The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …

Monitoring global biodiversity from space through remotely sensing geospatial patterns has
high potential to add to our knowledge acquired by field observation. Although a framework …

Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

Efficient methodologies for map** croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …

The study presents the preliminary results of two classification exercises assessing the
capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for map** crop types …

The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite
imagery received a major boost with the recent launch of the Sentinel-2 sensor by the …

Forest biomass is one of the key measurement for carbon budget accounting, carbon flux
monitoring, and climate change studies. Hence, it is essential to develop a credible …

Abstract Information on grassland land-use intensity (LUI) is crucial for understanding trends
and dynamics in biodiversity, ecosystem functioning, earth system science and …

This paper evaluates the ability of two machine learning algorithms, Random Forest (RF)
and Support Vector Machine (SVM), to generate land-use maps using the recently launched …

Accurate assessment of above-ground biomass (AGB) is important for the sustainable
management of forests, especially buffer zone (areas within the protected area, where …