Mirko Francioni

Orcid: 0000-0001-6358-374X

According to our database1, Mirko Francioni authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data.
Remote. Sens., January, 2024

2023
A Low-Cost and Fast Operational Procedure to Identify Potential Slope Instabilities in Cultural Heritage Sites.
Remote. Sens., December, 2023

Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Quantitative Characterization of Coastal Cliff Retreat and Landslide Processes at Portonovo-Trave Cliffs (Conero, Ancona, Italy) Using Multi-Source Remote Sensing Data.
Remote. Sens., September, 2023

3D Discrete Fracture Network Modelling from UAV Imagery Coupled with Tracer Tests to Assess Fracture Conductivity in an Unstable Rock Slope: Implications for Rockfall Phenomena.
Remote. Sens., March, 2023

2022
Modelling the Influence of Geological Structures in Paleo Rock Avalanche Failures Using Field and Remote Sensing Data.
Remote. Sens., 2022

2021
A Robust SAR Speckle Tracking Workflow for Measuring and Interpreting the 3D Surface Displacement of Landslides.
Remote. Sens., 2021

Maximizing Impacts of Remote Sensing Surveys in Slope Stability - A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction.
ISPRS Int. J. Geo Inf., 2021

2020
Digital Image Correlation of Google Earth Images for Earth's Surface Displacement Estimation.
Remote. Sens., 2020

Application of Unmanned Aerial Vehicle Data and Discrete Fracture Network Models for Improved Rockfall Simulations.
Remote. Sens., 2020

2019
A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes.
Remote. Sens., 2019

A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy.
Remote. Sens., 2019

Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope.
ISPRS Int. J. Geo Inf., 2019

2018
A combined field/remote sensing approach for characterizing landslide risk in coastal areas.
Int. J. Appl. Earth Obs. Geoinformation, 2018


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