The saturation of spectral reflectance within densely vegetated regions is a renowned
challenge that has precluded the optimal use of broad-band remotely sensed data and its …

Timely, accurate spatial information on the health of neglected and underutilised crop
species (NUS) is critical for optimising their production and food and nutrition in develo** …

Accurately assessing grassland aboveground biomass (AGB) over large areas is essential
for the conservation of grassland resource and the improvement of ecological environment …

It is important to improve the accuracy of models estimating aboveground biomass (AGB) in
large areas with complex geography and high forest heterogeneity. In this study, k-nearest …

Accurate assessment of aboveground biomass (AGB) in tropical forests, particularly within a
biodiversity hotspot, is vital for sustainable resource management and the preservation of …

The new-generation satellite imaging spectrometers provide an unprecedented data stream
to be processed into quantifiable vegetation traits. Hybrid models have gained widespread …

Estimating above-ground biomass (AGB) using machine learning (ML) algorithms and multi-
sensor satellite data is a promising approach for monitoring and managing forest resources …

The accurate estimation of forest aboveground biomass is of great significance for forest
management and carbon balance monitoring. Remote sensing instruments have been …

Forest biomass estimation is undoubtedly one of the most pressing research subjects at
present. Combining multi-source remote sensing information can give full play to the …

Forest and savanna ecosystems naturally exist as alternative stable states. The maximum
capacity of these ecosystems to absorb perturbations without transitioning to the other …