Interest in knowing more about the Earth's land cover and how it has changed over time
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …

Big data with its vast volume and complexity is increasingly concerned, developed and used
for all professions and trades. Remote sensing, as one of the sources for big data, is …

Soil erosion affects land qualities and water resources. This problem is severe in Ethiopia
due to its topographic features. The present research was aimed to estimate spatiotemporal …

The ability to use digital remotely sensed data for forest inventory is often limited by the
nature of the measures, which, with the exception of multi-angular or stereo observations …

Reducing carbon emissions from deforestation and degradation in develo** countries is
of central importance in efforts to combat climate change. Key scientific challenges must be …

Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …

A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve
the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained …

Mid-infrared fiber sources, emitting between 2.5 µm and 5.0 µm, are interesting for their
great potential in several application fields such as material processing, biomedicine …

Maps of burned area have been obtained from an automatic algorithm applied to a
multitemporal series of Landsat TM/ETM+ images in two Mediterranean sites. The proposed …

In the context of reducing emissions from deforestation and forest degradation (REDD) and
the international effort to reduce anthropogenic greenhouse gas emissions, a reliable …