基于CiteSpace的农作物遥感估产知识图谱分析

为了更直观地了解国内外农作物遥感估产研究现状,本文运用CiteSpace软件对CNKI中文数据库与WOS英文数据库中关于农作物估产研究的825篇文献进行可视化分析得到知识图谱。结果表明,作物遥感估产领域的核心关键词主要是(冬)小麦、植被指数和模型,以冬小麦为估产对象研究讨论的文章居多;国内在作物遥感估产领域的作者发文量差异较大,合作呈现“大部分集中,小部分分散”的分布方式;发文机构主要集中在北京、浙江和江苏等地的中科院二级机构、地方研究所和大学;WOS数据库中,美国、中国和印度在该领域刊文数量排名前3;WOS数据库文献的共引分析中,共引次数排名前10的文章,共引次数均达到15以上,这些文章代表了作物遥感估产领域的基础知识和研究前沿的演变。

Knowledge Structure Analysis of Crop Yield Estimation using Remote Sensing based on CiteSpace

In order to have a more intuitive understanding of the research status of remote sensing yield estimation at home and abroad,we use CiteSpace software to analyze 825 documents about crop yield estimation in CNKI Chinese database and WOS English database,and get the knowledge map.The results showed that the key words of crop yield estimation by remote sensing are mainly(winter)wheat,vegetation index and model,and most of the papers are about winter wheat yield estimation.In the field of crop yield estimation using remote sensing,there is a large difference in the amount of papers published by authors in China,and the cooperation shows the distribution mode of"most concentrated,small scattered".The issuing institutions are mainly secondary institutions,local research institutes and universities of Chinese Academy of Sciences in Beijing,Zhejiang and Jiangsu.The top 3 countries in the WOS database are the United States,China and India.In the co citation analysis of documents in WOS database,the top 10 articles with the number of co-citation are all over 15.These papers represent the evolution of basic knowledge and research frontier in crop yield estimation by remote sensing.