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.
Subsampling large-scale digital elevation models to expedite geospatial analyses in coastal regions
Journal of Coastal Research
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Abstract
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Subsampling large-scale digital elevation models to expedite geospatial analyses in coastal regions |
| Series title | Journal of Coastal Research |
| DOI | 10.2112/JCOASTRES-D-22-00015.1 |
| Volume | 38 |
| Issue | 6 |
| Year Published | 2022 |
| Language | English |
| Publisher | BioOne |
| Contributing office(s) | St. Petersburg Coastal and Marine Science Center |
| Description | 10 p. |
| First page | 1236 |
| Last page | 1245 |
| Google Analytic Metrics | Metrics page |