MAGMA-net
January 21, 2026
This repository contains a multimodal deep learning model to assess the deformation state of Mauna Loa given combined Interferometric Synthetic Aperture radar (InSAR) and Global Navigation Satellite System (GNSS) data. The multimodal model consists of two separate branches, one devoted to InSAR data and another devoted to GNSS data. All code necessary for the models to run and in support of Paladino et al., (2026) are found in this repository, including code to assess the performance of the model, to train the model, and run explainability metrics.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | MAGMA-net |
| DOI | 10.5066/P13TSQUQ |
| Authors | Tyler G Paladino |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | USGS Volcano Science Center |
| Rights | This work is marked with CC0 1.0 Universal |
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