无人机系统在河流监测中的应用:过去 25 年的文献计量分析

A. Pizarro, D. Valera-Gran, E. Navarrete-Muñoz, S. F. Dal Sasso
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引用次数: 0

摘要

用于河道监测的尖端技术为这一领域带来了革命性的变化,使数据收集、分析和解释更加全面。传统监测方法的空间和时间分辨率有限,但遥感、无人机系统(UASs)和其他创新技术的进步极大地增强了河流监测能力。配备先进传感器的无人机系统可以捕捉高分辨率地形数据,生成精确的数字高程模型,并提供河道、河岸和河岸带的图像,从而实现详细而精确的河道监测。通过这些数据可以识别侵蚀和沉积模式、量化沉积物迁移、评估栖息地质量以及监测河流流量。后者使我们能够了解河流在各种水文事件(包括洪水、干旱和季节性变化)期间的动态变化。本手稿旨在提供有关使用无人机系统进行河流监测的主要研究主题和文献的最新情况。后者是通过对出版趋势进行文献计量分析来实现的,并确定了该领域的关键主题和合作网络。文献计量分析显示了出版物数量、引用次数、贡献最多的国家、出版最多的期刊、贡献最多的机构和贡献最多的作者的趋势。从 1999 年到 2023 年,共有 1085 篇关于河流无人机系统监控的论文发表,年增长率稳定在 24.44%。书目记录是从 Web of Science (WoS) 数据库导出的,使用了一套完整的关键词。使用 R 软件对从 WoS 数据库获得的原始数据进行了文献计量分析。分析结果突出显示了在河流监测中使用无人机系统的重要趋势和宝贵见解,尤其是在过去十年中。作者最常使用的关键词概括了无人机系统监测研究的核心主题,并强调了该领域的跨学科性质和合作努力。"河流"、"地形"、"摄影测量 "和 "运动结构 "是无人机系统监测研究的核心主题。这些发现可以指导未来的研究,促进新的跨学科合作。
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The Use of Unmanned Aerial Systems for River Monitoring: A Bibliometric Analysis Covering the Last 25 Years
Cutting-edge technology for fluvial monitoring has revolutionised the field, enabling more comprehensive data collection, analysis, and interpretation. Traditional monitoring methods were limited in their spatial and temporal resolutions, but advancements in remote sensing, unmanned aerial systems (UASs), and other innovative technologies have significantly enhanced the fluvial monitoring capabilities. UASs equipped with advanced sensors enable detailed and precise fluvial monitoring by capturing high-resolution topographic data, generate accurate digital elevation models, and provide imagery of river channels, banks, and riparian zones. These data enable the identification of erosion and deposition patterns, the quantification of sediment transport, the evaluation of habitat quality, and the monitoring of river flows. The latter allows us to understand the dynamics of rivers during various hydrological events, including floods, droughts, and seasonal variations. This manuscript aims to provide an update on the main research themes and topics in the literature on the use of UASs for river monitoring. The latter is achieved through a bibliometric analysis of the publication trends and identifies the field’s key themes and collaborative networks. The bibliometric analysis shows trends in the number of publications, number of citations, top contributing countries, top publishing journals, top contributing institutions, and top authors. A total of 1085 publications on UAS monitoring in rivers are identified, published between 1999 and 2023, showing a steady annual growth rate of 24.44%. Bibliographic records are exported from the Web of Science (WoS) database using a comprehensive set of keywords. The bibliometric analysis of the raw data obtained from the WoS database is performed using the R software. The results highlight important trends and valuable insights related to the use of UASs in river monitoring, particularly in the last decade. The most frequently used author keywords outline the core themes of UASs monitoring research and highlight the interdisciplinary nature and collaborative efforts within the field. “River”, “topography”, “photogrammetry”, and “Structure-from-Motion” are the core themes of UASs monitoring research. These findings can guide future research and promote new interdisciplinary collaborations.
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