中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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

文献类型:期刊论文

作者Li, Weijiao1,2; Wang, Yunpeng2; Yang, Jingxue3
刊名REMOTE SENSING
出版日期2020-11-01
卷号12期号:21页码:19
DOI10.3390/rs12213641
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000589687700001
源URL[http://ir.gig.ac.cn/handle/344008/57730]  
专题有机地球化学国家重点实验室
通讯作者Wang, Yunpeng
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China
3.Guangdong Res Inst Water Resources & Hydropower, Guangzhou 510635, Peoples R China
推荐引用方式
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.

入库方式: OAI收割

来源:广州地球化学研究所

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