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Drought Analysis for the Seyhan Basin with Vegetation Indices and Comparison with Meteorological Different Indices

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  • Mehmet Dikici

    (Department of Civil Engineering, Kestel Campus, Alanya Alaaddin Keykubat University, Alanya 07945, Turkey)

Abstract

Various drought indices have been developed to monitor drought, which is a result of climate change, and mitigate its adverse effects on water resources, especially in agriculture. Vegetation indices determined by remote sensing were examined by many recent studies and shed light on drought risk management. In the current study, one of the 25 drainage basins in Turkey—the Seyhan Basin, located in the south of the country—was investigated. The Normalized Difference Vegetation Index (NDVI) and the Vegetation Condition Index (VCI) are the most widely used vegetation indices and are very useful because they give results only based on satellite images. This study examined the Seyhan Basin using satellite data in which the vegetation transformation occurring due to the decline of agricultural and forest areas was seen. An increase in drought frequency was detected in the Seyhan Basin using the NDVI and VCI indices and compared with different indices. The results obtained revealed that climate change and drought is increasing with a linear uptrend. It is recommended that decision-makers take the necessary measures by considering the drought risk maps. Long-term drought management plans should also be prepared and implemented.

Suggested Citation

  • Mehmet Dikici, 2022. "Drought Analysis for the Seyhan Basin with Vegetation Indices and Comparison with Meteorological Different Indices," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4464-:d:789892
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    References listed on IDEAS

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    1. Pérez Blanco, Carlos Dionisio & Gómez, Carlos Mario, 2014. "Drought management plans and water availability in agriculture:A risk assessment model for a Southern European basin," MPRA Paper 60590, University Library of Munich, Germany, revised 14 May 2013.
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    3. Masupha, Teboho E. & Moeletsi, Mokhele E., 2020. "The use of Water Requirement Satisfaction Index for assessing agricultural drought on rain-fed maize, in the Luvuvhu River catchment, South Africa," Agricultural Water Management, Elsevier, vol. 237(C).
    4. Seyedeh Mahboobeh Jafari & Mohammad Reza Nikoo & Maryam Dehghani & Mohammadali Alijanian, 2020. "Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1249-1267, July.
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    Cited by:

    1. Cihangir Koycegiz & Meral Buyukyildiz, 2023. "Investigation of spatiotemporal variability of some precipitation indices in Seyhan Basin, Turkey: monotonic and sub-trend analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2211-2244, March.
    2. Dilayda Soylu Pekpostalci & Rifat Tur & Ali Danandeh Mehr & Mohammad Amin Vazifekhah Ghaffari & Dominika Dąbrowska & Vahid Nourani, 2023. "Drought Monitoring and Forecasting across Turkey: A Contemporary Review," Sustainability, MDPI, vol. 15(7), pages 1-23, March.

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