Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Detection of Erosion and Progradation in the Colombian Atrato River Delta by Using Sentinel-1 Synthetic Aperture Radar Data

Rubén Darío Vásquez-Salazar
* ,
Ahmed Alejandro Cardona-Mesa
,
Juan Valdés-Quintero
,
César Anibal Olmos-Severiche
,
Luis Gómez
ORCID logo ,
Carlos M. Travieso-González
,
Jean Pierre Díaz-Paz
ORCID logo ,
Jorge E. Espinosa-Oviedo
ORCID logo ,
Lorena Diez-Rendón
ORCID logo ,
Andrés F. Garavito-González
ORCID logo ,
Esteban Vásquez-Cano
Version 1 : Received: 30 November 2023 / Approved: 1 December 2023 / Online: 1 December 2023 (05:28:45 CET)

A peer-reviewed article of this Preprint also exists.

Vásquez-Salazar, R.D.; Cardona-Mesa, A.A.; Valdés-Quintero, J.; Olmos-Severiche, C.; Gómez, L.; Travieso-González, C.M.; Díaz-Paz, J.P.; Espinosa-Ovideo, J.E.; Diez-Rendón, L.; Garavito-González, A.F.; Vásquez-Cano, E. Detection of Coastal Erosion and Progradation in the Colombian ‘Atrato River’ Delta by Using Sentinel-1 Synthetic Aperture Radar Data. Remote Sens. 2024, 16, 552. Vásquez-Salazar, R.D.; Cardona-Mesa, A.A.; Valdés-Quintero, J.; Olmos-Severiche, C.; Gómez, L.; Travieso-González, C.M.; Díaz-Paz, J.P.; Espinosa-Ovideo, J.E.; Diez-Rendón, L.; Garavito-González, A.F.; Vásquez-Cano, E. Detection of Coastal Erosion and Progradation in the Colombian ‘Atrato River’ Delta by Using Sentinel-1 Synthetic Aperture Radar Data. Remote Sens. 2024, 16, 552.

Abstract

This paper presents a methodology to detect the erosion and progradation effects in the Atrato river delta, located in the Gulf of Urabá in Colombia using SAR (Synthetic Aperture Radar) data. Other authors have studied this area by using optical images, encountering difficulties given the persistent presence of clouds in this region. SAR imagery is rescaled, despeckled, composed, classified, registered and processed to obtain a heatmap that shows the overall changes during eight years (2016–2023) in one single image. Since this technology uses microwave active signals, the presence of clouds and other environmental phenomena was not a problem, and all the images from the selected dates could be processed and analyzed. Also, detection of the dynamic processes was obtained for every period considered in this study with respect to the previous one in time, calculating areas and detecting the regions subject to the erosion and progradation processes. The multitemporal analysis performed found that the newly created mouth is the most active area for these processes, coinciding with other studies. A comparison of these findings with the Oceanic Niño Index (ONI) showed a relative delayed coupling to the erosion process and a coupling of progradation with dry and wet seasons.

Keywords

Synthetic Aperture Radar (SAR); speckle; computer vision; remote sensing; erosion; progradation; Oceanic Niño Index (ONI); Gulf of Urabá; Atrato river

Subject

Environmental and Earth Sciences, Remote Sensing

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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