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

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...

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Bibliographic Details
Published inData (Basel) Vol. 4; no. 1; p. 46
Main Authors Burke Watson, Elizabeth, Haaf, LeeAnn, Raper, Kirk, Reilly, Erin
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 26.03.2019
Subjects
Accuracy
Bias
Climate change
coastal marsh
Coastal zone
Coasts
Conflicts of interest
Datasets
Digital Elevation Models
LiDAR
Metadata
Polls & surveys
post-processing
Resampling
Salinity
Sea level
signed error
Topography
Vegetation
Wetlands
United States > US
New Jersey
Online AccessGet full text
ISSN2306-5729
2306-5729
DOI10.3390/data4010046

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Summary: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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ISSN:2306-5729
2306-5729
DOI:10.3390/data4010046