| Issue |
E3S Web Conf.
Volume 449, 2023
International Scientific and Practical Conference “Priority Directions of Complex Socio-Economic Development of the Region” (PDSED 2023)
|
|
|---|---|---|
| Article Number | 06004 | |
| Number of page(s) | 7 | |
| Section | Management of Natural Resources of the Region | |
| DOI | https://doi.org/10.1051/e3sconf/202344906004 | |
| Published online | 16 November 2023 | |
Estimation of average long-term soil salinity of arable land Golodnaya Steppe in Kazakhstan
1 Institute of Information and Computational Technologies, 050010 Almaty, Kazakhstan
2 M. Auezov South Kazakhstan State University, 160012 Shimkent, Kazakhstan
* Corresponding author: aterekhov1@yandex.ru
In the Syr-Darya River basin on the border between Kazakhstan and Uzbekistan there is an irrigation massif “Golodnaya Steppe”. In its Kazakh part, the agricultural procedure of winter washing of fields is practiced for cleaning from secondary salinization. It is carried out in January-February by flooding saline fields. At the same time, water mirrors are formed on the arable land, which can be recorded using satellite data. In this study, based on satellite information from Landsat 8,9 and Sentinel 1,2 for the period January-February 2016-2022, masks of water mirrors were created, located on irrigated arable land in winter. These masks diagnose seasonal farmers’ activity on cleaning arable land from secondary salinization. Analysis of the field washing frequency in the period 2016-2022 allowed to estimate the average long-term salinity of irrigated arable land in the analyzed region. The data obtained are of interest for the zoning of the territory of the irrigation massif “Golodnaya Steppe” in Kazakhstan according to the level of secondary salinization, which is important for optimizing the work to improve the irrigation and drainage infrastructure.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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