基于科学知识图谱的我国农业遥感监测研究态势分析

Situation Analysis of Agricultural Remote Sensing Monitoring Research in China Based on Scientific Knowledge Graph

农业遥感监测已成为我国及时、可靠、全面的农业信息获取主要途径之一,为保障我国粮食安全、主要农产品生产和农业可持续发展做出了重要贡献。文中基于CNKI数据库中1992~2022年间关于农业遥感监测研究的文献3163篇,采用科学知识图谱工具VOSviewer可视化处理,结合文献计量分析法和定量分析法对我国农业遥感监测领域的研究态势及科研竞争力进行深入分析。结果表明:农业遥感监测研究历程可分为萌芽期、稳步发展期、波动增长期3个阶段,总体呈波动增长趋势;中国科学院、中国农业科学院、中国气象局发文量较高,总被引频次靠前,北京大学、国家农业信息化工程技术研究中心、南京大学在农业遥感监测领域的文献篇均被引频次较高;黄文江、吴炳方、刘良云发文量和总被引频次排在前3位,王长耀、杨邦杰和陈仲新篇均被引频次较高;《遥感学报》为该领域综合竞争力最强的期刊;农业环境监测、土地利用监测、作物农情监测、植被指数和植被覆盖度监测、干旱灾害监测为主要研究方向;以冬小麦、土地利用、干旱监测、植被指数、植被覆盖为研究热点。未来研究趋向于采用多源融合数据源、人工智能和机器视觉等多技术集成,以实现精准和智能监测。

Agricultural remote sensing monitoring has become one of the main ways to obtain timely,reliable and comprehensive agricultural information in China,and has made important contributions to guarantee food security,production of major agricultur-al products and sustainable agricultural development in China.In this paper,based on 3163 documents about agricultural remote sensing monitoring research in CNKI database between 1992 and 2022,the scientific knowledge mapping tool VOSviewer is used to visualize and process the research trend and scientific competitiveness in the field of agricultural remote sensing monitoring in China by combining bibliometric analysis and quantitative analysis.The results show that:the research history of agricultural re-mote sensing monitoring can be divided into three stages:budding stage,steady development stage and fluctuating growth stage,with an overall trend of fluctuating growth;the Chinese Academy of Sciences,Chinese Academy of Agricultural Sciences and Chi-nese Meteorological Administration have a high number of publications and the total citation frequency is high;Peking University,National Agricultural Informatization Engineering Technology Research Center and Nanjing University have a high citation fre-quency in the field of agricultural remote sensing monitoring;Huang Wenjiang The Journal of Remote Sensing is the most compet-itive journal in this field;agricultural environment monitoring,land use monitoring,crop farming monitoring,vegetation index and vegetation cover monitoring,drought disaster monitoring are the main research directions;winter wheat,land use,drought monitoring,vegetation index and vegetation cover are the main research directions,Vegetation index and vegetation cover are the hot spots of research.Future research tends to adopt multi-source fusion data sources,artificial intelligence and machine vision and other multi-technology integration to achieve accurate and intelligent monitoring.