سابِق|تال

Bibliometric visualization analysis related to remote sensing cloud computing platforms

  • role： First author第一作者
  • Affiliation：

    School of Land Science and Techniques, China University of Geosciences, Beijing 100083, China

  • Email：kaiyan@cugb.edu.cn
  • Introduction：闫凯，1988 年生，男，副教授，研究方向为植被定量遥感模型、遥感产品业务化生产与分析。E-mail：kaiyan@cugb.edu.cn
YAN Kai1,  
  • Affiliation：

    School of Land Science and Techniques, China University of Geosciences, Beijing 100083, China

CHEN Huimin1,  
  • Affiliation：

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China

FU Dongjie25,  
  • Affiliation：

    Department of Global Ecology, Carnegie Institution for Science, Stanford CA 94305, USA

ZENG Yelu3,  
  • Affiliation：

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy Sciences, Beijing 100101, China

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100101, China

DONG Jinwei45,  
  • Affiliation：

    Beijing Piesat Information Technology Co., Ltd., Beijing 100195, China

LI Shiwei6,  
  • Affiliation：

    Department of Geography, University of Tennessee, Knoxville, TN 37996, United States

WU Qiusheng7,  
  • Affiliation：

    School of Land Science and Techniques, China University of Geosciences, Beijing 100083, China

LI Hanliang1,  
  • Affiliation：

    School of Land Science and Techniques, China University of Geosciences, Beijing 100083, China

DU Shuyuan1

ملخص

In the context of big data Remote Sensing (RS), the development of RS cloud computing platforms has changed the mode of RS traditional data processing and analysis. It also has greatly improved the computing efficiency, which enables it to quickly analyze long-term time-series on the global scale. Although many scholars have conducted related works with RS cloud computing platforms, an objective review on the development and application of RS cloud computing platforms is still lacking. In this study, we retrieved the research literature related to RS cloud computing platforms between January 2011 and April 2021 based on the Web of Science and China National Knowledge Infrastructure. The retrieved data were analyzed in terms of publication volume, collaboration analysis, keyword co-occurrence analysis, and co-citation analysis using bibliometric methods. Results show that (1) the number of studies based on RS cloud computing platforms is increasing. China and the United States are the most active countries in this field, and the Chinese Academy of Sciences (CAS) is the most active institution. (2) The intersection of related disciplines is extensive, and it involves RS, environmental science and ecology, computer science, engineering, electrical and electronics, and other disciplines. Among them, RS is the most researched field using cloud computing platforms, and environmental science and ecology and computer science are more closely connected with other disciplinary fields. (3) At present, Google Earth Engine is a widely used RS cloud computing platform. In addition, Amazon Web Services Cloud, Earth Data Miner (a pioneering earth data mining and analysis system of CAS), PIE-Engine, and other platforms are also in a rapid development stage. (4) Large-scale land cover mapping, land use, vegetation dynamics, and climate change have been the main application areas. Environmental health assessment and research on the impact of human activities on the environment will also be important application areas of the platforms in the future. These results quantitatively demonstrated the development history, research hotspots, and applications of RS cloud computing platforms, which provide a reference for relevant researchers to grasp the development dynamics of the field and explore valuable new research directions.

مفهوم

bibliometric;visualisation;remote sensing;big data;remote sensing cloud computing platform

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