Abstract Advancement in Remote Sensing allows rapid mangrove mapping without the need
for data-intensive methodologies, complex classifiers, and skill-dependent classification …

Mangrove forests in Iran are highly productive and complex ecosystems since they
represent the interface between land and sea. They are a unique environment for supporting …

Overdependence on and exploitation of forest resources have significantly transformed the
natural reserve forest of Sundarban, which shares the largest mangrove territory in the …

Mangrove forests have been globally recognised as their vital functions in preventing
coastal erosion, mitigating effects of wave actions and protecting coastal habitats and …

Currently, remote sensing platforms provide state-of-the-art data for multiple purposes
including applications related to coastal wetlands. Mangrove above-ground biomass …

This research investigated the performance of four different machine learning supervised
image classifiers: artificial neural network (ANN), decision tree (DT), random forest (RF), and …

This study aimed to map the status of mangrove forests over the coasts of Hai Ha District and
Mong Cai City in Quang Ninh Province by using 2019 Landsat-8 imagery. It then developed …

Microplastic (MP) pollution is an emerging problem in many areas around the world and in
coastal areas of Vietnam, requiring more studies dedicated to the accumulation of this …

Mangrove forests are intertidal wetland with a diverse assemblage of trees, shrubs and
palms growing along tropical and subtropical coastlines. Effective mapping of mangrove …

Estimated results of 17 plots evenly distributed across study sites showed that the amount of
tree carbon stocks was significantly lower than in soil, normally ranged from 9.9÷ 29.55 (tons …