Menu
WATER, LAND AND FOREST RESOURCES

LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA

Yryszhan Zhakypbek 1 , Ayaulym Toishy 1 , Yerlan Uteyev 2 , Serik Tursbekov 3 , Zhenis Kozhaev 3

1 Kazakh National Research Technical University named after K.I.Satpayev; 2 Kazakh National Agrarian Research University; 3 Mining and Metallurgical Institute named after O.A.Baikonurov

doi.org/10.37884/1-2025/32 pp. 280-287 Admitted 27.01.2025 Published 30.03.2025

Abstract

Desertification exacerbates problems such as poverty, poor health, food insecurity, loss of biodiversity, water scarcity, climate change, and forced migration. Therefore, desertification is considered one of the most important problems leading the global socio–economic and environmental situation to crisis.

Land degradation and desertification currently pose the most global catastrophic problems in the context of climate change and uncontrolled anthropogenic activities. In recent decades, remote sensing methods have been widely used as tools for assessing spatial and temporal trends. Therefore, data from Landsat, Sentinel-2, MODIS, CBERS, and PlanetScope (Planet Labs) satellites are used to monitor the earth. In the article, when assessing the degradation and desertification of lands in the Atyrau region, the index of normalized vegetation difference (NDVI), changes in soil cover, the leaf zone index (LAI) and the extended vegetation index (EVI), precipitation and a set of vegetation data for the districts of Makhambet, Kurmangazy and Kyzylkoga were considered. Also, in these areas, using Google Earth Engine, Kurmangazy's indicators were demonstrated - 10.88% (NDVI -0.272), Makhambet - 6.06% (NDVI -0.067) and Kyzylkoga - 3.39% (NDVI -0.098) for the vegetation status of agricultural lands for the period 2010-2020.

Atyrau, Landsat, NDVI, Google Earth Engine, desertification, remote sensing, monitoring.

01 Introduction

The full text of the article is available for download in PDF format on the right panel.

02 References

  1. 1. United Nations, 2015. Transforming Our World: the 2030 Agenda for Sustainable Development, 70/1. A/RES/.
  2. 2. Global Drylands: A UN system-wide response. [Электронный ресурс]. – 2011. - URL: https://unemg.org/2018/images/emgdocs/publications/Global_Drylands_Full_Report.pdf
  3. 3. De Pina Tavares, J., Baptista, I., Ferreira, A.J.D., Amiotte-Suchet, P., Coelho, C., Gomes, S., Amoros, R., Dos Reis, E.A., Mendes, A.F., Costa, L., Bentub, J., Varela, L., 2015. Assessment and mapping the sensitive areas to desertification in an insular Sahelian mountain region case study of the Ribeira Seca Watershed, Santiago Island, Cabo Verde // Catena 128, 214–223. DOI: https://doi.org/10.1016/j.catena.2014.10.005.
  4. 4. Xu, D., Song, A., Tong, H., Ren, H., Hu, Y., Shao, Q., 2016. A spatial system dynamic model for regional desertification simulation - a case study of Ordos, China // Environ. Model. Software 83, 179–192. DOI: https://doi.org/10.1016/j.envsoft.2016.05.017.
  5. 5. Li, Q., Zhang, C., Shen, Y., Jia, W., Li, J., 2016. Quantitative assessment of the relative roles of climate change and human activities in desertification processes on the Qinghai-Tibet Plateau based on net primary productivity // Catena 147, 789–796. DOI: https://doi.org/10.1016/j.catena.2016.09.005.
  6. 6. ОБЗОР: Проблема опустынивания на глобальном и региональном уровнях. [Электронный ресурс]. -2017. - URL: https://carececo.org/main/news/obzor-problema-opustynivaniya-na-globalnom-i-regionalnom-urovnyakh/
  7. 7. Программа по борьбе с опустыниванием в Республике Кaзахстан на 2005-2015 годы утв.: Правительством РК от 24 января 2005 года, № 49 [Электронный ресурс]. URL: http://www.eco.gov.kz/strategiya/pustynya.php
  8. 8. Сводный аналитический отчёт о состоянии и использовании земель Республики Казахстан. 2016. Комитет МСХ РК по управлению земельными ресурсами. - Астана, 2017. – 180 с.
  9. 9. Г. Айтхожаева, А. Жилдикбаева, Т. Пентаев, А. Баухан , Н. Жумагалиева , В. Гурскиене. Современное состояние использования земель сельхозяйственного назначения в контексте устойчивого развития // Исследования, результаты. - 2024. - № 2 (102). – С.380-387. DOI: https://doi.org/10.37884/3-2024/42
  10. 10. D’Odorico, P., Bhattachan, A., Davis, K.F., Ravi, S., Runyan, C.W., 2013. Global desertification: drivers and feedbacks // Adv. Water Resour. 51, 326–344. DOI: https://doi. org/10.1016/j.advwatres.2012.01.013.
  11. 11. Zhao, Y., Wang, X., Novillo, C.J., Arrogante-Funes, P., V´ azquez-Jim´enez, R., Maestre, F. T., 2018. Albedo estimated from remote sensing correlates with ecosystem multifunctionality in global drylands // J. Arid Environ. 157 (9), 116–123. DOI: https://doi. org/10.1016/j.jaridenv.2018.05.010.
  12. 12. Feng K., Wang T., Liu Sh., Kang W., Chen X., Guo Z., Zhi Y. Monitoring desertification Using Machine-Learning Techniques with Multiple Indicators Derived from MODIS Images in Mu Us Sandy Land, China // Remote Sens. 2022, 14(11), 2663; DOI: https://doi.org/10.3390/rs14112663
  13. 13. A. Moumane, J.A. Karkouri, A. Benmansour, F. Ghazali, J. Fico, A. Karmaoui, M. Batchi. Monitoring long-term land use, land cover change, and desertification in the Ternata oasis, Middle Draa Valley, Morocco // Remote Sensing Applications: Society and Environment. Volume 26, April 2022, 100745. DOI: https://doi.org/10.1016/j.rsase.2022.100745
  14. 14. X. Meng, X. Gao, S. Li, Sh. Li, J. Lei. Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020 // Ecological Indicators. Volume 129, October 2021, 107908. DOI: https://doi.org/10.1016/j.ecolind.2021.107908
  15. 15. Т. Рафиков, М. Ерболқызы, А. Жилдикбаева. Применение данных дистанционного зондирования земли и анализа NDVI 8 Восточно-казахстанской области // Исследования, результаты. - 2024. - № 1 (101). – С.183-191. DOI: https: //doi.org/10.37884/1-2024/18

Citation Links

[1]2025. LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA. Izdenister natigeler. 1 (105) (Mar. 2025), 280–287. DOI:https://doi.org/10.37884/1-2025/32.
(1)LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA. Izdenister natigeler 2025, No. 1 (105), 280-287. https://doi.org/10.37884/1-2025/32.
LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA. (2025). Izdenister Natigeler, 1 (105), 280-287. https://doi.org/10.37884/1-2025/32
LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA. Izdenister natigeler, [S. l.], n. 1 (105), p. 280–287, 2025. DOI: 10.37884/1-2025/32. Disponível em: https://kazvetjournal.kaznaru.edu.kz/index.php/research/article/view/848. Acesso em: 15 sep. 2026.
“LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA”. 2025. Izdenister Natigeler, no. 1 (105) (March): 280-87. https://doi.org/10.37884/1-2025/32.
“LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA” (2025) Izdenister natigeler, (1 (105), pp. 280–287. doi:10.37884/1-2025/32.
[1]“LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA”, Izdenister natigeler, no. 1 (105), pp. 280–287, Mar. 2025, doi: 10.37884/1-2025/32.
“LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA”. Izdenister Natigeler, no. 1 (105), Mar. 2025, pp. 280-7, https://doi.org/10.37884/1-2025/32.
“LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA”. Izdenister natigeler, no. 1 (105) (March 30, 2025): 280–287. Accessed September 15, 2026. https://kazvetjournal.kaznaru.edu.kz/index.php/research/article/view/848.
1.LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA. Izdenister natigeler [Internet]. 2025 Mar. 30 [cited 2026 Sep. 15];(1 (105):280-7. Available from: https://kazvetjournal.kaznaru.edu.kz/index.php/research/article/view/848
1.LAND DESERTIFICATION MONITORING IN ATYRAU REGION BASED ON REMOTE SENSING DATA. Izdenister natigeler. 2025;(1 (105):280-287. doi:10.37884/1-2025/32