A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020

遥感学报 Pub Date : 2021-03-18 DOI:10.34133/2021/7410921

Kai Yan, Dongxiao Zou, G. Yan, H. Fang, M. Weiss, M. Rautiainen, Y. Knyazikhin, R. Myneni

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引用次数: 13

Abstract

The MODIS LAI/FPAR products have been widely used in various fields since their first public release in 2000. This review intends to summarize the history, development trends, scientific collaborations, disciplines involved, and research hotspots of these products. Its aim is to intrigue researchers and stimulate new research direction. Based on literature data from the Web of Science (WOS) and associated funding information, we conducted a bibliometric visualization review of the MODIS LAI/FPAR products from 1995 to 2020 using bibliometric and social network analysis (SNA) methods. We drew the following conclusions: (1) research based on the MODIS LAI/FPAR shows an upward trend with a multiyear average growth rate of 24.9% in the number of publications. (2) Researchers from China and the USA are the backbone of this research area, among which the Chinese Academy of Sciences (CAS) is the core research institution. (3) Research based on the MODIS LAI/FPAR covers a wide range of disciplines but mainly focus on environmental science and ecology. (4) Ecology, crop production estimation, algorithm improvement, and validation are the hotspots of these studies. (5) Broadening the research field, improving the algorithms, and overcoming existing difficulties in heterogeneous surface, scale effects, and complex terrains will be the trend of future research. Our work provides a clear view of the development of the MODIS LAI/FPAR products and valuable information for scholars to broaden their research fields.

查看原文本刊更多论文

1995-2020年MODIS LAI/FPAR产品文献计量可视化综述

MODIS LAI/FPAR产品自2000年首次公开发布以来，已广泛应用于各个领域。本综述旨在总结这些产品的历史、发展趋势、科学合作、涉及的学科和研究热点。其目的是吸引研究人员并激发新的研究方向。基于科学网（WOS）的文献数据和相关资助信息，我们使用文献计量和社会网络分析（SNA）方法对1995年至2020年的MODIS LAI/FPAR产品进行了文献计量可视化综述。我们得出以下结论：（1）基于MODIS LAI/FPAR的研究显示出上升趋势，出版物数量多年平均增长率为24.9%。（2）中国和美国的研究人员是这一研究领域的中坚力量，其中中国科学院（CAS）是核心研究机构。（3）基于MODIS LAI/FPAR的研究涵盖了广泛的学科，但主要集中在环境科学和生态学方面。（4）生态学、作物产量估计、算法改进和验证是这些研究的热点。（5）拓宽研究领域，改进算法，克服异质表面、尺度效应和复杂地形中存在的困难将是未来研究的趋势。我们的工作为MODIS LAI/FPAR产品的发展提供了清晰的视角，并为学者拓宽研究领域提供了宝贵的信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

遥感学报 Social Sciences-Geography, Planning and Development

CiteScore

3.60

自引率

0.00%

发文量

3200

期刊介绍： The predecessor of Journal of Remote Sensing is Remote Sensing of Environment, which was founded in 1986. It was born in the beginning of China's remote sensing career and is the first remote sensing journal that has grown up with the development of China's remote sensing career. Since its inception, the Journal of Remote Sensing has published a large number of the latest scientific research results in China and the results of nationally-supported research projects in the light of the priorities and needs of China's remote sensing endeavours at different times, playing a great role in the development of remote sensing science and technology and the cultivation of talents in China, and becoming the most influential academic journal in the field of remote sensing and geographic information science in China. As the only national comprehensive academic journal in the field of remote sensing in China, Journal of Remote Sensing is dedicated to reporting the research reports, stage-by-stage research briefs and high-level reviews in the field of remote sensing and its related disciplines with international and domestic advanced level. It focuses on new concepts, results and progress in this field. It covers the basic theories of remote sensing, the development of remote sensing technology and the application of remote sensing in the fields of agriculture, forestry, hydrology, geology, mining, oceanography, mapping and other resource and environmental fields as well as in disaster monitoring, research on geographic information systems (GIS), and the integration of remote sensing with GIS and the Global Navigation Satellite System (GNSS) and its applications.