Remote Sensing and Numerical Modeling for Landslide Analysis
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 January 2025 | Viewed by 3301
Special Issue Editors
Interests: landslides; rock mass characterization remote sensing; numerical modelling
Special Issues, Collections and Topics in MDPI journals
Interests: rock mechanics; engineering geology; numerical modelling; remote sensing
Interests: geotechnics; natural hazards; remote sensing; landslide hazard
Special Issues, Collections and Topics in MDPI journals
Interests: geotechnics; natural hazards; remote sensing; numerical modelling
Interests: engineering geology; remote sensing; natural hazards; landslides; numerical modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the last two decades, advanced remote sensing methods and their applications have allowed geoscientists and engineers to investigate, characterize, and monitor the evolution and behavior of soil and rock slopes. Terrestrial, airborne, and satellite methods, including digital photogrammetry, laser scanning, and synthetic aperture radar, are today routinely employed in slope characterization, monitoring, as well as in hazard analysis and risk assessment. Remote sensing data are also important in the construction, constraint, and validation of numerical modelling analyses. Three-dimensional terrain models can be used in the creation of the numerical model slope geometry. Rock mass quality and discontinuity data can be used to determine slope model input material parameters and to define both discrete discontinuities and fracture networks at multiple scales, from the outcrop to the regional scale. Monitoring data can be used to constrain and validate the numerical modelling results and to assist in the identification of mechanism of failure and the factors that control the evolution and stability of a slope.
The aim of this Special Issue is to showcase novel applications, approaches, and workflows used to combine and integrate remote sensing data collection and numerical modelling analyses. This will encompass a broad variety of remote sensing methods and application techniques for the investigation of stable and unstable natural and engineered slopes, including open pit slopes, river embankments, and others.
Contributions that relate to, but may be not limited to, the following topics are encouraged:
- Remote sensing-based (e.g., digital photogrammetry and laser scanning) rock mass characterization for numerical stability analyses.
- Infrared and thermal remote sensing analyses for constraining groundwater and seepage in numerical models of slopes and for the identification, mapping, and characterization of rock bridges, exfoliation joints, weathering, and damage.
- Multi-spectral and hyperspectral data collection and/or analysis to evaluate moisture, discontinuity, or rock surface conditions for soil and rock slope simulations.
- Numerical modelling of slopes constrained and/or validated using terrestrial, airborne, and satellite monitoring data analysis (e.g., displacement, subsidence, and erosion).
- Remote sensing data collection and processing for the construction of discrete fracture networks (DFN) to be used for numerical modelling of slopes.
- Combination of remote sensing and geophysical datasets (e.g., acoustic emission, microseismicity, and tomography) for numerical modelling investigations.
- Applications of synthetic remote sensing datasets derived from numerical models.
Dr. Davide Donati
Prof. Dr. Doug Stead
Prof. Dr. Lisa Borgatti
Dr. Monica Ghirotti
Dr. Mirko Francioni
Guest Editors
Manuscript Submission Information
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Keywords
- landslides
- digital photogrammetry
- laser scanning
- infrared and multi-spectral methods
- slope monitoring
- numerical modelling
- rock mass characterization
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