Monitoring drought dynamics using remote sensing-based combined drought index in Ergene Basin, Türkiye

Kerim Aykut Gümüş*, Filiz Bektaş Balçık, Tolga Esetlili, Ceyhan Kahya

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Remote sensing-based approaches have gained widespread usage in drought monitoring studies. However, relying on single-variable drought indices may be inadequate to provide a comprehensive understanding of drought dynamics. In this study, principal component analysis was employed to derive a combined index, namely, the combined drought index (CDI), from multiple indices such as vegetation condition index, temperature condition index, precipitation condition index, and soil moisture condition index. The CDI was subsequently employed to analyze drought occurrences in the Ergene Basin-Türkiye period from 2001 to 2020 (May to October) using MODIS data. Correlations were computed with standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) at 1-, 3-, and 6-month scales and crop yield. The results revealed that drought incidents transpired in the Ergene Basin for at least 1 month annually. May exhibited the wettest, while September stood as the driest month. The severity of drought and its spatial extent displayed an increasing trend followed by a subsequent decline during the aforementioned period. The CDI demonstrated stronger correlations with the 1-month standardized indices than the 3- and 6-month SPI-SPEI. A robust correlation of 0.79 was also observed between the CDI and the crop yield. In general, the CDI performed well in determining the spatial and temporal patterns of the historic droughts. As a result, the CDI could be leveraged to develop effective drought monitoring and management, which could help mitigate the negative impact of drought in the fragile environment of the Ergene Basin.

Orijinal dilİngilizce
Makale numarası20220594
DergiOpen Geosciences
Basın numarası1
Yayın durumuYayınlandı - 1 Oca 2023

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Publisher Copyright:
© 2023 De Gruyter. All rights reserved.


All authors thank the anonymous reviewers and the editor for the constructive comments on the earlier version of the manuscript. We would like to thank all data providers. Agricultural production statistics were obtained from the Turkish Statistical Institute (TURKSTAT) database. Meterological station based data were provided from the General Directorate of Meteorology (MGM). The research presented in this article constitutes the first author's PhD thesis study at the Graduate School of İstanbul Technical University.

FinansörlerFinansör numarası
General Directorate of Meteorology

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