Integrating Landsat and Sentinel Data to Map Mangroves and Estimate Biomass and Carbon Stocks in Ca Mau, Vietnam

Abstract

Wetlands are among the most important ecosystems on Earth, playing an essential role in biodiversity conservation, water purification, carbon sequestration, and oxygen production for the atmosphere. In the context of increasingly severe climate change, monitoring and assessing these areas has become critically important. Remote sensing has long been widely applied in the monitoring of natural resources and the environment, especially with the support of freely available data sources such as Landsat and Sentinel. This study focuses on the use of multispectral remote sensing data from Landsat 8 and Sentinel-2 to identify coastal mangrove forest areas in Ca Mau, Vietnam. By calculating vegetation indices such as NDVI, NDWI, etc., the research team estimated above-ground biomass, carbon storage, carbon sequestration capacity, and oxygen concentration. The results include the generation of spatial distribution maps of mangrove forests, as well as maps of carbon and oxygen reserves. These findings contribute to the effective monitoring, conservation, and management of wetland ecosystems, while also providing essential input data for climate and environmental studies in Vietnam.