Arid
DOI10.1007/s10661-023-11524-y
Monitoring early-season agricultural drought using temporal Sentinel-1 SAR-based combined drought index
Dilip, T.; Kumari, Mamta; Murthy, C. S.; Neelima, T. L.; Chakraborty, Abhishek; Devi, M. Uma
通讯作者Kumari, M
来源期刊ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN0167-6369
EISSN1573-2959
出版年2023
卷号195期号:8
英文摘要Early-season agricultural drought is frequent over South Asian region due to delayed or deficient monsoon rainfall. These drought events often cause delay in sowing and can even result in crop failure. The present study focuses on monitoring early-season agricultural drought in a semi-arid region of India over 5-year period (2016-2020). It utilizes hydro-climatic and biophysical variables to develop a combined drought index (CDI), which integrates anomalies in soil moisture conditions, rainfall, and crop-sown area progression. Synthetic aperture radar (SAR)-based soil moisture index (SMI) represents in situ measured soil moisture with reasonable accuracy (r=0.68). Based on the highest F1-score, SAR backscatter in VH (vertical transmit-horizontal receive) polarization with specific values for parameter threshold (-18.63 dB) and slope threshold (-0.072) is selected to determine the start of season (SoS) with a validation accuracy of 73.53%. The CDI approach is used to monitor early-season agricultural drought and identified drought conditions during June-July in 2019 and during July in 2018. Conversely, 2020 experienced consistently wet conditions, while 2016 and 2017 had near-normal conditions. Overall, the study highlights the use of SAR data for early-season agricultural drought monitoring, which is mainly governed by soil moisture-driven crop-sowing progression. The proposed methodology holds potential for effective monitoring, management, and decision-making in early-season agricultural drought scenarios.
英文关键词SAR Sentinel-1 SPI Early-season drought Combined drought index
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:001025074400003
WOS关键词SOIL-MOISTURE ; NDVI ; PHENOLOGY
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/396181
推荐引用方式
GB/T 7714
Dilip, T.,Kumari, Mamta,Murthy, C. S.,et al. Monitoring early-season agricultural drought using temporal Sentinel-1 SAR-based combined drought index[J],2023,195(8).
APA Dilip, T.,Kumari, Mamta,Murthy, C. S.,Neelima, T. L.,Chakraborty, Abhishek,&Devi, M. Uma.(2023).Monitoring early-season agricultural drought using temporal Sentinel-1 SAR-based combined drought index.ENVIRONMENTAL MONITORING AND ASSESSMENT,195(8).
MLA Dilip, T.,et al."Monitoring early-season agricultural drought using temporal Sentinel-1 SAR-based combined drought index".ENVIRONMENTAL MONITORING AND ASSESSMENT 195.8(2023).
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