Rapid Remote Sensing Assessment of Impacts from Hurricane Iota on the Coral Reef Geomorphic Zonation in Providencia

Hernando Antonio Hernández Hamón; Paula Andrea Zapata Ramirez; Rafael Esteban Vasquez Moncayo; Carlos Alejandro Zuluaga Toro; Juan David Santana Mejía; Marcela Cano

Rapid Remote Sensing Assessment of Impacts from Hurricane Iota on the Coral Reef Geomorphic Zonation in Providencia

Título traducido de la contribución: Evaluación rápida por teledetección de los impactos del huracán Iota en la zonación geomórfica del arrecife de coral de Providencia

Hernando Antonio Hernández Hamón (Autor estudiante de doctorado), Paula Andrea Zapata Ramirez (Co-autor), Rafael Esteban Vasquez Moncayo (Co-autor), Carlos Alejandro Zuluaga Toro (Co-autor), Juan David Santana Mejía (Co-autor), Marcela Cano (Co-autor)

Grupo de Automática y Diseño A+D

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo de libro resultado de investigación › revisión exhaustiva

Resumen

This study assesses Hurricane Iota’s impact on Providencia island’s reef environments, using Google Earth Engine, Satellite Derived Bathymetry, and machine learning to calculate a supervised classification process to delineate six geomorphic reef units. Results reveal dynamic changes, including erosion in the Lagoon unit (4.47% pre-Iota, 2.27% post-Iota), loss on the Back Reef (38.14%), and Rock Terrace (6.15%). Reef Ridge showed minimal change, acting as an effective wave barrier. Back Reef and the deep Rock Terrace experienced significant erosion (−3 to −14 m) to the northeast, with sedimentary dynamics observed in deeper units (up to 22 m). The high thematic accuracies found (Kappa 99%) illustrate the effectiveness of the assessment to (i) map the reef rapidly, (ii) provide tools for long-term monitoring of changes over time and (iii) improve management strategies and decision-making

Título traducido de la contribución	Evaluación rápida por teledetección de los impactos del huracán Iota en la zonación geomórfica del arrecife de coral de Providencia
Idioma original	Inglés
Título de la publicación alojada	Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve
Lugar de publicación	Singapur
Editorial	Springer
Páginas	69-87
Edición	1
ISBN (versión digital)	978-981-97-6662-8, 978-981-97-6663-5
ISBN (versión impresa)	978-981-97-6665-9
Estado	Publicada - 27 nov. 2024

Tipos de Productos Minciencias

Capítulos en libro resultado de investigación

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

https://link.springer.com/chapter/10.1007/978-981-97-6663-5_4

Citar esto

Hernández Hamón, H. A., Zapata Ramirez, P. A., Vasquez Moncayo, R. E., Zuluaga Toro, C. A., Santana Mejía, J. D., & Cano, M. (2024). Rapid Remote Sensing Assessment of Impacts from Hurricane Iota on the Coral Reef Geomorphic Zonation in Providencia. En Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve (1 ed., pp. 69-87). Springer. https://link.springer.com/chapter/10.1007/978-981-97-6663-5_4

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abstract = "This study assesses Hurricane Iota{\textquoteright}s impact on Providencia island{\textquoteright}s reef environments, using Google Earth Engine, Satellite Derived Bathymetry, and machine learning to calculate a supervised classification process to delineate six geomorphic reef units. Results reveal dynamic changes, including erosion in the Lagoon unit (4.47% pre-Iota, 2.27% post-Iota), loss on the Back Reef (38.14%), and Rock Terrace (6.15%). Reef Ridge showed minimal change, acting as an effective wave barrier. Back Reef and the deep Rock Terrace experienced significant erosion (−3 to −14 m) to the northeast, with sedimentary dynamics observed in deeper units (up to 22 m). The high thematic accuracies found (Kappa 99%) illustrate the effectiveness of the assessment to (i) map the reef rapidly, (ii) provide tools for long-term monitoring of changes over time and (iii) improve management strategies and decision-making",

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Hernández Hamón, HA, Zapata Ramirez, PA , Vasquez Moncayo, RE , Zuluaga Toro, CA, Santana Mejía, JD & Cano, M 2024, Rapid Remote Sensing Assessment of Impacts from Hurricane Iota on the Coral Reef Geomorphic Zonation in Providencia. En Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve. 1 ed., Springer, Singapur, pp. 69-87. <https://link.springer.com/chapter/10.1007/978-981-97-6663-5_4>

Rapid Remote Sensing Assessment of Impacts from Hurricane Iota on the Coral Reef Geomorphic Zonation in Providencia. / Hernández Hamón, Hernando Antonio (Autor estudiante de doctorado); Zapata Ramirez, Paula Andrea (Co-autor); Vasquez Moncayo, Rafael Esteban (Co-autor) et al.
Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve. 1. ed. Singapur: Springer, 2024. p. 69-87.

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo de libro resultado de investigación › revisión exhaustiva

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T1 - Rapid Remote Sensing Assessment of Impacts from Hurricane Iota on the Coral Reef Geomorphic Zonation in Providencia

AU - Zapata Ramirez, Paula Andrea

AU - Vasquez Moncayo, Rafael Esteban

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AU - Santana Mejía, Juan David

AU - Cano, Marcela

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N2 - This study assesses Hurricane Iota’s impact on Providencia island’s reef environments, using Google Earth Engine, Satellite Derived Bathymetry, and machine learning to calculate a supervised classification process to delineate six geomorphic reef units. Results reveal dynamic changes, including erosion in the Lagoon unit (4.47% pre-Iota, 2.27% post-Iota), loss on the Back Reef (38.14%), and Rock Terrace (6.15%). Reef Ridge showed minimal change, acting as an effective wave barrier. Back Reef and the deep Rock Terrace experienced significant erosion (−3 to −14 m) to the northeast, with sedimentary dynamics observed in deeper units (up to 22 m). The high thematic accuracies found (Kappa 99%) illustrate the effectiveness of the assessment to (i) map the reef rapidly, (ii) provide tools for long-term monitoring of changes over time and (iii) improve management strategies and decision-making

AB - This study assesses Hurricane Iota’s impact on Providencia island’s reef environments, using Google Earth Engine, Satellite Derived Bathymetry, and machine learning to calculate a supervised classification process to delineate six geomorphic reef units. Results reveal dynamic changes, including erosion in the Lagoon unit (4.47% pre-Iota, 2.27% post-Iota), loss on the Back Reef (38.14%), and Rock Terrace (6.15%). Reef Ridge showed minimal change, acting as an effective wave barrier. Back Reef and the deep Rock Terrace experienced significant erosion (−3 to −14 m) to the northeast, with sedimentary dynamics observed in deeper units (up to 22 m). The high thematic accuracies found (Kappa 99%) illustrate the effectiveness of the assessment to (i) map the reef rapidly, (ii) provide tools for long-term monitoring of changes over time and (iii) improve management strategies and decision-making

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