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GIG OpenIR  > 有机地球化学国家重点实验室
Li, Weijiao1,2; Wang, Yunpeng1; Yang, Jingxue3
Cloudy Region Drought Index (CRDI) Based on Long-Time-Series Cloud Optical Thickness (COT) and Vegetation Conditions Index (VCI): A Case Study in Guangdong, South Eastern China
Source PublicationREMOTE SENSING
2020-11-01
Volume12Issue:21Pages:19
DOI10.3390/rs12213641
Language英语
WOS Research AreaRemote Sensing
WOS IDWOS:000589687700001
Indexed BySCI
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.gig.ac.cn/handle/344008/57730
Collection有机地球化学国家重点实验室
Corresponding AuthorWang, Yunpeng
Affiliation1.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Guangdong Res Inst Water Resources & Hydropower, Guangzhou 510635, Peoples R China
Recommended Citation
GB/T 7714		 Li, Weijiao,Wang, Yunpeng,Yang, Jingxue. Cloudy Region Drought Index (CRDI) Based on Long-Time-Series Cloud Optical Thickness (COT) and Vegetation Conditions Index (VCI): A Case Study in Guangdong, South Eastern China[J]. REMOTE SENSING,2020,12(21):19.
APA Li, Weijiao,Wang, Yunpeng,&Yang, Jingxue.(2020).Cloudy Region Drought Index (CRDI) Based on Long-Time-Series Cloud Optical Thickness (COT) and Vegetation Conditions Index (VCI): A Case Study in Guangdong, South Eastern China.REMOTE SENSING,12(21),19.
MLA Li, Weijiao,et al."Cloudy Region Drought Index (CRDI) Based on Long-Time-Series Cloud Optical Thickness (COT) and Vegetation Conditions Index (VCI): A Case Study in Guangdong, South Eastern China".REMOTE SENSING 12.21(2020):19.
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