Abstract Land Use and Land Cover (LULC) mapping products are essential for various
environmental studies, including ecological environmental assessments, resource …

The scarcity of water encourages scientists to develop new analytical tools to enhance water
resource management. Water accounting and distributed hydrological models are examples …

Land cover (LC) is the vital foundation to Earth science. Up to now, several global LC
datasets have arisen with efforts of many scientific communities. To provide guidelines for …

Classification is a fundamental process in remote sensing used to relate pixel values to land
cover classes present on the surface. Over large areas land cover classification is …

Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of
the regions in the world with the highest rates of change in land use/land cover (LULC) in …

Land cover mapping for large regions often employs satellite images of medium to coarse
spatial resolution, which complicates mapping of discrete classes. Class memberships …

Over large areas, land cover classification has conventionally been undertaken using
satellite time series. Typically temporal metric percentiles derived from single pixel location …

Accurate information on crop distribution and its changes is important for food security and
environmental management. Although time series analysis is a widely-used and useful tool …

Land cover is one of the essential climate variables of the ESA Climate Change Initiative
(CCI). In this context, the Land Cover CCI (LC CCI) project aims at building global land cover …

Cropland abandonment is globally widespread and has strong repercussions for regional
food security and the environment. Statistics suggest that one of the hotspots of abandoned …