Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

In May 2019, Collection 2 of the Copernicus Global Land Cover layers was released. Next to
a global discrete land cover map at 100 m resolution, a set of cover fraction layers is …

Forecasting crop yields is important for food security, in particular to predict where crop
production is likely to drop. Climate records and remotely-sensed data have become …

Land-cover (LC) mapping in a morphologically heterogeneous landscape area is a
challenging task since various LC classes (eg, crop types in agricultural areas) are …

Satellite Earth observations (EO) can provide affordable and timely information for assessing
crop conditions and food production. Such monitoring systems are essential in Africa, where …

Agricultural land area is increasing globally despite the loss of productive agricultural lands
in some world regions. We examine the case of Africa where the knowledge about major …

Operational crop yield forecasting services typically provides crop yield forecasts based on
regression models between official yields and agro-environmental variables, among which …

Non-point source pollution is a major factor in excessive nutrient pollution that can result in
the eutrophication. Land use/land cover (LULC) change, as a result of urbanization and …

Accurate and timely land cover products are critical inputs for landscape planning, and
provide key information for biodiversity conservation and food security. However, poor …

Phytophthora species are oomycete plant pathogens that cause great economic and
ecological impacts. The Phytophthora genus includes over 180 known species, infecting a …