To accurately estimate leaf area index (LAI) in mangrove areas, the selection of appropriate
models and predictor variables is critical. However, there is a major challenge in quantifying …

Accurate estimation of mangrove leaf area index (LAI) is fundamental for effective mangrove
ecosystem management and protection. Remote sensing technology has showed its …

Leaf area index (LAI) is a vital parameter reflecting vegetation structure, physio‐ecological
process and growth development. Accurate estimation of mangrove LAI is fundamental for …

The increasing development pressures from urbanization, aquaculture and tourism on
worldwide coastal environments and the ecosystem services that mangroves provide make …

Abstract Unmanned Aerial Vehicle (UAV) remote sensing has opened the door to new
sources of data to effectively characterize vegetation metrics at very high spatial resolution …

The high-precision estimation of mangrove leaf area index (LAI) using a deep learning
regression algorithm (DLR) always requires a large amount of training sample data …

Discriminating between vegetation and non-vegetation areas is of crucial importance in the
study of mangroves. This will help mangrove monitoring and management since losses and …

Aboveground biomass estimation (AGB) is essential in determining the environmental and
economic values of mangrove forests. Biomass prediction models can be developed …

Leaf area index (LAI) is an important biophysical trait for forest ecosystem and ecological
modeling, as it plays a key role for the forest productivity and structural characteristics. The …

Mangrove forests provide vital ecosystem services. The increasing threats to mangrove
forest extent and fragmentation can be monitored from space. Accurate spatially explicit …