Estimating Landfill Landslide Probability Using SAR Satellite Products: A Novel Approach

This article presents a methodology for evaluating the susceptibility of landfill areas to develop landslides by analyzing Synthetic Aperture Radar (SAR) satellite products. The deformation velocity of the landfills is computed through the Persistent Scatterer Method on SAR imagery. These data, comb...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2024-05, Vol.16 (9), p.1618
Main Authors: García-Gutiérrez, Adrián, Gonzalo, Jesús, Rubio, Carlos, Corvino, Maria Michela
Format: Article
Language:English
Subjects:
Algorithms
Artificial satellites in remote sensing
Comparative analysis
Decision making
Deformation
Effectiveness
Environmental aspects
Identification and classification
Interferometry
Landfill
Landfill management
Landfills
landslide
Landslides
Landslides & mudslides
Methods
Moisture content
monitoring
Municipal solid waste
Onsite
Rain
Risk assessment
Safety and security measures
Sanitary landfills
SAR
satellite
Satellites
Shallow water
Shallow water equations
Shear strength
Synthetic aperture radar
Waste disposal sites
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Summary:This article presents a methodology for evaluating the susceptibility of landfill areas to develop landslides by analyzing Synthetic Aperture Radar (SAR) satellite products. The deformation velocity of the landfills is computed through the Persistent Scatterer Method on SAR imagery. These data, combined with a deformation model based on the shallow water equations (SWE), form the foundation for a Monte Carlo experiment that extrapolates the current state of the landfill into the future. The results of this simulation are then employed to determine the probability of a landslide occurrence. In order to validate the methodology effectiveness, a case study is conducted on a landfill in Zaldibar, Spain, revealing its effectiveness in estimating the probability of landfill landslides. This innovative approach emerges as an asset in large landfill management, acting as a proactive tool for identifying high-risk sites and preventing potential landslides, ultimately safeguarding human life and the environment. By providing insights into landslide probabilities, this study enhances decision-making processes and facilitates the development of intervention strategies in the domain of landfill risk assessment and management.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs16091618