Forest aboveground biomass (AGB) is crucial as it serves as a fundamental indicator of the
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …

Conventional measurement methods for above-ground biomass (AGB) are time-consuming,
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …

Background Fast and accurate forest aboveground biomass (AGB) estimation and mapping
is the basic work of forest management and ecosystem dynamic investigation, which is of …

Accurately characterizing carbon stock is vital for reporting carbon emissions from forest
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …

Feature selection (FS) can increase the accuracy of forest aboveground biomass (AGB)
prediction from multiple satellite data and identify important predictors, but the role of FS in …

Land cover classification in semiarid areas is a difficult task that has been tackled using
different strategies, such as the use of normalized indices, texture metrics, and the …

Forests offer significant climate mitigation benefits, but existing emissions reduction
assessment methodologies in forest-based mitigation activities are not scalable, which limits …

Poplar (PopulusL.) is one of the most widely distributed tree species planted in the plains of
China and plays an important role in wood products and ecological services. Accurate …

ABSTRACT The Global Ecosystem Dynamics Investigation (GEDI) is expected to
revolutionize the quantification of aboveground carbon at continental scales, through its …

Mapping wall-to-wall forest aboveground biomass (AGB) at large scales is critical for
understanding global climate change and the carbon cycle. In previous studies, a regression …