Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …

Cropping patterns are defined as the sequence and spatial arrangement of annual crops on
a piece of land. Knowledge of cropping patterns is crucial for crop production and land-use …

Accurate and reliable information on the spatial distribution of major crops is needed for
detecting possible production deficits with the aim of preventing food security crises and …

Land-cover plays an important role in the Earth's energy balance, the hydrological cycle,
and the carbon cycle. Therefore, it is important to evaluate the current global land-cover …

Global cropland expansion over the last century caused widespread habitat loss and
degradation. Establishment of protected areas aims to counteract the loss of habitats and to …

Accurate estimation of cropping intensity (CI), an indicator of food production, is well aligned
with the ongoing efforts to achieve sustainable development goals (SDGs) under …

Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …

State-of-the-art cloud computing platforms such as Google Earth Engine (GEE) enable
regional-to-global land cover and land cover change mapping with machine learning …

Crop type classification is critical for crop production estimation and optimal water allocation.
Crop type data are challenging to generate if crop reference data are lacking, especially for …

Food production data—such as crop, livestock, aquaculture and fisheries statistics—are
critical to achieving multiple sustainable development goals. However, the lack of reliable …