Research Article

Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices

Volume: 8 July 3, 2026
  • Khilola Amankulova *
  • Ramziddin Sharopov
  • Kamola Khaitova
  • Shakhlo Musurmankulova
  • Shahnoza Aliqulova
  • Mohinur Muxtarova
  • Shaxnoza Alimaxamatova
  • Isomiddin Qodirov
  • Djasur Kubayev
  • Sayfuddin Sharipov

Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices

Abstract

In semi-arid regions, drought is a major environmental challenge, and long-term drought deficits, high temperatures, and limited water resources have hampered agricultural productivity and ecosystem health. This study provides a comprehensive spatial-temporal assessment of the drought dynamics in Uzbekistan between 2001 and 2024 using MODIS-derived vegetation and temperature indicators, including the vegetation condition index (VCI), the temperature condition index (TCI), and the vegetation health index (VHI). The data on MODIS NDVI (MOD13Q1) and land surface temperature (MOD11A2) are processed by Google Earth engines to quantify vegetation stress and thermal anomalies over several years and seasons. Temporal analysis revealed significant interannual variability, particularly severe drought episodes in 2004, and partial recovery in 2014 and 2024. The spatial pattern showed that there were heterogeneous effects of drought, and that the central and northern regions showed a moderate recovery of vegetation, while the southern and eastern regions remained under constant pressure, which highlighted the role of climatic extremes, irrigation practices and land use characteristics. The correlation analysis revealed a strong positive agreement between the VHI and the TCI (r = 0.96) while the VCI reported a weaker correlation, highlighting the additional impact of water availability and soil conditions. The results confirm that the integration of VCI, TCI, and VHI provides a robust approach for monitoring and assessing the severity of drought.

Keywords

References

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Details

Primary Language

English

Subjects

Remote Sensing

Journal Section

Research Article

Authors

Ramziddin Sharopov This is me
0009-0008-6259-7769
Uzbekistan

Kamola Khaitova This is me
0000-0003-4052-1065
Uzbekistan

Shakhlo Musurmankulova This is me
0009-0000-4651-1330
Uzbekistan

Shahnoza Aliqulova This is me
0009-0004-9669-4269
Uzbekistan

Mohinur Muxtarova This is me
0009-0007-6831-0186
Uzbekistan

Shaxnoza Alimaxamatova This is me
0009-0000-5365-3695
Uzbekistan

Isomiddin Qodirov This is me
0009-0008-1942-5371
Uzbekistan

Djasur Kubayev This is me
0009-0002-1159-3107
Uzbekistan

Sayfuddin Sharipov This is me
0000-0002-4232-1369
Uzbekistan

Publication Date

July 3, 2026

Submission Date

September 16, 2025

Acceptance Date

January 1, 2026

Published in Issue

Year 2026 Volume: 8

APA
Amankulova, K., Sharopov, R., Khaitova, K., Musurmankulova, S., Aliqulova, S., Muxtarova, M., Alimaxamatova, S., Qodirov, I., Kubayev, D., & Sharipov, S. (2026). Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices. Turkish Journal of Remote Sensing, 8. https://doi.org/10.51489/tuzal.1783708
AMA
1.Amankulova K, Sharopov R, Khaitova K, et al. Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices. TJRS. 2026;8. doi:10.51489/tuzal.1783708
Chicago
Amankulova, Khilola, Ramziddin Sharopov, Kamola Khaitova, et al. 2026. “Spatio-Temporal Assessment of Drought Dynamics in Uzbekistan (2001–2024) Using MODIS-Derived Vegetation and Temperature Indices”. Turkish Journal of Remote Sensing 8 (July). https://doi.org/10.51489/tuzal.1783708.
EndNote
Amankulova K, Sharopov R, Khaitova K, Musurmankulova S, Aliqulova S, Muxtarova M, Alimaxamatova S, Qodirov I, Kubayev D, Sharipov S (July 1, 2026) Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices. Turkish Journal of Remote Sensing 8
IEEE
[1]K. Amankulova et al., “Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices”, TJRS, vol. 8, July 2026, doi: 10.51489/tuzal.1783708.
ISNAD
Amankulova, Khilola - Sharopov, Ramziddin - Khaitova, Kamola - Musurmankulova, Shakhlo - Aliqulova, Shahnoza - Muxtarova, Mohinur - Alimaxamatova, Shaxnoza - Qodirov, Isomiddin - Kubayev, Djasur - Sharipov, Sayfuddin. “Spatio-Temporal Assessment of Drought Dynamics in Uzbekistan (2001–2024) Using MODIS-Derived Vegetation and Temperature Indices”. Turkish Journal of Remote Sensing 8 (July 1, 2026). https://doi.org/10.51489/tuzal.1783708.
JAMA
1.Amankulova K, Sharopov R, Khaitova K, Musurmankulova S, Aliqulova S, Muxtarova M, Alimaxamatova S, Qodirov I, Kubayev D, Sharipov S. Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices. TJRS. 2026;8. doi:10.51489/tuzal.1783708.
MLA
Amankulova, Khilola, et al. “Spatio-Temporal Assessment of Drought Dynamics in Uzbekistan (2001–2024) Using MODIS-Derived Vegetation and Temperature Indices”. Turkish Journal of Remote Sensing, vol. 8, July 2026, doi:10.51489/tuzal.1783708.
Vancouver
1.Khilola Amankulova, Ramziddin Sharopov, Kamola Khaitova, Shakhlo Musurmankulova, Shahnoza Aliqulova, Mohinur Muxtarova, Shaxnoza Alimaxamatova, Isomiddin Qodirov, Djasur Kubayev, Sayfuddin Sharipov. Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices. TJRS. 2026 Jul. 1;8. doi:10.51489/tuzal.1783708

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