MULTI-TEMPORAL BIOMASS ESTIMATION IN MANGROVES USING MULTISPECTRAL INDICES

Mangroves are tropical and subtropical coastal ecosystems characterized by the presence of trees adapted to life in saline environments. They are recognized for their great capacity to store biomass, capture, and store carbon, directly contributing to combating the effects of climate change. Given the importance of this topic, the general objective of this research was to evaluate, using orbital images, the biomass data of Brazilian mangroves in relation to anthropogenic action from 2016 to 2022. The study was conducted in the mangrove area of Todos os Santos Bay (BTS), located in the state of Bahia. BTS is notable for housing one of the most extensive and ecologically important mangrove areas in Brazil. The research results revealed a general trend of declining biomass per hectare until 2020, followed by significant recovery in the subsequent years, demonstrating the resilience of mangroves to climatic variations and anthropogenic pressure. The correlation analysis between biomass and climatic variables, such as precipitation and temperature, did not reveal significant linear correlations. Finally, the results reinforce the need for robust public policies and effective conservation actions to preserve mangroves, which play a vital role in mitigating climate change and maintaining coastal biodiversity.