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Matthew Gaddes
Matthew Gaddes
Research Fellow, University of Leeds
Verified email at leeds.ac.uk - Homepage
Title
Cited by
Cited by
Year
Using machine learning to automatically detect volcanic unrest in a time series of interferograms
ME Gaddes, A Hooper, M Bagnardi
Journal of Geophysical Research: Solid Earth 124 (11), 12304-12322, 2019
632019
Blind signal separation methods for InSAR: The potential to automatically detect and monitor signals of volcanic deformation
ME Gaddes, A Hooper, M Bagnardi, H Inman, F Albino
Journal of Geophysical Research: Solid Earth 123 (11), 10,226-10,251, 2018
552018
Simultaneous classification and location of volcanic deformation in SAR interferograms using a convolutional neural network
M Gaddes, A Hooper, F Albino
EarthArXiv, 2021
62021
Exploiting InSAR on a large scale for tectonics and volcano monitoring
A Hooper, TJ Wright, JR Weiss, C Rollins, M Gaddes, M Lazecky, ...
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
42020
Global monitoring of fault zones and volcanoes with Sentinel-1
A Hooper, TJ Wright, K Spaans, J Elliott, JR Weiss, M Bagnardi, EL Hatton, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
42018
Stresses in the lunar interior: Insights from slip directions in the A01 deep moonquake nest
AR Turner, JC Hawthorne, M Gaddes
Journal of Geophysical Research: Planets 127 (12), e2022JE007364, 2022
32022
Simultaneous classification and location of deformation in SAR interferograms using deep learning
M Gaddes, A Hooper, F Albino
EarthArXiv preprint, 2021
22021
Towards Improved Forecasting of Volcanic Hazards Using Machine Learning Applied to InSAR Data
A Hooper, M Gaddes, M Bagnardi, F Albino
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8484 …, 2021
12021
Towards global monitoring of tectonic and volcanic hazards using Sentinel-1
A Hooper, T Wright, K Spaans, R Walters, J Elliott, J Weiss, M Bagnardi, ...
EGU General Assembly Conference Abstracts, 10855, 2018
12018
COMET-LICSAR: Systematic Deformation Monitoring of Fault Zones and Volcanoes with the Sentinel-1 Constellation
TJ Wright, AJ Hooper, K Spaans, EL Hatton, PJ González, S Bhattarai, ...
2017 AGU Fall Meeting, 2017
12017
A Comprehensive Observational Database of Global Volcanic Deformation for Deep Learning Applications
L Shen, AJ Hooper, M Lazecky, M Gaddes, C Novoa, SK Ebmeier, ...
AGU23, 2023
2023
Monitoring and Interpreting Shanghai Maglev Deformation Using Deep Clustering on MT-InSAR Analyses
R Wang, A Hooper, M Gaddes, M Liao
EGU General Assembly Conference Abstracts, EGU-15690, 2023
2023
A comprehensive observational database of deformation at global volcanoes for machine learning applications
L Shen, A Hooper, M Lazecky, M Gaddes, S Ebmeier
EGU General Assembly Conference Abstracts, EGU-8781, 2023
2023
Towards Routine Global Volcano Monitoring Using Sentinel-1 Data and the LiCSAlert Algorithm
M Gaddes, A Hooper, S Ebmeier
AGU Fall Meeting Abstracts 2021, V33C-05, 2021
2021
Towards global volcano monitoring using Sentinel-1 data and the LiCSAlert algorithm
M Gaddes, AJ Hooper
AGU Fall Meeting Abstracts 2020, G004-0036, 2020
2020
Classifying and Locating Deformation in SAR Interferograms Using Deep Learning
M Gaddes, A Hooper, F Albino
Automatic Detection of Volcanic Unrest Using Interferometric Synthetic …, 2019
2019
Automatic Detection of Volcanic Unrest Using Interferometric Synthetic Aperture Radar
ME Gaddes
University of Leeds, 2019
2019
Automatic detection of deformation at volcanoes globally
AJ Hooper, M Gaddes, M Bagnardi
AGU Fall Meeting Abstracts 2018, G14A-01, 2018
2018
Using LiCSAR as a fast-response system for the detection and the monitoring of volcanic unrest
F Albino, J Biggs, EL Hatton, K Spaans, M Gaddes, A McDougall
AGU Fall Meeting Abstracts 2017, G23A-0892, 2017
2017
COMET-LICSAR: Systematic Deformation Monitoring of Fault Zones and Volcanoes with the Sentinel-1 Constellation
K Spaans, TJ Wright, AJ Hooper, EL Hatton, PJ González, S Bhattarai, ...
AGU Fall Meeting Abstracts 2017, G34A-01, 2017
2017
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