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22 August 2022 Subsampling Large-Scale Digital Elevation Models to Expedite Geospatial Analyses in Coastal Regions
Kelly A. Murphy, David G. Zawada, Kimberly K. Yates
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Abstract

Murphy, K.A.; Zawada, D.G., and Yates, K.K., 2022. Subsampling large-scale digital elevation models to expedite geospatial analyses in coastal regions. Journal of Coastal Research, 38(6), 1236–1245. Coconut Creek (Florida), ISSN 0749-0208.

Large-area, high-resolution digital elevation models (DEMs) created from light detection and ranging (LIDAR) and/or multibeam echosounder data sets are commonly used in many scientific disciplines. These DEMs can span thousands of square kilometers, typically with a spatial resolution of 1 m or finer, and can be difficult to process and analyze without specialized computers and software. Such DEMs often can be subsampled to expedite analysis with negligible impact on results for large-scale geospatial analyses. Subsampling can be achieved by creating a grid of points that specify the locations from which to extract elevation values from the DEM. This paper presents a method that can be used to accurately perform subsampling of large-scale, high-resolution DEMs using GIS software. This subsampling method was applied to two LIDAR-derived DEMs encompassing 242 km2 of the northern Florida Reef Tract as an example application and to test subsampling accuracy. Results indicate that subsampling 1-m-resolution DEMs using a 2-m-spaced grid results in no significant difference in mean elevation or other basic statistics for analyses performed over multiple spatial scales ranging from 1 km2 to 242 km2.

©Coastal Education and Research Foundation, Inc. 2022
Kelly A. Murphy, David G. Zawada, and Kimberly K. Yates "Subsampling Large-Scale Digital Elevation Models to Expedite Geospatial Analyses in Coastal Regions," Journal of Coastal Research 38(6), 1236-1245, (22 August 2022). https://doi.org/10.2112/JCOASTRES-D-22-00015.1
Received: 9 February 2022; Accepted: 5 June 2022; Published: 22 August 2022
KEYWORDS
digital elevation model
Geographic Information System
high-resolution data
Submerged topography
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