Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …

The study of grasslands using machine learning (ML) methods combined with
proximal/remote sensing data (RS) has been steadily increasing in the last decades …

Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …

This review is divided into three main sections. The first section of this overview examines in
detail recent techno-economic analyses on the utilization of biomass as a source of syngas …

The objective of this research is to test Sentinel-1 SAR multitemporal data, supported by
multispectral and SAR data at other wavelengths, for fine-scale map** of above-ground …

Above-ground Biomass (AGB) represents the largest amount of biomass found on earth.
Passive and active remote sensors have been a useful tool in estimating AGB for this …

Abstract The Brazilian Atlantic Forest is a highly heterogeneous biome of global ecological
significance with high levels of terrestrial carbon stocks and aboveground biomass (AGB) …

Forest aboveground biomass (AGB) is a prime forest parameter that requires global level
estimates to study the global carbon cycle. Light detection and ranging (LiDAR) is the state …

Accurate estimates of forest aboveground biomass (AGB) are essential for global carbon
cycle studies and have widely relied on approaches using spectral and structural …

The increase and optimization of urban vegetation has been considered an effective
mitigation measure of an urban heat island (UHI), with positive effects on human thermal …