Machine Learning for Defining the Probability of Sentinel-1 Based Deformation Trend Changes Occurrence

Machine Learning for Defining the Probability of Sentinel-1 Based Deformation Trend Changes Occurrence

The continuous monitoring of displacements occurring on the Earth surface by exploiting MTInSAR (Multi Temporal Interferometry SAR) Sentinel-1 data is a solid reality, as testified by the ongoing operational ground motion service in the Tuscany region (Central Italy). In this framework, anomalies of...

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Bibliographic Details
Main Authors: Pierluigi Confuorto, Camilla Medici, Silvia Bianchini, Matteo Del Soldato, Ascanio Rosi, Samuele Segoni, Nicola Casagli
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
Sentinel-1
InSAR
geohazards
Random Forest
Subsidence
Landslide
Online Access:https://www.mdpi.com/2072-4292/14/7/1748

Internet

https://www.mdpi.com/2072-4292/14/7/1748

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