灾害学2024，Vol.39Issue(2)：136-144,9.DOI:10.3969/j.issn.1000-811X.2024.02.021
基于文献计量的遥感干旱监测研究进展
Progress in Bibliometric-based Remote Sensing Drought Monitoring Research
摘要
Abstract
A visual analysis of 7294 papers from the Web of Science(WOS)core database and 1685 papers from the China National Knowledge Infrastructure(CNKI)database related to remote sensing drought monitoring research is conducted.The results show that:① Research in the WOS database has gone through a trend of explo-ration,slow growth,and then rapid increase,while CNKI data shows a trend of exploration,rapid growth,fol-lowed by slow growth or even a slight decrease.② Research institutions both in China and in the United States rank first and second in terms of publication output in this field,and have the closest collaborative relationship in the field of remote sensing thought monitoring,and the Chinese Academy of Sciences has the most prolific institution.Nanjing University of Information Science and Technology has the highest publication output in the CNKI database.③ Keywords related to drought definition,such as"precipitation,""soil moisture,"and"soil moisture content,"have a high frequency of occurrence.Keywords related to the impact of drought(vegetation),its causes(climate change),and monitoring methods(drought indices)also appear frequently.Machine learning and deep learning algorithms have been widely introduced into drought monitoring and have become emerging keywords.The study of basic drought types and their propagation,as well as the response of vegetation,especially typical vegetation,to drought,is a research hotspot.Multi-index remote sensing monitoring methods and satellite precipitation data are important means for remote sensing drought monitoring.关键词
干旱监测/遥感/文献计量/知识图谱Key words
drought monitoring/remote sensing/bibliometric/knowledge graph分类
农业科技引用本文复制引用
刘旭,管梦鸾,李鑫磊,谷昌军..基于文献计量的遥感干旱监测研究进展[J].灾害学,2024,39(2):136-144,9.基金项目
国家重点研发计划多灾种灾害风险遥感监测预警实战应用(2021YFB3901205) （2021YFB3901205）
