A Spatiotemporal Analysis of Drought Conditions Framework in Vast Paddy Cultivation Areas of Thung Kula Ronghai, Thailand

This study presents an integrated spatiotemporal assessment of drought conditions in the Thung Kula Ronghai region of Northeastern Thailand from 2001 to 2023. Multiple satellite-derived drought indices, including SPI, SPEI, RDI, and AI, together with NDVI anomalies, were used to detect seasonal and long-term drought dynamics affecting rainfed Hom Mali rice production. The results show that dry season droughts now affect up to 17 percent of the region’s agricultural land in some years, while severe drought zones persist across more than 2.5 million hectares over the 20-year period. In the most recent 5 years, approximately 50 percent of cultivated areas experienced moderate to severe drought conditions. The RDI showed the strongest correlation with NDVI anomalies (r = 0.22), indicating its relative value for assessing vegetation response to moisture deficits. The combined index approach delineated high-risk sub-regions, particularly in central Thung Kula Ronghai and lower Surin, where drought frequency and severity have intensified. These findings underscore the region’s increasing exposure to dry-season water stress and highlight the need for site-specific irrigation development and adaptive cropping strategies. The methodological framework demonstrated here provides a practical basis for improving drought monitoring and early warning systems to support the resilience of Thailand’s high-value rice production under changing climate conditions.

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Publication Details

Journal
Agriculture
Published
2025-07-12
DOI
https://doi.org/10.3390/agriculture15141503
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A Spatiotemporal Analysis of Drought Conditions Framework in Vast Paddy Cultivation Areas of Thung Kula Ronghai, Thailand

Usa Wannasingha Humphries, Pariwate Varnakovida, Sornkitja Boonprong, Nathapat Punturasan et al.
Agriculture
Hydrology and Drought Analysis
article

A Spatiotemporal Analysis of Drought Conditions Framework in Vast Paddy Cultivation Areas of Thung Kula Ronghai, Thailand

Usa Wannasingha Humphries, Pariwate Varnakovida, Sornkitja Boonprong, Nathapat Punturasan, Anisara Tibkaew
article en

Abstract

This study presents an integrated spatiotemporal assessment of drought conditions in the Thung Kula Ronghai region of Northeastern Thailand from 2001 to 2023. Multiple satellite-derived drought indices, including SPI, SPEI, RDI, and AI, together with NDVI anomalies, were used to detect seasonal and long-term drought dynamics affecting rainfed Hom Mali rice production. The results show that dry season droughts now affect up to 17 percent of the region’s agricultural land in some years, while severe drought zones persist across more than 2.5 million hectares over the 20-year period. In the most recent 5 years, approximately 50 percent of cultivated areas experienced moderate to severe drought conditions. The RDI showed the strongest correlation with NDVI anomalies (r = 0.22), indicating its relative value for assessing vegetation response to moisture deficits. The combined index approach delineated high-risk sub-regions, particularly in central Thung Kula Ronghai and lower Surin, where drought frequency and severity have intensified. These findings underscore the region’s increasing exposure to dry-season water stress and highlight the need for site-specific irrigation development and adaptive cropping strategies. The methodological framework demonstrated here provides a practical basis for improving drought monitoring and early warning systems to support the resilience of Thailand’s high-value rice production under changing climate conditions.

AgricultureVol. 15(14)
Kasetsart University (TH), Asian Institute of Technology (TH), Bangkok University (TH), King Mongkut's University of Technology Thonburi (TH)
King Mongkut's University of Technology Thonburi, Thailand Science Research and Innovation
Openalex Percentile: Top 84%
Hydrology and Drought Analysis
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