RT journal article
T1 Assessment of the shoreline dynamics in San Andres Island: A remote sensing and EOF analysis approach
A1 Cabarcas-Mier, Angélica
A1 Rey, Wilmer
A1 Torrecillas, Cristina
A1 Paladio-Hernandez, Alejandro
A1 Cahuich-López, Miguel
A1 Salles, Paulo
A1 Muñoz Pérez, Juan José
A1 de Santos-Medina, Lucia
A1 Jigena Antelo, Bismarck
A2 Ciencias y Técnicas de la Navegación y Construcciones Navales
A2 Física Aplicada
K1 Coastsat
K1 Shoreline variability
K1 Sediment transport
K1 Satellite images
K1 Wavelet
K1 Sandy beaches
AB This study investigates the spatial and temporal variability of the shoreline of San Andres Island (SAI), located inan internationally recognized protected area in the Colombian Caribbean Sea, using Sentinel-2 satellite imagescovering six years (2015–2021). The data were downloaded using Google Earth Engine and processed with theCoastSat tool. Coastal indicators NSM, EPR, and LRR were calculated. Afterward, an Empirical OrthogonalFunctions (EOF) analysis was implemented to comprehend the favored spatial patterns of the coasts in twosignificant regions of the island and their corresponding temporal fluctuation. As a result, the statistical indicators revealed that more than 60 % of the transects displayed erosional trends in both study areas. This studyfound three prevailing patterns that account for a significant portion of the variability in the data. The first EOFmode revealed a cross-shore movement of the shoreline, as shown by a spatial structure with no crossings by zeroin the two zones analyzed. The second EOF mode had zero crossings or nodal locations, representing alongshoremovement. The third EOF mode was related to a coastal phenomenon known as "breathing," which influencedthe curvature of the coastline. The spatial variability is thus explained by the incoming waves (first and secondphase) and the beach form (third phase). For both zones, the temporal modes of variability were correlated withwave parameters and with less significance by the wind speed. Additionally, accretion and erosion patterns basedon remote sensing were generated for those zones. The insights gained from this study hold significant promisefor policymakers aiming to mitigate coastal erosion and enhance the resilience of San Andres Island. By integrating these findings into decision-making processes, effective strategies can be developed to protect and sustainthis vital coastal ecosystem for future generations.
PB Elsevier
SN 2352-4855
YR 2025
FD 2025-08-23
LK http://hdl.handle.net/10498/38173
UL http://hdl.handle.net/10498/38173
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026