Using Remote Sensing Data to Support Intelligent Agricultural GIS to Monitor the Condition of Arable Land and Crops
Rakhymberdina M.Y. Kulenova N.A. Shaimardanov Z.K. Assylkhanova Z.A. Toguzova M.M. Kassymov D.K.
2022Italian Association of Chemical Engineering - AIDIC
Chemical Engineering Transactions
2022#94883 - 888 pp.
The article reviews the modern state of the multi-level agricultural land monitoring system in Kazakhstan, as an element of the precision farming system, carried out both at the state level and in the context of land users. The main constraints to the widespread use of remote sensing (RS) and unmanned aerial vehicles (UAV) data were identified. The large extent of the countrys territory, different climatic conditions, large differences in the altitude of the terrain impose an impact on the choice of methods of data processing and interpretation. Data from Sentinel, Landsat, Modis satellites are used as input data, on which software applications of the most common in agriculture are based. On the basis of conducted monitoring of agricultural lands in KH Mayak farm in Pavlodar region with the use of available online applications, programs, native web services, UAV evaluated the potential of multi-level use of remote sensing in modern conditions of Kazakhstan. The results of the UAV survey with a mobile RTK station allow ensuring the accuracy of the map at a scale of 1: 1000. Copyright
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School of Earth Sciences, D. Serikbayev East Kazakhstan Technical University, Serikbayev str. 19, Ust-Kamenogorsk, 070000, Kazakhstan
Centre of excellence «Veritas», D. Serikbayev East Kazakhstan Technical University, Serikbayev str. 19, Ust-Kamenogorsk, 070000, Kazakhstan
School of Earth Sciences
Centre of excellence «Veritas»
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026