M. Gaddes

Exploiting InSAR on a Large Scale for Tectonics and Volcano Monitoring

T. Wright, A. Hooper, R. Walters, 2020, IEEE International Geoscience and Remote Sensing Symposium.

Towards Improved Forecasting of Volcanic Hazards Using Machine Learning Applied to InSAR Data

A. Hooper, M. Bagnardi, F. Albino, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Blind Signal Separation Methods for InSAR: The Potential to Automatically Detect and Monitor Signals of Volcanic Deformation

Andrew Hooper, Fabien Albino, Marco Bagnardi, 2018, Journal of Geophysical Research: Solid Earth.

Simultaneous classification and location of volcanic deformation in SAR interferograms using deep learning and the VolcNet database

A. Hooper, F. Albino, M. Gaddes, 2021 .

Simultaneous classification and location of deformation in SAR interferograms using deep learning

A. Hooper, F. Albino, M. Gaddes, 2021 .

Using Machine Learning to Automatically Detect Volcanic Unrest in a Time Series of Interferograms

M. E. Gaddes, M. Bagnardi, M. Bagnardi, 2019, Journal of Geophysical Research: Solid Earth.

Global Monitoring of Fault Zones and Volcanoes with Sentinel-1

Qiang Qiu, John Elliott, Karsten Spaans, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Blind Signal Separation Methods for InSAR: The Potential to Automatically Detect and Monitor Signals of Volcanic Deformation

A. Hooper, M. Bagnardi, F. Albino, 2018 .

Simultaneous classification and location of volcanic deformation 1 in SAR interferograms using a convolutional neural network

A. Hooper, F. Albino, M. Gaddes, 2023 .