Identification of early abandonment in cropland through radar‐based coherence data and application of a Random‐Forest model

In the context of increased pressures on land for food and non-food production, it is relevant to understand better, which resources have become unused abandoned where these lands are. Data are what their extend not collected in regular statistics. this paper, we present an approach detect signs abandonment cropping using radar coherence data. The methodology was tested Spanish regions Albacete Soria agricultural a common process. results show that detection data works well region arable lands. radar-based analysis relatively simple method early longer term state can therefore be applied once developed further other larger areas EU serious needs monitoring policy response. applicability Emilia Romagna (Italy) shows there still challenges overcome make more widely applicable detecting environmental zones Europe. Lack reliable training validation data, like Land Parcel Identification Systems one respect.