nerc.ac.uk

Open Digital Shoreline Analysis System: ODSAS v1.0

Gómez-Pazo, Alejandro; Payo, Andres; Paz-Delgado, María Victoria; Delgadillo-Calzadilla, Miguel A.. 2021 Open Digital Shoreline Analysis System: ODSAS v1.0. Journal of Marine Science and Engineering, 10 (1), 26. https://doi.org/10.3390/jmse10010026

Before downloading, please read NORA policies.
[img]
Preview
Text (Open Access Paper)
jmse-10-00026-v2.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (6MB) | Preview

Abstract/Summary

In this study, we propose a new baseline and transect method, the open-source digital shoreline analysis system (ODSAS), which is specifically designed to deal with very irregular coastlines. We have compared the ODSAS results with those obtained using the digital shoreline analysis system (DSAS). Like DSAS, our proposed method uses a single baseline parallel to the shoreline and offers the user different smoothing and spacing options to generate the transects. Our method differs from DSAS in the way that the transects’ starting points and orientation are delineated by combining raster and vector objects. ODSAS uses SAGA GIS and R, which are both free open-source software programs. In this paper, we delineate the ODSAS workflow, apply it to ten study sites along the very irregular Galician coastline (NW Iberian Peninsula), and compare it with the one obtained using DSAS. We show how ODSAS produces similar values of coastline changes in terms of the most common indicators at the aggregated level (i.e., using all transects), but the values differ when compared at the transect-by-transect level. We argue herein that explicitly requesting the user to define a minimum resolution is important to reduce the subjectivity of the transect and baseline method

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.3390/jmse10010026
ISSN: 2077-1312
Date made live: 10 Jan 2022 13:09 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/531727

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...