1.

4. Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts

5. Elevation-based probabilistic mapping of irregularly flooded wetlands along the northern Gulf of Mexico coast

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