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 | |
Li, Weijiao1,2; Wang, Yunpeng1; Yang, Jingxue3 | |
刊名 | REMOTE SENSING
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2020-11-01 | |
卷号 | 12期号:21页码:19 |
DOI | 10.3390/rs12213641 |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000589687700001 |
内容类型 | 期刊论文 |
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.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 |
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. |
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