In recent decades, mangroves have become one of the world's most threatened and
vulnerable ecosystems due to human disturbance and climate change. Remote sensing …

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 …

Accurately quantifying functional traits across large scales is considered fundamental for the
management and conservation of existing mangrove ecosystems. In recent years, hybrid …

As the spatial resolution improvement in remotely sensed imagery, more detail spatial
information of mangrove forest can be shown. It is important to find a method, which can …

There have been efforts to restore and rehabilitate mangrove forests to compensate for their
loss or degradation. Approaches for monitoring these efforts are increasingly developed …

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

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 …

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 …

Measuring and monitoring mangrove Leaf Area Index (LAI) is an essential part of monitoring
and management of mangrove environments. This study investigated the use of ALOS …