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• System applies ML to detect potential anomalies in displacement time-series, and publishes detected results back to GRQ catalog.

• User logs into system to browse potential anomalies.
  Science story: Anomaly detection will inform scientists of possible volcanoes to monitor closely.

System Requirements

To run the necessary (fill in from info on ARIA-tools scripts git and MintPy, the working directory needs to import the following Python libraries: os, numpy, matplotlib, mintpy.
In addition, the ARIA-tools-docs repository needs to be downloaded, and the dependencies need to be installed. (note to self - dig deeper to find dependencies, then complete documentation herepossibly MintPy giy)

The configuration file necessary to run ARIA data through MintPy is attached below (can I attach it to this page?), and can also be found on the MintPy git.

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