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mronacgiannone/DL_Seismoacoustic_Fusion

Repository associated with "Deep Multimodal Learning for Seismoacoustic Fusion to Improve Earthquake-Explosion Discrimination within the Korean Peninsula" (Ronac Giannone et al., 2024)

DL_Seismoacoustic_Fusion

The information in this repository outlines how to extract and process the seismic and infrasound data used to train both seismic and seismoacoustic neural networks as introduced in the manuscript, "Deep Multimodal Learning for Seismoacoustic Fusion to Improve Earthquake-Explosion Discrimination within the Korean Peninsula", (Ronac Giannone et al., 2024, in review). ObsPy and TensorFlow software packages are used for geophysical and deep learning analyses, respectively.

Install

To install:
conda env create -f environment.yml

Activate

To activate:
source activate koreageonet

Data

The data used in this study can be found at 10.5281/zenodo.10795252.

Additional Info

Array locations can be found in Korea_Array_Locations.zip. Earthquake-Explosion databases as well as spreadsheets containing information on individual array detections can be found in Spreadsheets.zip.

Languages

Jupyter Notebook95.1%Python4.9%

Contributors

Latest Release

v1.0.0March 7, 2024
Created March 7, 2024
Updated October 25, 2024
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