Abstract
Under the conditions of increasing pressure on agricultural lands and declining soil fertility, the rational use of arable-suitable lands becomes a priority direction of agrarian policy. The aim of this study is to develop a geoinformation model for assessing land suitability for arable use within the Yesil district of Akmola region. The input data included Landsat-8 satellite imagery, a digital elevation model (SRTM), climatic parameters (CRU), and soil characteristics from the HWSD database. The methodology comprised the application of the Analytic Hierarchy Process (AHP), agroecological zoning, and land classification based on the FAO framework. The results revealed that 82% of the district’s territory belongs to the moderately suitable category (S2), 15% to the marginally suitable category (S3), and 3% to the unsuitable category (N). No highly suitable lands (S1) were identified. The integrated suitability map illustrates the spatial distribution of agro-economically promising areas. The practical significance of the research lies in providing a scientifically grounded basis for decision-making in the field of rational land use, subsidy allocation, and assessment of the profitability of developing unused lands. The developed GIS-based model can serve as a decision-support tool for agricultural production planning, implementation of land reclamation measures, and may also be adapted for use in other agricultural regions of Kazakhstan.
01 Introduction
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02 References
- Список источников
- 1 Malczewski, J. (2004). GIS-based land-use suitability analysis: A critical overview. Progress in Planning, 62(1), 3–65. https://doi.org/10.1016/j.progress.2003.09.002
- 2 Food and Agriculture Organization. (1976). A framework for land evaluation (FAO Soils Bulletin No. 32). FAO. https://www.fao.org/4/x5310e/x5310e00.htm
- 3 Rau, A., Koibakova, Ye., Balgabayev, N., Nabiollina, M., Kurmanbek, Zh., Issakov, Ye., Zhu, K., & Dávid, L.D. (2023). Increase in productivity of chestnut soils on irrigated lands of Northern and Central Kazakhstan. Land, 12(3), 672. https://doi.org/10.3390/land12030672
- 4 Al-Taani, A., Al-husban, Y., & Farhan, I. (2019). Land suitability evaluation for agricultural use using GIS and remote sensing techniques: The case study of Ma’an Governorate, Jordan. The Egyptian Journal of Remote Sensing and Space Science. http://www.sciencedirect.com/science/article/pii/S1110982319302479
- 5 Šilc, U., Marušić, D., & Košir, M. (2022). GIS-based evaluation of agricultural land suitability using weighted overlay analysis: A case study from Slovenia. Sustainability, 14(3), 1552. https://doi.org/10.21162/PAKJAS/20.9507
- 6 Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill.
- 7 Otgonbayar, M., Atzberger, C., Chambers, J., Amarsaikhan, D., Böck, S., & Tsogtbayar, J. (2017). Land suitability evaluation for agricultural cropland in Mongolia using the spatial MCDM method and AHP-based GIS. Journal of Geoscience and Environment Protection, 5(9), 238–263. https://doi.org/10.4236/gep.2017.59017
- 8 Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
- 9 Ceballos-Silva, A., & López-Blanco, J. (2003). Delineation of suitable areas for crops using a multi-criteria evaluation approach and land use-cover mapping: A case study in Central Mexico. Agricultural Systems, 77, 117–136. https://doi.org/10.1016/S0308-521X(02)00103-8
- 10 U.S. Geological Survey. (n.d.). U.S. Geological Survey. Retrieved August 29, 2025, from https://www.usgs.gov/
- 11 Food and Agriculture Organization & ISRIC. (2023). Harmonized World Soil Database (HWSD). FAO. https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/hwsd
- 12 Оспанова, А.А., Озеранская, Н.Л., & Татаринцев, В.Л. (2025). Охрана сельскохозяйственных угодий на основе агроэкологического зонирования. Ізденістер, нәтижелер – Исследования, результаты, 1(105). https://doi.org/10.37884/1-2025/34
- 13 Оглезнев, А.К. (2003). Методические рекомендации по оценке качества и классификация земель по их пригодности использования в сельском хозяйстве. Москва: Институт. ISBN 5-902409-09-8.
- 14 Интерактивная карта «JerKarta». (n.d.). https://jerkarta.gharysh.kz/ru/
- 15 Унышева, Н. К., Макенова, С. К., Репников, И. В., & Татаринцев, В. Л. (2024). Оценка экономических возможностей территории засушливой степи для повышения эффективности использования пахотных земель. Устойчивое развитие горных территорий, 16(4), 1766–1782. https://doi.org/10.21177/1998-4502-2024-16-4-1766-1782
- 16 Climatic Research Unit. (n.d.). CRU TS v4.08: Climatic Research Unit Time-Series Data – Global Rainfall Erosivity. Retrieved August 29, 2025, from https://crudata.uea.ac.uk/cru/data/hrg/