Scholarlink

Wetlands and mangroves are among the most ecologically valuable ecosystems, providing local communities with biodiversity reservoirs, coastal protection, and livelihood support. The Ramsar site of Jiquilisco Bay, located in southeastern El Salvador, constitutes the most extensive brackish wetland in the country and one of the most extensive mangrove formations in the Pacific region of Central America. This study presents a temporal analysis of the dynamics of mangrove and wetland cover between 2017 and 2024 using open-access satellite imagery and geospatial techniques. Sentinel-2 Level-2A multispectral data was processed in QGIS using the Semi-Automatic Classification Plugin (SCP) and the Normalized Difference Vegetation Index (NDVI) was applied to estimate the health and spatial distribution of the vegetation. Raster masking and Python scripting enabled quantitative assessments across multiple temporal frames. The results indicate fluctuations in mangrove cover, with significant declines in 2019 and 2022, followed by partial recovery in 2024. These dynamics suggest anthropogenic pressures and climate variability as contributing factors. The study demonstrates the value of integrating free and open-source geospatial technologies for long-term environmental monitoring. It supports decision-making for ecological conservation and sustainable land management in Ramsar-designated zones.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Temporal Analysis of Mangrove Cover Dynamics Using Remote Sensing and GIS in the Ramsar Site of Jiquilisco Bay, El Salvador

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Omar Otoniel Flores-Cortez,
  • Carlos Osmín Pocasangre Jiménez,
  • Fernando Arévalo,
  • Raúl García Galán,
  • Samuel Hernández,
  • Miguel Zeceña Landaverde

摘要

Wetlands and mangroves are among the most ecologically valuable ecosystems, providing local communities with biodiversity reservoirs, coastal protection, and livelihood support. The Ramsar site of Jiquilisco Bay, located in southeastern El Salvador, constitutes the most extensive brackish wetland in the country and one of the most extensive mangrove formations in the Pacific region of Central America. This study presents a temporal analysis of the dynamics of mangrove and wetland cover between 2017 and 2024 using open-access satellite imagery and geospatial techniques. Sentinel-2 Level-2A multispectral data was processed in QGIS using the Semi-Automatic Classification Plugin (SCP) and the Normalized Difference Vegetation Index (NDVI) was applied to estimate the health and spatial distribution of the vegetation. Raster masking and Python scripting enabled quantitative assessments across multiple temporal frames. The results indicate fluctuations in mangrove cover, with significant declines in 2019 and 2022, followed by partial recovery in 2024. These dynamics suggest anthropogenic pressures and climate variability as contributing factors. The study demonstrates the value of integrating free and open-source geospatial technologies for long-term environmental monitoring. It supports decision-making for ecological conservation and sustainable land management in Ramsar-designated zones.