Assessment of the impact of Hurricane Lorena (2019) on the mangrove forest of Espiritu Santo archipelago, Mexico using Sentinel-2 imagery
Submitted: 2024-05-15
|Accepted: 2024-09-13
|Published: 2024-10-28
Copyright (c) 2024 Daniel A. Robles-Archundia, Juan Manuel López-Vivas, Karla León-Cisneros, Francisco Vargas-Betancourt, María Mónica Lara-Uc, José Luis Hernández-Stefanoni, Luis Ángel Hernández-Martínez
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Keywords:
conservation, vegetation indices, islands, monitoring, remote sensing
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Abstract:
Mangrove ecosystems are a priority for conservation. They provide diverse ecosystem services and are key in the life cycle of many species. However, they are threatened by various productive activities and natural phenomena such as hurricanes, which impact the coasts causing damage to the vegetation. Monitoring the effects of hurricane impact on mangroves is a complex task since many resources are needed to access the devastated sites and conduct evaluations over large areas. Therefore, remote sensing products represent tools with great potential to assess the most vulnerable areas. In this study, the impact of Hurricane Lorena which hit the archipelago of Espiritu Santo, BCS, in the summer of 2019 was evaluated. Two Sentinel-2 satellite images taken before (09/09/2019) and after (09/24/2019) the hurricane passed were used. Four vegetation indices (VI) related to photosynthetic activity and canopy moisture content were calculated. In addition, ΔVI was calculated for each index, which represents the proportional reduction of the VI value after the impact. The results showed a general increase in the values of the four VI throughout the study area. The category of hurricane Lorena, which confers a lower wind speed and the precipitation associated with this meteor, could explain the increase in the values of the VI. The differentiated response among the four VI shows the importance of using more than one indicator in studies assessing the impact of natural phenomena on coastal vegetation.
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