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

Hernando Antonio Hernández Hamón (Author doctoral student), Paula Andrea Zapata Ramirez (Co-author), Rafael Esteban Vasquez Moncayo (Co-author), Carlos Alejandro Zuluaga Toro (Co-author), Juan David Santana Mejía (Co-author), Marcela Cano (Co-author)

Automatic and Design

Research output: Chapter in Book/Report/Conference proceeding › Book chapter as a result of research › peer-review

Abstract

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

Translated title of the contribution	Evaluación rápida por teledetección de los impactos del huracán Iota en la zonación geomórfica del arrecife de coral de Providencia
Original language	English
Title of host publication	Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve
Place of Publication	Singapur
Publisher	Springer
Pages	69-87
Edition	1
ISBN (Electronic)	978-981-97-6662-8, 978-981-97-6663-5
ISBN (Print)	978-981-97-6665-9
State	Published - 27 Nov 2024

Types Minciencias

Capítulos en libro resultado de investigación

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

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. In 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",

author = "{Hern{\'a}ndez Ham{\'o}n}, {Hernando Antonio} and {Zapata Ramirez}, {Paula Andrea} and {Vasquez Moncayo}, {Rafael Esteban} and {Zuluaga Toro}, {Carlos Alejandro} and {Santana Mej{\'i}a}, {Juan David} and Marcela Cano",

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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. in Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve. 1 edn, 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 (Author doctoral student); Zapata Ramirez, Paula Andrea (Co-author); Vasquez Moncayo, Rafael Esteban (Co-author) et al.
Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve. 1. ed. Singapur: Springer, 2024. p. 69-87.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter as a result of research › peer-review

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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

AU - Zuluaga Toro, Carlos Alejandro

AU - Santana Mejía, Juan David

AU - Cano, Marcela

A2 - Hernández Hamón, Hernando Antonio

PY - 2024/11/27

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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

M3 - Capítulo de libro resultado de investigación

SN - 978-981-97-6665-9

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BT - Climate Change Adaptation and Mitigation in the Seaflower Biosphere Reserve

PB - Springer

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