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 …

This study summarizes the advances in mangrove species mapping based on multispectral
and hyperspectral imagery achieved over the last decade. The influence of species diversity …

Optimizing the classification accuracy of a mangrove forest is of utmost importance for
conservation practitioners. Mangrove forest mapping using satellite-based remote sensing …

Although studies on species-level classification and mapping using multisource data and
machine learning approaches are plenty, the use of data with ideal placement of central …

Continuum monitoring of mangrove ecosystems is required to maintain and improve upon
national mangrove conservation strategies. In particular, mangrove canopy assessments …

The interactions between local tides and river discharges are crucial in the processes
related to the recruitment of mangrove propagules in estuarine systems. This investigation …

The fine classification of mangroves plays a crucial role in enhancing our understanding of
their structural and functional aspects which has significant implications for biodiversity …

The chlorophyll content can indicate the general health of vegetation, and can be estimated
from hyperspectral data. The aim of this study is to estimate the chlorophyll content of …

In real world what we are able to see is just because of light or energy reflected or emitted
from the viewing object is falling upon retina of human eye. The variations in intensity of light …

Precise categorization of mangrove forests with medium spatial resolution satellite data is
challenging and occasionally yields mixed outcomes. The available methods to estimate …