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Comprehensive drought index as an indicator for use in drought monitoring integrating multi-source remote sensing data: a case study covering the Sichuan-Chongqing region
Ji, Tao1,2; Li, Guosheng1; Yang, Hua3; Liu, Rui3; He, Tairong3
2018
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume39Issue:3Pages:786-809
Corresponding AuthorLi, Guosheng(ligs@igsnrr.ac.cn)
AbstractNumerous meteorological drought-monitoring indices and remote-sensing-based spatial drought monitoring indices have been developed and applied to monitor drought in different ways. However, individual indices have obvious deficiencies in terms of their responses to drought, and they do not comprehensively reflect the available information on drought. To overcome issues with the data themselves and improve drought monitoring techniques, we use a comprehensive drought index (CDI) derived from the vegetation condition index, the temperature condition index, and the precipitation condition index to monitor meteorological or agricultural drought for the Sichuan-Chongqing region. To assess CDI performance, monthly CDI values for Sichuan-Chongqing region were used to analyse the spatial and temporal variations of the 2006 drought. The results indicated that all aspects of the drought were monitored, and the results were in agreement with related research. Meanwhile, an extreme drought was accurately explored using the CDI in the Sichuan-Chongqing region from 2000 to 2011. Finally, a validation was performed, and the results show that the CDI is closely related with the standardized precipitation index calculated using a 3-month time scale (SPI3), as well as variations in crop yield and drought-affected crop area. These results provide further evidence that the CDI is an indicator that can be used in integrated drought monitoring and that it can simultaneously reflect meteorological and agricultural drought information.
DOI10.1080/01431161.2017.1392635
WOS KeywordSTANDARDIZED PRECIPITATION INDEX ; VEGETATION HEALTH INDEXES ; NOAA AVHRR DATA ; METEOROLOGICAL DROUGHT ; UNITED-STATES ; AGRICULTURAL DROUGHT ; YIELD ESTIMATION ; WINTER-WHEAT ; CORN YIELD ; CHINA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[40771135] ; National Natural Science Foundation of China[41271411] ; National Natural Science Foundation of China[41401051]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000427373300011
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57233
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Guosheng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chongqing Normal Univ, Key Lab GIS Applicat, Chongqing Municipal Educ Commiss, Chongqing, Peoples R China
Recommended Citation
GB/T 7714
Ji, Tao,Li, Guosheng,Yang, Hua,et al. Comprehensive drought index as an indicator for use in drought monitoring integrating multi-source remote sensing data: a case study covering the Sichuan-Chongqing region[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(3):786-809.
APA Ji, Tao,Li, Guosheng,Yang, Hua,Liu, Rui,&He, Tairong.(2018).Comprehensive drought index as an indicator for use in drought monitoring integrating multi-source remote sensing data: a case study covering the Sichuan-Chongqing region.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(3),786-809.
MLA Ji, Tao,et al."Comprehensive drought index as an indicator for use in drought monitoring integrating multi-source remote sensing data: a case study covering the Sichuan-Chongqing region".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.3(2018):786-809.
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