Mapping of Cornfield Soil Salinity in Arid and Semi-Arid Regions

• Autorzy: Smanov Zhassulan Maratuly , Laiskhanov Shakhislam Uzakbaevich , Poshanov Maksat Nurbaiuly , Abikbayev Yerzhan Rakhimkeldievich , Duisekov Saken Nurzhanuly , Tulegenov Yerdaulet Askarbekovich

Identyfikatory

DOI

10.12911/22998993/155952

• Języki publikacji: EN

Abstrakty

EN

Soil salinization and their annual increase in volume is not only one of the main problems of arid and subarid regions, but it is becoming global. Studying the problem of salinization and its spatial distribution using operational remote sensing methods is very important for Kazakhstan, where almost half of the agricultural land is exposed to salinization, but it is at the initial stage of development in the use of space technologies of research. The main goal of this study is to conduct a field study of soil salinity in corn fields, one of the most common crops in the arid region of the country, located in the Shaulder irrigated massif, using space-based methods, and to create algorithms for compiling a salinity map based on remote sensing data. For this purpose, firstly, using Sentinel-2 images, the method of separating corn from other dominant crops in the region by creating NDVI dynamics covering all phases of growth of agricultural crops was shown. Then, a regression analysis was performed on soil and vegetation indices calculated using satellite images and data on soil salinity obtained through field studies. As a result of the analysis, the main predictor of deciphering salinized soils was determined. By dividing the predictive image into quartiles, contours of salinized soils were determined and a soil salinity map was created. With the help of the soil salinity map, it was found that, non-saline soils – 2912.2 ha; slightly saline soils – 3288.4 ha, moderately saline soils – 2615.2 ha, and strongly saline soils – 1284.3 ha in the study area.

Słowa kluczowe

EN

soil salinization; satellite image; vegetation indice; regression analysis; mapping of soil salinity

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2023
• Tom: Vol. 24, nr 1
• Strony: 146--158
• Opis fizyczny: Bibliogr. 42 poz., rys., tab.

Twórcy

autor

Smanov Zhassulan Maratuly

• Abai Kazakh National Pedagogical University, Dostyk Ave 13, 050010 Almaty, Kazakhstan
• U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, 050060 Almaty, Kazakhstan

autor

Laiskhanov Shakhislam Uzakbaevich

• Abai Kazakh National Pedagogical University, Dostyk Ave 13, 050010 Almaty, Kazakhstan

• https://orcid.org/0000-0002-3353-9681

autor

Poshanov Maksat Nurbaiuly

• Abai Kazakh National Pedagogical University, Dostyk Ave 13, 050010 Almaty, Kazakhstan
• U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, 050060 Almaty, Kazakhstan

autor

Abikbayev Yerzhan Rakhimkeldievich

• Abai Kazakh National Pedagogical University, Dostyk Ave 13, 050010 Almaty, Kazakhstan

autor

Duisekov Saken Nurzhanuly

• U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, 050060 Almaty, Kazakhstan

autor

Tulegenov Yerdaulet Askarbekovich

• Kazakh National Women’s Teacher Training University, 050000 Almaty, Kazakhstan

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).