ITS_LIVEpy

A Python client for ITSLIVE glacier velocity data.

Installing itslive

pip install itslive

Or with Conda

conda install -c conda-forge itslive

In addition to NetCDF image pairs and mosaics, ITS_LIVE produces cloud-optimized Zarr data cubes, which contain all image-pair data co-aligned on a common grid for simplified data access. Cloud optimization enable rapid analysis without intermediary APIs or services and ITS_LIVE cubes can map directly into Python xarray or Julia ZArray structures.

This library can be used as a stand alone tool to extract velocity time series from any given lon, lat pair on land glaciers. e.g.

Using a Jupyter notebook

import itslive

points=[(-47.1, 70.1),
        (-46.1, 71.2)]

velocities = itslive.velocity_cubes.get_time_series(points=points)

Using the terminal

itslive-export --lat 70.153 --lon -46.231 --format csv --outdir greenland

netcdf and csv formats are supported. We can print the output to stdout with:

itslive-export --lat 70.153 --lon -46.231 --format stdout

We can also plot any of the ITS_LIVE variables directly on the terminal by executing itslive-plot, e.g.

itslive-plot --lat 70.1 --lon -46.1 --variable v

Operations for the aggegation can be mean,max,min,average,median etc and the frequency is represented with a single character i.e. d=day, w=week, m=month.

Try it in your browser without installing anything!