We use a 4-year panel (2019–2022) of 10,125 village councils in Ukraine to estimate effects
of the war started by Russia on area and expected yield of winter crops aggregated up from …

Existing crop map** models, rely heavily on reference (calibration) data obtained from
remote sensing observations. However, the transferability of such models in space and time …

Field-scale crop monitoring is essential for agricultural management and policy making for
food security and sustainability. Automating crop classification process while elaborating a …

A timely and detailed crop-specific land cover map can support many agricultural
applications and decision makings. However, in-season crop map** over a large area is …

Given the impact of COVID-19 and the desert locust plague, the Ethiopian food security
issue has once again received widespread attention. Its food crisis requires comprehensive …

Map** smallholder fruit plantations using optical data is challenging due to morphological
landscape heterogeneity and crop types having overlap** spectral signatures …

Ground reference data are an essential prerequisite for supervised crop map**. The lack
of a low-cost and efficient ground referencing method results in pervasively limited reference …

Most crop** systems around the world are organised around few dominant crops and a
larger number of less frequent crops. While rare and infrequent crops occupy a small share …

Abstract Machine learning algorithms are a frequently used crop classification method and
have been applied to identify the distribution of various crops over regional and national …

Vegetation resources have an essential role in sustainable development due to their close
relationship with natural resource management and environmental protection. The …