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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Main Authors: Elizabeth Burke Watson, LeeAnn Haaf, Kirk Raper, Erin Reilly
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/4/1/46
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author Elizabeth Burke Watson
LeeAnn Haaf
Kirk Raper
Erin Reilly
author_facet Elizabeth Burke Watson
LeeAnn Haaf
Kirk Raper
Erin Reilly
author_sort Elizabeth Burke Watson
collection DOAJ
description 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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spelling doaj.art-c0055c8dcd0841f19935208707f233cd2022-12-22T04:24:19ZengMDPI AGData2306-57292019-03-01414610.3390/data4010046data4010046Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise PlanningElizabeth Burke Watson0LeeAnn Haaf1Kirk Raper2Erin Reilly3Department of Biodiversity, Earth & Environmental Sciences and the Academy of Natural Sciences, Drexel University, Philadelphia, PA 19103, USAPartnership for the Delaware Estuary, Wilmington, DE 19801, USAAcademy of Natural Sciences, Drexel University, Philadelphia, PA 19103, USAThe Barnegat Bay Partnership, Toms River, NJ 08754, USADigital 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.https://www.mdpi.com/2306-5729/4/1/46LiDARpost-processingcoastal marshsigned error
spellingShingle Elizabeth Burke Watson
LeeAnn Haaf
Kirk Raper
Erin Reilly
Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
Data
LiDAR
post-processing
coastal marsh
signed error
title Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
title_full Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
title_fullStr Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
title_full_unstemmed Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
title_short Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
title_sort removal of positive elevation bias of digital elevation models for sea level rise planning
topic LiDAR
post-processing
coastal marsh
signed error
url https://www.mdpi.com/2306-5729/4/1/46
work_keys_str_mv AT elizabethburkewatson removalofpositiveelevationbiasofdigitalelevationmodelsforsealevelriseplanning
AT leeannhaaf removalofpositiveelevationbiasofdigitalelevationmodelsforsealevelriseplanning
AT kirkraper removalofpositiveelevationbiasofdigitalelevationmodelsforsealevelriseplanning
AT erinreilly removalofpositiveelevationbiasofdigitalelevationmodelsforsealevelriseplanning