基于CiteSpace的洪涝灾害遥感监测评估研究进展

Research progress on flood disaster remote sensing monitoring and assessment based on CiteSpace

卫星遥感技术由于具有覆盖范围广、周期短、时效性强等优势,在洪涝灾害风险分析、损失评估以及灾后恢复与重建等方面发挥了巨大作用,受到国内外学者的广泛关注与研究。为深入了解当前洪涝灾害遥感监测评估研究热点及变化趋势,对2001~2021年国内外该领域相关文献进行定量分析与归纳总结。利用CiteSpace等可视化分析工具,从发文量、作者、主要发文机构及研究热点关键词等多方面,对洪涝灾害遥感监测与评估研究的特征与趋势进行分析。结果表明:(1)遥感技术应用于洪涝灾害监测评估研究的成果数量随时间变化呈增加趋势,外文文献数量上升态势明显高于中文文献数量;2018年以后国内学者在外文期刊论文发表数已超过中文期刊论文发表数。(2)在洪涝灾害遥感监测评估研究领域,中国学者发文量占全球总发文量的17.72%,中国科学院以54篇占据研究机构发文数量首位;中国学者国际合作比率为31.9%,国际合作积极性高,但学术影响力及国际合作比例还有提升空间。(3)欧美及南亚等国家和地区学者的研究成果得到较高关注,高被引论文主题从风险分析与评估逐步向机器学习、城市洪涝等内容转变。(4)地表分类、水体提取、动态监测、风险评估等主题是国内外学者长期关注的重点研究内容,城市洪涝、承洪韧性、机器学习等正成为洪涝灾害遥感监测领域新的研究热点。基于云计算的机器学习与深度学习技术发展将会给洪涝灾害遥感监测、评估与风险分析带来新机遇。

Due to the advantages of wide data coverage,short repetition period,and strong data timeliness,remote sensing technology has played a crucial role in flood disaster monitoring and risk assessment.Numerous researchers have used remote sensing techniques to conduct risk analysis or loss assessment for flood disasters and post-disaster recovery and reconstruction.To gain a deeper insight into current research hotspots and trends in flood disaster remote sensing monitoring and assessment,we used CiteSpace to conduct a bibliometric analysis using the 1901 literatures from WOS and CNKI in this field from 2001 to 2021 from the aspects of number of published papers,authors,major publishing organizations and keywords.The research findings indicated:①The total number of research papers applying remote sensing technology to flood monitoring and assessment has shown a significant increasing trend over time,with the number of English literature increasing more prominently than that of Chinese literature.Since 2018,Chinese scholars have published more papers in foreign journals than in Chinese journals.②In the field of flood disasters remote sensing monitoring and assessment research,papers published by Chinese scholars account for 17.72%of all papers published worldwide,with the Chinese Academy of Sciences ranking first among research institutions with 54 published papers.The level of international collaboration among Chinese scholars is 31.9%,indicating a high level of international cooperation;however,there is still room for improvement in terms of academic influence and the international cooperation ratio.③Research achievements by scholars from regions such as Europe,America,and South Asia have received considerable attention,and highly cited paper topics have gradually shifted from risk analysis and assessment to machine learning,urban flooding,and flood resilience.④Land cover classification,water body extraction,dynamic monitoring,and risk assessment are key research topics that have long been the focus of scholars both domestically and internationally.Urban flooding,flood resilience and machine learning are emerging as new research hotspots.The development of machine learning and deep learning technologies based on cloud computing will hold promising new opportunities for flood disaster remote sensing monitoring,assessment and risk analysis.