Digitalization of saline lands in Kazakhstan's pastures using GIS technologies in desert, foothill semi-desert (vertical), semi-desert (latitudinal) and dry steppe zones

In Kazakhstan, scientific, methodological and practical approaches to the management and monitoring of salt pasture lands based on digital technologies are at the stage of formation and require further development. The authors have developed and used data from ground-based studies of saline lands on pastures to compile an information database and digitalize agricultural lands in Kazakhstan. The current state of saline lands on pastures has been studied through field work along routes covering the territory of 12 administrative regions of the republic. A database of salt pastures in desert, foothill semi-desert (vertical), semi-desert (latitudinal) and dry-steppe zones has been compiled, including the following indicators: soil type and subtype, profile morphology, humus and nutrient content, water-soluble salts, granulometric composition, absorbed bases and cation exchange capacity.

1. Tokaev K.K. Poslanie narodu Kazakhstana «Kazakhstan v epokhu iskusstvennogo intellekta: aktualʹnye zadachi i ikh resheniya cherez tsifrovuyu transformatsiyu» // Kazakhstanskaya pravda. - 2025. - 09 sentyabrya. - № 173 (30551).

2. Svodnyj analiticheskij otchet o sostoyanii i ispolʹzovanii zemelʹ Respubliki Ka-zakhstan. - Astana: MSKh RK, Komitet po upravleniyu zemelʹnymi resursami, 2023. - 336 s.

3. Malakhov D.V., Vitkovskaya I.S., Batyrbaeva M.Zh. Metodicheskie podkhody k izucheniyu opustynennoj stepi Kazakhstana: perspektivy ispolʹzovaniya nekommerches-kikh dannykh DZZ // Voprosy stepevedeniya. - 2021. - № 2. - S. 19-33.

4. Konyushkova M. Tsifrovoe kartografirovanie pochv solontsovykh kompleksov Severnogo Prikaspiya. – Litres, 2018.

5. Compton J. Tucker. Red and photographic infrared linear combinations for monitoring vegetation // Remote Sensing of Environment. - 1979. - Vol. 8. - № 2. - P. 127-150. - DOI: 10.1016/0034-4257(79)90013-0.

6. Mukhamediev R.I., Merembayev T., Kuchin Y., Malakhov D., Zaitseva E., Levashenko V., Popova Y., Symagulov A., Sagatdinova G., Amirgaliyev Y. Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models // Remote Sensing. - 2023. - Vol. 15. - No. 17. - Art. 4269. - DOI: 10.3390/rs15174269.

7. Huete A., Didan K., Miura T., Rodriguez E.P., Gao X., Ferreira L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices // Remote Sensing of Environment. - 2002. - Vol. 83. - № 1-2. - P. 195-213. - DOI: 10.1016/S0034-4257(02)00096-2.

8. Jiang Z., Huete A.R., Didan K., Miura T. Development of a two-band enhanced vegetation index without a blue band // Remote Sensing of Environment. - 2008. - Vol. 112. - № 10. - P. 3833-3845. - DOI: 10.1016/j.rse.2008.06.006.

9. Allbed A., Kumar L. Soil salinity mapping using remote sensing and GIS // Advances in Remote Sensing. - 2013. - Vol. 2. - P. 373-385. - DOI: 10.4236/ars.2013.24040.

10. Allbed A., Kumar L., Aldakheel Y.Y. Assessing soil salinity using soil salinity indices derived from Landsat 8 OLI imagery // Remote Sensing. - 2014. - Vol. 6. - № 10.

11. - P. 1137-1157.

12. Lhissoui R., Harti A.E., Chokmani K. Mapping soil salinity in irrigated land using optical remote sensing data // Eurasian Journal of Soil Science. - 2014. - Vol. 3. - № 2.

13. - P. 82-88. - DOI: 10.18393/ejss.84540.

14. Metternicht G.I., Zinck J.A. Remote sensing of soil salinity: potentials and constraints // Remote Sensing of Environment. - 2003. - Vol. 85. - № 1. - P. 1-20. - DOI: 10.1016/S0034-4257(02)00188-8.