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Journal article
Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
Data (Basel), v 4(1)
26 Mar 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Digital elevation models (DEMs) based on LiDAR surveys provide critical information for predicting the vulnerability of coastal areas to sea-level rises. Due to the poor penetration of LiDAR pulses in marsh vegetation, bare-earth DEMs for coastal wetlands are often subject to positive elevation bias, and thus underestimate vulnerability. This data publication includes comprehensive elevation surveys from seven coastal wetlands in coastal New Jersey, and an evaluation of the accuracy and positive elevation bias of each publically available DEM. Resampling the DEMs at a coarser resolution, replacing cell values using the minimum value in a wider search window (4 m), removed this positive elevation bias with no loss of accuracy.
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Details
- Title
- Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
- Creators
- Elizabeth Burke Watson - University of California, DavisLeeAnn Haaf - Academy of Natural Sciences of Drexel UniversityKirk Raper - Drexel UniversityErin Reilly - Barnegat Bay Partnership, Toms River, NJ 08754 USA
- Publication Details
- Data (Basel), v 4(1)
- Publisher
- Mdpi
- Number of pages
- 6
- Grant note
- NA14OAR4170085 / National Oceanic and Atmospheric Administration (NOAA) Office of Sea Grant, U.S. Department of Commerce; National Oceanic Atmospheric Admin (NOAA) - USA New Jersey Sea Grant Consortium (NJSGC) CD97207600 / U.S. EPA Region 2 Wetlands Program Development Grant
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biodiversity, Earth, and Environmental Science (BEES)
- Web of Science ID
- WOS:000464352300001
- Scopus ID
- 2-s2.0-85070828784
- Other Identifier
- 991019169588104721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems