Machine learning for data-driven discovery in solid Earth geoscience
BACKGROUND The solid Earth, oceans, and atmosphere together form a complex
interacting geosystem. Processes relevant to understanding Earth's geosystem behavior …
interacting geosystem. Processes relevant to understanding Earth's geosystem behavior …
Machine learning in earthquake seismology
Machine learning (ML) is a collection of methods used to develop understanding and
predictive capability by learning relationships embedded in data. ML methods are becoming …
predictive capability by learning relationships embedded in data. ML methods are becoming …
Classification of earthquakes, explosions and mining-induced earthquakes based on XGBoost algorithm
T Wang, Y Bian, Y Zhang, X Hou - Computers & Geosciences, 2023 - Elsevier
The classification of low-magnitude tectonic earthquakes, explosions and mining-induced
earthquakes is an important task in regional earthquake monitoring. Seismic events …
earthquakes is an important task in regional earthquake monitoring. Seismic events …
[HTML][HTML] INSTANCE–the Italian seismic dataset for machine learning
The Italian earthquake waveform data are collected here in a dataset suited for machine
learning analysis (ML) applications. The dataset consists of nearly 1.2 million three …
learning analysis (ML) applications. The dataset consists of nearly 1.2 million three …
Regularized elastic full-waveform inversion using deep learning
Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …
potentially provides more accurate high-resolution reservoir characterization from seismic …
Landslide identification using machine learning techniques: Review, motivation, and future prospects
Abstract The WHO (World Health Organization) study reports that, between 1998-2017, 4.8
million people have been affected by landslides with more than 18000 deaths. The …
million people have been affected by landslides with more than 18000 deaths. The …
Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the twenty‐first century
A primary goal of volcanology is forecasting hazardous eruptive activity. Despite much
progress over the last century, however, volcanoes still erupt with no detected precursors …
progress over the last century, however, volcanoes still erupt with no detected precursors …
Seismic and acoustic signatures of surficial mass movements at volcanoes
Surficial mass movements, such as debris avalanches, rock falls, lahars, pyroclastic flows,
and outburst floods, are a dominant hazard at many volcanoes worldwide. Understanding …
and outburst floods, are a dominant hazard at many volcanoes worldwide. Understanding …
Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression
We develop an automated strategy for discriminating deep microseismic events from
shallow ones on the basis of the waveforms recorded on a limited number of surface …
shallow ones on the basis of the waveforms recorded on a limited number of surface …
[BOOK][B] Introduction to volcanic seismology
VM Zobin - 2011 - books.google.com
Volcanic seismology represents the main, and often the only, tool to forecast volcanic
eruptions and to monitor the eruption process. This book describes the main types of seismic …
eruptions and to monitor the eruption process. This book describes the main types of seismic …