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- Title
Using Remote Sensing Data to Support Intelligent Agricultural GIS to Monitor the Condition of Arable Land and Crops.
- Authors
Rakhymberdina, Marzhan Yessenbekovna; Kulenova, Natalya Anatolyevna; Shaimardanov, Zhasulan Kudaibergenovich; Assylkhanova, Zhanna Alexandrovna; Toguzova, Marzhan Melsovna; Kassymov, Dauren Kuttybayevich
- Abstract
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 country's 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.
- Subjects
ARABLE land; REMOTE-sensing images of Earth; DRONE aircraft; ELECTRONIC data processing; PRECISION farming
- Publication
CET Journal - Chemical Engineering Transactions, 2022, Vol 94, p883
- ISSN
1974-9791
- Publication type
Article
- DOI
10.3303/CET2294147