Lissak, Candide and Bartsch, Annett and De Michele, Marcello and Gomez, Christopher and Maquaire, Olivier and Raucoules, Daniel and Roulland, Thomas (2020) Remote Sensing for Assessing Landslides and Associated Hazards. Surveys in Geophysics, 41 (6). 1391 – 1435. ISSN 01693298
Full text not available from this repository. (Request a copy)Abstract
Multi-platform remote sensing using space-, airborne and ground-based sensors has become essential tools for landslide assessment and disaster-risk prevention. Over the last 30 years, the multiplicity of Earth Observation satellites mission ensures uninterrupted optical and radar imagery archives. With the popularization of Unmanned Aerial Vehicles, free optical and radar imagery with high revisiting time, ground and aerial possibilities to perform high-resolution 3D point clouds and derived digital elevation models, it can make it difficult to choose the appropriate method for risk assessment. The aim of this paper is to review the mainstream remote-sensing methods commonly employed for landslide assessment, as well as processing. The purpose is to understand how remote-sensing techniques can be useful for landslide hazard detection and monitoring taking into consideration several constraints such as field location or costs of surveys. First we focus on the suitability of terrestrial, aerial and spaceborne systems that have been widely used for landslide assessment to underline their benefits and drawbacks for data acquisition, processing and interpretation. Several examples of application are presented such as Interferometry Synthetic Aperture Radar (InSAR), lasergrammetry, Terrestrial Optical Photogrammetry. Some of these techniques are unsuitable for slow moving landslides, others limited to large areas and others to local investigations. It can be complicated to select the most appropriate system. Today, the key for understanding landslides is the complementarity of methods and the automation of the data processing. All the mentioned approaches can be coupled (from field monitoring to satellite images analysis) to improve risk management, and the real challenge is to improve automatic solution for landslide recognition and monitoring for the implementation of near real-time emergency systems. © 2020, Springer Nature B.V.
Item Type: | Article |
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Additional Information: | Cited by: 91 |
Uncontrolled Keywords: | Antennas; Data acquisition; Data handling; Disaster prevention; Hazards; Image enhancement; Landslides; Radar imaging; Real time systems; Risk assessment; Risk management; Space optics; Space-based radar; Synthetic aperture radar; Tracking radar; Digital elevation model; Earth observation satellites; Emergency system; Ground based sensors; Interferometry synthetic aperture radars; Landslide hazard; Remote sensing techniques; Spaceborne systems; data set; digital elevation model; ground-based measurement; hazard assessment; image resolution; landslide; machine learning; remote sensing; risk assessment; Remote sensing |
Subjects: | G Geography. Anthropology. Recreation > GB Physical geography |
Divisions: | Faculty of Geography |
Depositing User: | Sri JUNANDI |
Date Deposited: | 25 Apr 2025 03:19 |
Last Modified: | 25 Apr 2025 03:19 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/14974 |