Using GIS And Remote Sensing in Assessing the Impact of Drought on Forest Cover Changes Around the Aral Sea

Authors

  • Asiya Tureniyazova PhD, Head of Computer Engineering Department, Nukus State Technical University, Uzbekistan
  • Timur Berdimbetov PhD, Dean of Computer Science Faculty, Nukus State Technical University, Uzbekistan
  • Karimullaeva Ayzada 2nd-year master's student in Computer Engineering specialty, Nukus State Technical University, Uzbekistan

DOI:

https://doi.org/10.37547/ajast/Volume05Issue05-04

Keywords:

Aral Sea, drought, forest degradation

Abstract

The Aral Sea region has experienced significant ecological changes due to prolonged droughts and unsustainable water use, resulting in the degradation of forest ecosystems. This study utilizes Geographic Information Systems (GIS) and remote sensing techniques to analyze the impact of drought on forest cover changes from 2000 to 2024. Using satellite imagery (Landsat and Sentinel-2) and climate indicators such as the Standardized Precipitation Index (SPI), temporal and spatial trends in vegetation health and forest loss were assessed. The findings reveal a strong correlation between increasing drought severity and the decline of forest cover, particularly in the Amu Darya delta and surrounding areas. The study underscores the importance of integrating high-resolution satellite monitoring with adaptive forest management strategies to mitigate the effects of environmental degradation in arid regions.

References

Conrad, C., Usman, M., Morper-Busch, L., & Schönbrodt-Stitt, S. (2020). Remote sensing-based assessments of land use, soil and vegetation status, crop production and water use in irrigation systems of the Aral Sea Basin. A review. Water Security, 11, 100078.

Deliry, S. I., Avdan, Z. Y., Do, N. T., & Avdan, U. (2020). Assessment of human-induced environmental disaster in the Aral Sea using Landsat satellite images. Environmental Earth Sciences, 79(20), 471.

Kozhoridze, G., Orlovsky, L., & Orlovsky, N. (2012, October). Monitoring land cover dynamics in the Aral Sea region by remote sensing. In Earth resources and environmental remote sensing/GIS Applications III (Vol. 8538, pp. 445-453). SPIE.

Shen, H., Abuduwaili, J., Ma, L., & Samat, A. (2019). Remote sensing-based land surface change identification and prediction in the Aral Sea bed, Central Asia. International journal of environmental science and technology, 16, 2031-2046.

Wang, J., Liu, D., Ma, J., Cheng, Y., & Wang, L. (2021). Development of a large-scale remote sensing ecological index in arid areas and its application in the Aral Sea Basin. Journal of Arid Land, 13, 40-55.

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Published

2025-05-07

How to Cite

Asiya Tureniyazova, Timur Berdimbetov, & Karimullaeva Ayzada. (2025). Using GIS And Remote Sensing in Assessing the Impact of Drought on Forest Cover Changes Around the Aral Sea. American Journal of Applied Science and Technology, 5(05), 12–15. https://doi.org/10.37547/ajast/Volume05Issue05-04

Issue

Vol. 5 No. 05 (2025): Volume 05 Issue 05

Section

Articles

License

Copyright (c) 2025 Asiya Tureniyazova, Timur Berdimbetov, Karimullaeva Ayzada

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.