Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives
By Marco Scaioni, Laura Longoni, Valentina Melillo, Monica Papini. Remote Sensing, 2014
388 citations recorded by the source corpus.
Landslides represent major natural hazards, which cause every year significant loss of lives and damages to buildings, properties and lifelines. In the last decades, a significant increase in landslide frequency took place, in concomitance to climate change and the expansion of urbanized areas. Remote sensing techniques represent a powerful tool for landslide investigation: applications are traditionally divided into three main classes, although this subdivision has some limitations and borders are sometimes fuzzy. The first class comprehends techniques for landslide recognition, i.e., the mapping of past or active slope failures. The second regards landslide monitoring, which entails both ground deformation measurement and the analysis of any other changes along time (e.g., land use, vegetation cover). The third class groups methods for landslide hazard analysis and forecasting. The aim of this paper is to give an overview on the applications of remote-sensing techniques for the three categories of landslide investigations, focusing on the achievements of the last decade, being that previous studies have already been exhaustively reviewed in the existing literature. At the end of the paper, a new classification of remote-sensing techniques that may be pertinently adopted for investigating specific typologies of soil and rock slope failures is proposed.
Subfields: Aerospace Engineering, Global and Planetary Change, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/a186f2a2fa56a9800974aa42e28358905005b2c0
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In Aerospace Engineering
In Global and Planetary Change
In Management, Monitoring, Policy and Law
Citations in the corpus
- Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV) (2015, background): “[23], and we have hypothesized that movement of the landslide is triggered by extreme rainfall events, as precipitation is one of the main landslide triggering factors [35].”
- Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning (2017, background): “spectral satellite sensors are still under development (Scaioni et al., 2014).”