https://github.com/nasa-jpl/itslive-py

Python client for ITSLIVE glacier ice velocities.
https://github.com/nasa-jpl/itslive-py

climate-change climate-science glaciers glaciology itslive nasa-data open-data xarray zarr

Last synced: 3 months ago
JSON representation

Python client for ITSLIVE glacier ice velocities.

• Host: GitHub
• URL: https://github.com/nasa-jpl/itslive-py
• Owner: nasa-jpl
• License: gpl-3.0
• Created: 2022-04-27T02:06:24.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-01-23T03:21:37.000Z (about 1 year ago)
• Last Synced: 2024-10-29T20:53:16.297Z (3 months ago)
• Topics: climate-change, climate-science, glaciers, glaciology, itslive, nasa-data, open-data, xarray, zarr
• Language: Python
• Homepage: https://its-live.jpl.nasa.gov/
• Size: 2.8 MB
• Stars: 16
• Watchers: 6
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# ITS_LIVEpy

# A Python client for ITSLIVE glacier velocity data.





    





    





    





## Installing *itslive*

```bash

pip install itslive

```

Or with Conda

```bash

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

```python

import itslive

points=[(-47.1, 70.1),

        (-46.1, 71.2)]

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

```

### Using the terminal

```bash

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:

```bash

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.

```bash

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! [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/betolink/itslive-vortex/main)