ABANDONED AGRICULTURAL LAND IDENTIFICATION USING OBJECT-BASED APPROACH AND SENTINEL DATA IN THE DANUBIAN LOWLAND, SLOVAKIA
Keywords: Abandoned agricultural land, Object-based approach, Sentinel data, Random forest algorithm, Principal component analysis
Abstract. Farmland abandonment is a widespread phenomenon in different parts of the Earth especially in the countries of Central and Eastern Europe where large areas of agricultural land were left uncultivated, state-support and markets for agriculture disappeared and land reforms resulted in massive land ownership transfers following the collapse of socialism. Remote sensing and geographic information system provide powerful tools for identification and analysis of abandoned agricultural land (AAL) at various spatial and temporal scales. Here we present an approach to AAL extraction from Sentinel-1 and Sentinel-2 images, provided in the frame of the European Copernicus program. This study aims to investigate and map the spatial distribution of AAL on the foothill of Little Carpathians and in the Danubian Lowland, Slovakia. The presented case study showed the possibility of the use of Sentinel images and the object-based image analysis in the process of AAL identification that may improve the transfer of scientific knowledge to the local agri-environmental monitoring and management.