Abstract

Farmland abandonment (FLA) could be defined as the cessation of agricultural activities on a given surface of land (Pointereau et al., 2008). FLA, often associated with social and economic problems in rural areas, has significant environmental consequences. During the 1990s, millions of hectares of farmland in the new EU Member States, from Central and Eastern Europe, were abandoned as a result of the transition process from centralized and planned to market economy. The policy tools adopted gradually within the Common Agricultural Policy of the European Union (EU CAP), as well as the EU environmental and structural policies, aimed to prevent further expansion of this phenomenon and to facilitate the revival of the agriculture land, being abandoned (ComReg 1122/2009). The Agri-Environment (AGRI-ENV) component of the Core Information Service (CIS), developed within the scope of the FP7-funded project “geoland2” were designed to support the agricultural user community at pan-European and national levels by contributing to the improvement of more accurate and timely monitoring of the status of agricultural land use in Europe and its change. The purpose of the product ‘Farmland abandonment’, as part of the AGRI-ENV package, is to detect potentially abandoned agriculture land, based on multi-annual SPOT data with several acquisitions per year. It provides essential independent information on the status of the agricultural land as recorded in the Land Parcel Identification System (LPIS), which is one of the core instruments of the implementation of CAP. The production line is based on object-based image analysis and benefits from the extensive availability of Biophysical parameters derived from the satellite data (geoland2). The method detects/tracks those land (or so-called reference) parcels in the LPIS, holding significant amount of land agriculture found as potentially abandoned. Reference parcels with such change are flagged and reported, enabling the National Administrations to further analyze the spatial distribution and magnitude of this phenomenon at regional and national levels. Test results have been successfully generated for one test area (the Bulgarian part of the Strymunas-Struma River Basin).

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