无人机技术的迅速发展为地理学研究提供了新的方法和思路,为了解无人机在地理学研究中的应用态势,以Web of Science核心合集中涉及无人机在地理学领域应用的相关文献作为数据源,采用文献计量方法对2002～2021年的3 911篇论文进行分析.结果表明,自2012年以来无人机地理学应用文献呈现显著增长趋势,增长率年平均值达54.7%;中国、美国在该领域均占据主导地位;关键词聚类结果表明应用主要集中在测量与地图学、地理信息系统、生态地理学、自然灾害和地貌学研究领域,其中测量与地图学应用最多,发文量占总量的27%,地理信息系统、生态地理学发文量增速最快,分别为73%和69%;热点关键词中,"CNN""Deep learning"等人工智能领域的关键词在近几年出现频率较高,表明"UAV+Deep learning"已成为当前研究热点之一.未来无人机遥感领域将出现更多的技术和理论创新,进一步推动其在地理学中的应用.
Application Tendency of Unmanned Aerial Vehicle for Geographical Research based on Bibliometric
The rapid development of Unmanned Aerial Vehicle(UAV)technology provides new methods for geographical research and promotes geographical research into a new stage of development.To understand the application trend of drones in geographical research,3 911 papers from 2002～2021 were analyzed by bibliomet-ric methods using the relevant literature on the application of drones in geography in the Web of Science core col-lection as the data source.The results show that the literature on UAV applications in geography has shown a rapid growth trend since 2012,with an annual average growth rate of 54.7%.China and USA dominate the ap-plications of UAV in geographical research.The keyword clustering results reflect the research systems of sur-veying and cartography,geomorphology,GIS,ecogeography and natural disaster science.Surveying and car-tography is currently the most used field for UAV,while GIS and ecogeography have the fastest growth rate.The number of articles issued in the fields of geographic information system and ecological geography has the fastest growth rate,with 73%and 69%growth rate respectively.At present,"UAV+Deep learning"is becom-ing a major trend in the combination of UAV and geographical research.As scholars strengthen cooperation and communication,more technical and theoretical innovations will emerge from UAV remote sensing to further promote its application in the field of geography.
Unmanned Aerial Vehicle(UAV)Web of ScienceGeographyBibliometricsResearch tendency
NETL
NSTL
万方数据
