Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/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
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ISSN | 0167-6369 |
EISSN | 1573-2959 |
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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