METHODOLOGICAL APPROACHES TO ASSESSING THE CONDITION OF RURAL AREAS

Currently, for the agro-industrial complex development, it is necessary to apply new modern methodological approaches. Among the variety of methods, it is advisable to choose those methodological approaches that will make it possible to form the optimal directions for socio-economic development of rural areas more adequately, provided they improve the integral ecosystem state. This article is devoted to the development of a methodology for searching, selecting, calculating key parameters and integral indicators having a significant impact on the state and development of agricultural territories. The research aims to study the possibilities of integrating assessments based on the processing of statistical reporting materials and Earth remote sensing (ERS) data. The novelty of the work is in the development of a methodological approach for using statistical reporting data and indirect remote sensing data on the level of territory bioproductivity (net primary production) at various levels of spatial analysis (from the level of rural settlement and above). A database of indicators of ecosystem state of rural areas for various levels of integration (from a rural settlement and above) was created using modern software. Moreover, comparable level indicators of their current state were calculated; procedures for spatial visualization of the calculation results for pilot districts and Crimea as a whole were developed. The indicator of the socio-economic direction in 2020 for the Republic of Crimea decreased by 7 % compared to 2019; only for the Kirovsky and Leninsky districts, it remained at the same level. Considering the ecological indicator, the overall integral indicator of the ecosystem state of territories decreased by 3.9 % and worsened for almost all districts (except Kirovsky). The use of satellite information to analyze the dynamics of the development of rural areas showed the continuing negative trend in annual indicators of bioproductivity (about 1.2 % on average per year for the period 2000–2020). All visualization data are implemented through a server web platform using GIS software product – NextGISWeb to allow a third-party user having an opportunity to access the available information to conduct analytical or management activities.