  We have implemented an extension for the observational seismology obspy
software package to provide a streamlined tool tailored to the processing of
seismic signals from non-earthquake sources, in particular those from deforming
systems such as glaciers and landslides. This seismic attributes library
provides functionality to: (1) download and/or pre-process seismic waveform
data; (2) detect and catalogue seismic events using multi-component signals
from one or more seismometers; and (3) calculate characteristics
('attributes'/'features') of the identified events. The workflow is controlled
by three main functions that have been tested for the breadth of data types
expected from permanent and campaign-deployed seismic instrumentation. A
selected STA/LTA-type (short-term average/long-term average), or other, event
detection algorithm can be applied to the waveforms and user-defined functions
implemented to calculate any required characteristics of the detected events.
The code is written in Python 2/3 and is available on GitHub together with
detailed documentation and worked examples.
