Monitoring drought pattern for pre- and post-monsoon seasons in a semi-arid region of western part of India

Shahfahad, Swapan Talukdar, Rayees Ali, Kim Anh Nguyen, Mohd Waseem Naikoo, Yuei An Liou, Abu Reza Md Towfiqul Islam, Javed Mallick, Atiqur Rahman

研究成果: 雜誌貢獻期刊論文同行評審

10 引文 斯高帕斯(Scopus)


Drought has become a regular phenomenon in the western semi-arid regions of India, where severe drought occurs once in 8–9 years. Therefore, two drought indices, namely temperature condition index (TCI) and vegetation condition index (VCI), were prepared from using Landsat datasets to appraise and monitor of drought pattern for the pre- and post-monsoon seasons between 1996 and 2016 in the Latur district, the north-western part of India. Additionally, the average frequency layers (AFL) of all drought and land use indices were prepared to analyse the correlation between them. The results show a substantial increase in the area under high, very high and severe drought classes both pre- and post-monsoon seasons during the study period. The highest increase was noticed from the high drought class from 2532.45 to 4792.49 sq. km and 1559.84 to 3342.32 sq. km for pre- and post-monsoon season, respectively, based on the TCI and 1269.81 to 1787.77 sq. km in very high drought class for the post-monsoon season using the VCI. The correlation analysis showed that there exists a significant relationship between the land use indices and drought indices. However, the spatial pattern of correlation was heterogeneous for both pre- and post-monsoon seasons. The results of this research can help in the drought management and mitigation planning in the study area. In addition, a similar approach may be applied to analyse drought patterns in other places with similar geographic characteristics as both VCI and TCI are cost-effective and less time-consuming methods and produce reliable outcomes.

期刊Environmental Monitoring and Assessment
出版狀態已出版 - 6月 2022


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