Research Article

Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data

Number: Advanced Online Publication Early Pub Date: October 23, 2026
TR EN

Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data

Abstract

This study evaluates vegetation dynamics and drought conditions in the semi-arid agricultural landscapes of Kaman (Türkiye) using integrated remote sensing data. NDVI and NDMI derived from Landsat and Sentinel-2, together with land surface temperature (LST) and Sentinel-1 soil moisture, were analyzed to assess vegetation–environment interactions. NDVI time-series analysis revealed a clear seasonal phenological cycle, with peak vegetation growth in spring and a marked decline during summer due to increased temperature and reduced moisture availability. NDMI showed higher sensitivity to vegetation water content and effectively captured summer drought stress, particularly during July–August. A strong positive relationship between NDVI and NDMI indicates the importance of vegetation moisture, while negative relationships with LST highlight the limiting role of thermal stress. Although soil moisture showed a generally positive relationship with vegetation indices, its statistical influence was relatively weak due to spatial and temporal variability. Regression results suggest that vegetation dynamics are controlled by multiple interacting factors rather than a single variable. Overall, the integration of NDVI, NDMI, LST, and soil moisture provides a robust framework for monitoring drought and vegetation water stress in semi-arid ecosystems.

Keywords

Supporting Institution

Kırşehir Ahi Evran University BAP unit

Project Number

FEF.A3.25.004

Ethical Statement

Since it does not involve personal property or information, an ethics committee was not deemed necessary.

Thanks

I would like to thank Kırşehir Ahi Evran University BAP unit for their contribution to the project.

References

  1. Abebe, T., & Gebeyehu, Z. (2024). Spatio-temporal assessment of agricultural drought using remote sensing and ground-based data indices in the Northern Ethiopian Highland. European Journal of Remote Sensing, 57, 101700.
  2. Altese, E., Bolognesi, S. F., Mancini, M., & Troch, P. A. (2021). Soil moisture retrieval from SAR data and its integration with optical indices (NDMI) for agricultural drought monitoring. Remote Sensing, 13(5), 894.
  3. Altıkat, A. (2025). Satellite-based monitoring of vegetation and soil moisture indices for stress detection and irrigation planning in a semi-arid apple orchard. Tarım Makinaları Bilimi Dergisi, 21(2), 139–161.
  4. Anderson, M. C., Norman, J. M., & Kustas, W. P. (2020). Remote sensing of land surface temperature for drought monitoring and evapotranspiration analysis. Agricultural and Forest Meteorology, 292–293, 108125.
  5. Attarzadeh, R., Amini, J., & Notarnicola, C. (2021). Evaluation of Sentinel-1 soil moisture products over semi-arid regions. Journal of Hydrology, 603, 127104.
  6. Bousbih, E., Bianchi, R., Mancini, M., & Troch, P. (2021). Integration of SAR soil moisture and optical vegetation indices for drought assessment. Remote Sensing of Environment, 256, 112318.
  7. Bousbih, S., Zribi, M., & Baghdadi, N. (2022a). Soil moisture estimation using Sentinel-1 SAR data in agricultural areas. Remote Sensing, 14, 2473.
  8. Bousbih, S., Zribi, M., Pelletier, C., & Baghdadi, N. (2022b). Soil moisture retrieval using Sentinel-1 SAR data over agricultural areas. Remote Sensing, 14(2), 415.

Details

Primary Language

English

Subjects

Plant Biotechnology

Journal Section

Research Article

Early Pub Date

October 23, 2026

Publication Date

-

Submission Date

December 17, 2025

Acceptance Date

April 26, 2026

Published in Issue

Year 2026 Number: Advanced Online Publication

APA
Günek, H. (2026). Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, Advanced Online Publication. https://doi.org/10.18016/ksutarimdoga.vi.1843752
AMA
1.Günek H. Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data. KSU J. Agric Nat. 2026;(Advanced Online Publication). doi:10.18016/ksutarimdoga.vi.1843752
Chicago
Günek, Halil. 2026. “Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8 9 and Sentinel-2A Data”. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, no. Advanced Online Publication. https://doi.org/10.18016/ksutarimdoga.vi.1843752.
EndNote
Günek H (October 1, 2026) Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi Advanced Online Publication
IEEE
[1]H. Günek, “Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data”, KSU J. Agric Nat., no. Advanced Online Publication, Oct. 2026, doi: 10.18016/ksutarimdoga.vi.1843752.
ISNAD
Günek, Halil. “Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8 9 and Sentinel-2A Data”. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi. Advanced Online Publication (October 1, 2026). https://doi.org/10.18016/ksutarimdoga.vi.1843752.
JAMA
1.Günek H. Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data. KSU J. Agric Nat. 2026. doi:10.18016/ksutarimdoga.vi.1843752.
MLA
Günek, Halil. “Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8 9 and Sentinel-2A Data”. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, no. Advanced Online Publication, Oct. 2026, doi:10.18016/ksutarimdoga.vi.1843752.
Vancouver
1.Halil Günek. Drought and Water Stress Analysis in the Kaman Region (Kırşehir, Türkiye) Using Landsat 8/9 and Sentinel-2A Data. KSU J. Agric Nat. 2026 Oct. 1;(Advanced Online Publication). doi:10.18016/ksutarimdoga.vi.1843752


International Peer Reviewed Journal
Free submission and publication
Published 6 times a year



88x31.png


KSU Journal of Agriculture and Nature

e-ISSN: 2619-9149