Implementation of the ers for yield analyzing of irrigated lands of South Kazakhstan

Abstract

Today the agricultural industry of Kazakhstan faces the challenge to make the country enter the list of leaders of agricultural export. Due to the necessity for ensuring food security and competitiveness of domestic farmers in the foreign markets, the Ministry of Agriculture of the Republic of Kazakhstan is going to need more objective information about volumes of crop production. Therefore, Kazakhstan must be very interested in the development of methods to monitor the agricultural production with the use of information from satellite [1]. This article demonstrates the results of the analysis of cotton yield in the irrigated fields of Maktaaraldistrict of Turkestan region of the Republic of Kazakhstan; the analysis has been conducted with the use of the Earth remote sensing data. Work performed in two stages. At the first stage, field surveys of irrigated tracts were conducted, the state of cotton fields was assessed. At the second stage, a GIS model of irrigated arrays of the Maktaaral district was built, NDVI (Normalized Difference Vegetation Index) was calculated during the vegetation period for the period from 2013 to 2018, NDVI change charts were constructed, data on cotton yield were collected, NDVI dependency graph on yield. The results of the study showed a high efficiency of applying the methods of remote sensing of the Earth (hereinafter, RSE) in monitoring irrigated agriculture, in the analysis and in the yield forecast with an accuracy of 0.1-0.3 t/ha.