In order to increase the efficiency of land use- and territorial planning, cartographic materials of various thematic contents are required. In the article, the authors propose a methodology of assessing and mapping the favorability of the natural and agricultural potential of landscapes for agricultural use to increase its efficiency using GIS technologies. It is proposed to obtain information on landscapes by means of geoecological assessment, including a multivariate mathematical-cartographic, and spatial analysis of landscape conditions for sustainable environment-friendly agricultural production. Geoecological conditions make an integral indicator of the natural and agricultural landscape. To assess the land for agricultural production, maps are used, according to which the quality of the land plot is determined through the convolution of normalized indicators of the territory’s favorability, while the map is created in the GIS environment of spatially-linked information on the degree of the agro-resource suitability and geoecological conditions for agricultural production. Indicators of agro-resource and geoecological state of landscapes were established. The first ones include the agroclimatic potential and soil bonitet, and the second - the ecological and geochemical resistance of soils to acidification, erosion, ecosystem diversity of the territory, the density of the hydrographic network, the depth of groundwater, and the erosion potential of the relief. The developed technique is tested on Volkhov landscape of Leningrad oblast. The aim of the research is to develop a methodology for assessing and mapping the natural and agricultural potential of landscapes in the GIS environment and to test it on the territory of the region.
Translated title of the contributionMETHODS OF ASSESSING AND MAPPING THE NATURAL AND AGRICULTURAL POTENTIAL OF LANDSCAPES
Original languageRussian
Pages (from-to)11-20
Number of pages10
JournalГЕОДЕЗИЯ И КАРТОГРАФИЯ
Volume975
Issue number9
DOIs
StatePublished - Sep 2021

    Scopus subject areas

  • Geophysics
  • Earth-Surface Processes
  • Computers in Earth Sciences

ID: 86184926