A Regularization Method for Landslide Thickness Estimation
2024

Estimating Landslide Thickness from Satellite Data

publication 10 minutes Evidence: moderate

Author Information

Author(s): Borgatti Lisa, Donati Davide, Hu Liwei, Landi Germana, Zama Fabiana

Primary Institution: University of Bologna

Hypothesis

Can a regularization method based on mass conservation principles effectively estimate landslide thickness from satellite-derived elevation data?

Conclusion

The proposed method successfully estimates landslide thickness and shows good agreement with geological interpretations.

Supporting Evidence

  • The method was validated using synthetic datasets that provided controlled conditions for testing.
  • Results showed that the method maintained stability and accuracy across various noise levels.
  • The application to real-world data from the Fels landslide demonstrated the method's practical value.

Takeaway

This study created a way to figure out how thick landslides are using satellite pictures, which helps keep people safe from landslides.

Methodology

The study used a regularization approach based on mass conservation principles to solve an inverse problem for estimating landslide thickness.

Potential Biases

The method may be sensitive to noise in the input data from various measurement technologies.

Limitations

Real datasets are noisy and complex, making it difficult to derive a unique basal surface.

Digital Object Identifier (DOI)

10.3390/jimaging10120314

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