《遥感技术与应用》30年论文发表趋势

自《遥感技术与应用》1986年创刊以来,走过了30年的历程,现已成为国内遥感研究成果的主要载体之一。利用现有的CSCD和CNKI数据库,从文献计量角度分析《遥感技术与应用》30年的发文趋势。结果表明:30a来,《遥感技术与应用》的论文发表数量总体呈快速增长趋势;相关研究机构主要集中在西北和北京两地;Landsat和MODIS是研究最多的两种遥感数据;土地利用是关注最多的遥感应用研究。引文分析的结果表明《遥感技术与应用》刊载的论文被CSCD和SCI引用频次和期刊影响因子不断提高,进一步说明了学界对遥感技术相关问题的关注程度不断加强。此外,计算机技术、数据科学、大数据等技术的发展促进了遥感科学的发展;另一方面,自然灾害、大气环境问题、粮食安全和可持续发展问题以及"Future Earth"的战略部署,都需要依托遥感技术获取更为可靠的数据源、构建更加系统的数据平台及面向更加智能的决策平台。

Publication Trend of theRemote Sensing Technology and Application in Recent 30 Years based on Bibliometric Analysis

Remote Sensing Technology and Application has been published for 30 years,which is concentrated on remote sensing,GIS and the related issues.This article uses the detailed bibliographic data obtained from database(CSCD,CNKI and ISI WOS database) to analyze the publication trends of Remote Sensing Technology and Application in 30 years.Through analysis on articles' number,discipline classification,core-authors group,research hotspots,the annual variation of these indices have been illustrated,so do the research content and direction,research institutes and researchers' distribution change.The results indicate that in recent 30 years,the number of articles published presented a swift growth tendency;Landsat and MODIS are the two highest frequencies' remote sensing data.The results of bibliometric analysis on cited literatures about Remote Sensing Technology and Application shows that the citation frequencies by CSCD and SCI and the influence factors all increase unceasingly,which further explains the attention of researchers to remote sensing and the related issues is strengthened more and more.The development of technology,such as computer technology,data science,Big data will promote the development of remote sensing science;In addition,natural disasters,atmospheric environmental problems,food security,sustainable development and the Future Earth strategy,all need further development of remote sensing science,which need to develop more data source,systemic platform,and the process for more intelligent decisions.