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Assessment of agricultural land salinization via soil analysis and remote sensing data: Case study in Pavlodar region, Kazakhstan

Author

Listed:
  • Dauren Rakhmanov

    (Department of Ecology and Environmental Sciences, Palacký University Olomouc, Czech Republic)

  • Bořivoj Šarapatka
  • Kamilla Alibekova

    (Department of Ecology and Environmental Sciences, Palacký University Olomouc, Czech Republic)

  • Jan Černohorský

    (Department of Ecology and Environmental Sciences, Palacký University Olomouc, Czech Republic)

  • Petr Hekera

    (Department of Ecology and Environmental Sciences, Palacký University Olomouc, Czech Republic)

  • Zhassulan Smanov

    (Space Technologies and Remote Sensing Center, Al-Farabi Kazakh National University, Almaty, Kazakhstan)

Abstract

Soil salinization is one of the most widespread soil degradation processes, especially in arid and semi-arid regions. In such climatic conditions, soluble salts accumulate in the soil, leading to deterioration in soil properties and ultimately reduced crop yield. The purpose of this study was to analyse the relationship between the level of soil salinity and the main spectral indicators obtained from Landsat satellite data. The studied area was the Maisky district, which is located in the southeastern part of the Pavlodar region of Kazakhstan. The variants of the research were agricultural lands using sprinkler irrigation and flood irrigation, as well as sites without irrigation. To analyse the relationships, we used the normalized difference vegetation index (NDVI), salinity indices (SI) and soil indices such as SI 1, SI 2, SI 3, SI 4, normalized difference salinity index (NDSI), soil adjusted vegetation index (SAVI), and brightness index (BI). The normalized difference salinity index (R-NIR)/(R + NIR), using a quadratic statistical relationship, showed the best correlation with the laboratory data. The vegetation index NDVI showed the weakest correlation due to dryness or poor crop growth. As a result of the lack of clear control over irrigation and agrotechnical measures, the indicators of cation exchange capacity in irrigated plots using the flooding method were higher than in other irrigation methods. During irrigation, it is necessary to ensure clear rules, according to which the supplied water and fertilizers will have a positive effect on the soil and the entire agroecosystem. The methods used in this research can be useful in mapping and studying saline soils using satellite data in natural and climatic conditions of arid and semi-arid regions.

Suggested Citation

  • Dauren Rakhmanov & Bořivoj Šarapatka & Kamilla Alibekova & Jan Černohorský & Petr Hekera & Zhassulan Smanov, 2024. "Assessment of agricultural land salinization via soil analysis and remote sensing data: Case study in Pavlodar region, Kazakhstan," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 19(2), pages 111-121.
  • Handle: RePEc:caa:jnlswr:v:19:y:2024:i:2:id:5-2024-swr
    DOI: 10.17221/5/2024-SWR
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    References listed on IDEAS

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    1. Khan, Nasir M. & Rastoskuev, Victor V. & Sato, Y. & Shiozawa, S., 2005. "Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 96-109, August.
    2. Rattan Lal, 2015. "Restoring Soil Quality to Mitigate Soil Degradation," Sustainability, MDPI, vol. 7(5), pages 1-21, May.
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