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Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning

1
Department of Biodiversity, Earth & Environmental Sciences and the Academy of Natural Sciences, Drexel University, Philadelphia, PA 19103, USA
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Partnership for the Delaware Estuary, Wilmington, DE 19801, USA
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Academy of Natural Sciences, Drexel University, Philadelphia, PA 19103, USA
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The Barnegat Bay Partnership, Toms River, NJ 08754, USA
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University of Maryland Center for Environmental Science, MD 20688, USA
*
Author to whom correspondence should be addressed.
Received: 7 March 2019 / Revised: 21 March 2019 / Accepted: 21 March 2019 / Published: 26 March 2019
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. View Full-Text
Keywords: LiDAR; post-processing; coastal marsh; signed error LiDAR; post-processing; coastal marsh; signed error
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Burke Watson, E.; Haaf, L.; Raper, K.; Reilly, E. Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning. Data 2019, 4, 46.

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