The short revisit time of the Sentinel-2 (S2) constellation entails a large availability of remote
sensing data, but S2 data have been rarely used to predict soil organic carbon (SOC) …

Cloud detection in optical remote sensing images is a crucial problem because undetected
clouds can produce misleading results in the analyses of surface and atmospheric …

This study focuses on the comparison of hybrid methods of estimation of biophysical
variables such as leaf area index (LAI), leaf chlorophyll content (LCC), fraction of absorbed …

Forest ecosystems are increasingly subject to disturbances, such as extreme (climate)
events, fires and pathological outbreaks, which exert significant (and still poorly quantified) …

The most commonly used approach to estimate soil variables from remote-sensing data
entails time-consuming and expensive data collection including chemical and physical …

The China GaoFen-5 (GF-5) satellite sensor, which was launched in 2018, collects
hyperspectral data with 330 spectral bands, a 30 m spatial resolution, and 60 km swath …

Evolution in the Copernicus Space Component is foreseen in the mid-2020s to meet priority
user needs not addressed by the existing infrastructure, and/or to reinforce existing services …

Laboratory spectroscopy has proved its reliability for estimating soil organic carbon (SOC)
by exploiting the relationship between electromagnetic radiation and key spectral features of …

Natura 2000 is the largest coordinated network of protected areas in the world, which has
been established to preserve rare habitats and threatened species at the European …

Land use is one of the drivers of land-cover change (LCC) and represents the conversion of
natural to artificial land cover. This work aims to describe the land-take-monitoring activities …