Mapping of Agricultural Landscapes of the Outlier Forest-Steppe Based on Geoinformation Technologies and Remote Sensing of the Earth

Abstract

The search for new mechanisms of crop growing modernization was initiated by post-Soviet change of the socio-economic formation, rejection of the virgin-land holistic principle of organizing agriculture with its wheat invariant, as well as transition from the extensive zonal system to adaptive landscape and precision agriculture. Above all, this refers to agricultural landscapes of the forest steppe zone of North Kazakhstan, which is the oldest region of the country’s dryland farming. The article deals with a relevant direction of agrolandscape research – geoinformation agrolandscape mapping with the use of aerial photography materials from unmanned aerial vehicles (UAV). The aim of the work is to prepare optimal cartographic support for effective agricultural production in light of agricultural intensification in the region and depletion of natural fertility resources. Modern methods of geoinformation agrolandscape mapping have been used, their effectiveness is shown through the example of key areas. The features of the landscape structure of outlier forest steppe agrolandscapes have been identified with the help of utilitarian agroecological typology of land; the types of basic geoinformation cartographic materials to be used in precision agriculture have been defined. We consider it possible for the agrolandscape mapping experience to be extended to other farms of the region, which would ensure productive agricultural management.

Geospatial model of negative processes of agricultural land as a means of digitalization of the educational and experimental farm

“…At the same time, one of the most important aspects of modern agricultural production is the need to solve problems of optimizing the structure of land use, historically formed in the process of economic development, maintaining the optimal geo-ecological balance of environment-stabilizing and destabilizing elements in agricultural landscapes, maximizing the consideration of the characteristics of natural landscape conditions and resources of the territory. Solving this problem is impossible without a detailed and comprehensive study, mapping and modeling of landscape structure, creation of specialized databases containing detailed information about agricultural landscapes, their main components, properties, productivity and other important agroecological and agro-production characteristics and indicators necessary for the agricultural industry [2].…”