Application of digital technologies in landslide prediction, mapping, and monitoring

Gabriel Araújo, Alessandra Corsi, Eduardo Macedo, M. Futai
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Abstract

This paper presents a scoping review on the use of digital technologies for predicting, mapping, or continuously monitoring landslides on natural slopes. Articles and reviews published between 2001 and 2023 indexed by Scopus (Elsevier) were selected. The results showed that the number of publications involving this theme has been growing every year, with two periods of prominence: 2008-2010 and 2015-2021. China, Italy, India, USA and Taiwan are the five countries that published the most on the subject during the studied period. It was also found that remote sensing tools were the most used and showed strong stability, accompanied by artificial intelligence tools. Digital sensors have been widely used in Early Warning Systems, composing Wireless Sensors Network, monitoring terrain or climate variables. There is no doubt that digital technologies are extremely advantageous in relation to traditional technologies and that they already present themselves as a solution and confirm their trend of future consolidation.
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数字技术在滑坡预测、绘图和监测中的应用
本文就利用数字技术预测、绘制或持续监测天然斜坡上的滑坡进行了范围综述。本文选取了 Scopus(爱思唯尔)收录的 2001 年至 2023 年间发表的文章和评论。结果表明,涉及该主题的出版物数量逐年增长,其中2008-2010年和2015-2021年为两个突出时期。在研究期间,中国、意大利、印度、美国和中国台湾是发表该主题论文最多的五个国家。研究还发现,遥感工具是使用最多的工具,并表现出很强的稳定性,人工智能工具也是如此。数字传感器已广泛应用于预警系统、无线传感器网络、地形或气候变量监测。毫无疑问,与传统技术相比,数字技术具有极大的优势,而且数字技术已经成为一种解决方 案,并确认了其未来巩固的趋势。
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