The detection of clouds is one of the first steps in the pre-processing of remotely sensed
data. At coarse spatial resolution (> 100 m), clouds are bright and generally distinguishable …

Two recent global maps of tree restoration potential have identified vast regions where tree
cover could be increased, ranging from 0.9 to 2.3 billion hectares. Both maps, however …

This study employs clustering analysis to group forest management units using auxiliary,
satellite imagery-derived height metrics and past wall-to-wall tree census data from a …

Artificial intelligence and machine learning (AI/ML) have grown in popularity in recent
decades as a result of advances in high-performance computing (HPC) and open-source …

The increasing availability of very-high resolution (VHR;< 2 m) imagery has the potential to
enable agricultural monitoring at increased resolution and cadence, particularly when used …

Abstract High Mountain Asia (HMA), recognized as a third pole, needs regular and intense
studies as it is susceptible to climate change. An accurate and high-resolution Digital …

Scientific analysis of Earth's land surface change benefits from well-characterized
multispectral remotely sensed data for which models estimate and remove the effects of the …

Human-induced land cover land use (LCLU) changes such as agricultural extensification
and forest degradation and loss have extensive negative impacts including biodiversity loss …

Scientific analysis of changes of the Earth's land surface benefit from well characterized,
science quality remotely sensed data. This data quality is the result of models that estimate …

The Amhara region, in northwest Ethiopia, has a complex topography and highly fragmented
croplands (averaging half a hectare). Map** such fragmented LCLU areas requires very …