干旱区生态环境知识资源中心(Arid): Monitoring Meteorological Drought in Southern China Using Remote Sensing Data

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DOI	10.3390/rs13193858
	Monitoring Meteorological Drought in Southern China Using Remote Sensing Data
	Liu, Li; Huang, Ran; Cheng, Jiefeng; Liu, Weiwei; Chen, Yan; Shao, Qi; Duan, Dingding; Wei, Pengliang; Chen, Yuanyuan; Huang, Jingfeng
通讯作者	Huang, JF (corresponding author), Zhejiang Univ, Inst Appl Remote Sensing & Informat Technol, Hangzhou 310058, Peoples R China. ; Huang, JF (corresponding author), Zhejiang Univ, Key Lab Agr Remote Sensing & Informat Syst, Hangzhou 310058, Peoples R China. ; Huang, JF (corresponding author), Zhejiang Univ, Coll Nat Resources & Environm Sci, Minist Educ, Key Lab Environm Remediat & Ecol Hlth, Hangzhou 310058, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:19
英文摘要	Severe meteorological drought is generally considered to lead to crop damage and loss. In this study, we created a new standard value by averaging the values distributed in the middle 30-70% instead of the traditional mean value, and we proposed a new index calculation method named Normalized Indices (NI) for meteorological drought monitoring after normalized processing. The TRMM-derived precipitation data, GLDAS-derived soil moisture data, and MODIS-derived vegetation condition data from 2003 to 2019 were used, and we compared the NI with commonly used Condition Indices (CI) and Anomalies Percentage (AP). Taking the mid-to-lower reaches of the Yangtze River (MLRYR) as an example, the drought monitoring results for paddy rice and winter wheat showed that (1) NI can monitor well the relative changes in real precipitation/soil moisture/vegetation conditions in both arid and humid regions, while meteorological drought was overestimated with CI and AP, and (2) due to the monitoring results of NI, the well-known drought event that occurred in the MLRYR from August to October 2019 had a much less severe impact on vegetation than expected. In contrast, precipitation deficiency induced an increase in sunshine and adequate heat resources, which improved crop growth in 78.8% of the area. This study discusses some restrictions of CI and AP and suggests that the new NI index calculation provides better meteorological drought monitoring in the MLRYR, thus offering a new approach for future drought monitoring studies.
英文关键词	meteorological drought drought impact paddy rice winter wheat
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000706978200001
WOS关键词	MULTISENSOR INTEGRATED INDEX ; EVAPORATIVE STRESS INDEX ; SOIL-MOISTURE ANOMALIES ; AGRICULTURAL DROUGHT ; VEGETATION ; PRECIPITATION ; EVAPOTRANSPIRATION ; MODIS ; VARIABILITY ; EVOLUTION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364491
作者单位	[Liu, Li; Chen, Yan; Shao, Qi; Wei, Pengliang; Huang, Jingfeng] Zhejiang Univ, Inst Appl Remote Sensing & Informat Technol, Hangzhou 310058, Peoples R China; [Liu, Li; Chen, Yan; Shao, Qi; Wei, Pengliang; Huang, Jingfeng] Zhejiang Univ, Key Lab Agr Remote Sensing & Informat Syst, Hangzhou 310058, Peoples R China; [Liu, Li; Chen, Yan; Shao, Qi; Wei, Pengliang; Huang, Jingfeng] Zhejiang Univ, Coll Nat Resources & Environm Sci, Minist Educ, Key Lab Environm Remediat & Ecol Hlth, Hangzhou 310058, Peoples R China; [Huang, Ran] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China; [Cheng, Jiefeng] Zhejiang Geopher Spatial Planning Technol Co Ltd, Hangzhou 310000, Peoples R China; [Liu, Weiwei] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China; [Duan, Dingding] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China; [Chen, Yuanyuan] Zhejiang Univ Technol, Coll Environm, Hangzhou 310000, Peoples R China
推荐引用方式 GB/T 7714	Liu, Li,Huang, Ran,Cheng, Jiefeng,et al. Monitoring Meteorological Drought in Southern China Using Remote Sensing Data[J],2021,13(19).
APA	Liu, Li.,Huang, Ran.,Cheng, Jiefeng.,Liu, Weiwei.,Chen, Yan.,...&Huang, Jingfeng.(2021).Monitoring Meteorological Drought in Southern China Using Remote Sensing Data.REMOTE SENSING,13(19).
MLA	Liu, Li,et al."Monitoring Meteorological Drought in Southern China Using Remote Sensing Data".REMOTE SENSING 13.19(2021).