Bibliometric Analysis of Global NDVI Research Trends from 1985 to 2021
文献类型：期刊论文
| 作者 | Xu, Yang1,2; Yang, Yaping2,3,4; Chen, Xiaona2,3,4; Liu, Yangxiaoyue2,3,4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 14期号:16页码:20 |
| 关键词 | bibliometrix NDVI remote sensing network analysis visualization Web of Science |
| DOI | 10.3390/rs14163967 |
| 通讯作者 | Yang, Yaping(yangyp@igsnrr.ac.cn) |
| 英文摘要 | As one of the earliest remote sensing indices, the Normalized Difference Vegetation Index (NDVI) has been employed extensively for vegetation research. However, despite an abundance of NDVI review articles, these studies are predominantly limited to either one subject area or one area, with systematic NDVI reviews being relatively rare. Bibliometrics is a useful method of analyzing scientific literature that has been widely used in many disciplines; however, it has not yet been applied to comprehensively analyze NDVI research. Therefore, we used bibliometrics and scientific mapping methods to analyze citation data retrieved from the Web of Science during 1985-2021 with NDVI as the topic. According to the analysis results, the amount of NDVI research increased exponentially during the study period, and the related research fields became increasingly varied. Moreover, a greater number of satellite and aerial remote sensing platforms resulted in more diverse NDVI data sources. In future, machine learning methods and cloud computing platforms led by Google Earth Engine will substantially improve the accuracy and production efficiency of NDVI data products for more effective global research. |
| WOS关键词 | DIFFERENCE VEGETATION INDEX ; TIME-SERIES DATA ; INDUCED LAND DEGRADATION ; GOOGLE EARTH ENGINE ; WATER INDEX ; LEAF-AREA ; SPOT-VEGETATION ; ABSORBED PAR ; NOAA-AVHRR ; GREEN LAI |
| 资助项目 | Chinese Academy of Sciences Network Security and Informatization Special Project[CAS-WX2021SF-0106-03] ; National Earth System Science Data Sharing Infrastructure[2005DKA32300] ; Branch Center Project of Geography, Resources and Ecology of Knowledge Center for Chinese Engineering Sciences and Technology[CKCEST-2021-2-10] ; Comprehensive investigation of resources and environmental elements of the Mongolian Plateau[2019FY102001] ; Comprehensive Disaster Risk Assessment and Prevention of the Second Comprehensive Scientific Investigation of the Qinghai-Tibet Plateau[2019QZKK0906] ; Data Center of the Academy of Sciences[WX145XQ07-11] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000845299900001 |
| 出版者 | MDPI |
| 资助机构 | Chinese Academy of Sciences Network Security and Informatization Special Project ; National Earth System Science Data Sharing Infrastructure ; Branch Center Project of Geography, Resources and Ecology of Knowledge Center for Chinese Engineering Sciences and Technology ; Comprehensive investigation of resources and environmental elements of the Mongolian Plateau ; Comprehensive Disaster Risk Assessment and Prevention of the Second Comprehensive Scientific Investigation of the Qinghai-Tibet Plateau ; Data Center of the Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182236]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Yaping |
| 作者单位 | 1.Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China 2.Natl Sci & Technol Infrastruct China, Natl Earth Syst Sci Data Ctr, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Yang,Yang, Yaping,Chen, Xiaona,et al. Bibliometric Analysis of Global NDVI Research Trends from 1985 to 2021[J]. REMOTE SENSING,2022,14(16):20. |
| APA | Xu, Yang,Yang, Yaping,Chen, Xiaona,&Liu, Yangxiaoyue.(2022).Bibliometric Analysis of Global NDVI Research Trends from 1985 to 2021.REMOTE SENSING,14(16),20. |
| MLA | Xu, Yang,et al."Bibliometric Analysis of Global NDVI Research Trends from 1985 to 2021".REMOTE SENSING 14.16(2022):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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