Interactive visualization and data extraction tool for ICESat-2 ATL14/15 Gridded Land Ice Height Products
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For more information: see the documentation at is2view.readthedocs.io or the ICESat-2 websites at NASA Goddard Space Flight Center or the National Snow and Ice Data Center
From PyPI:
python3 -m pip install IS2viewTo include all optional dependencies:
python3 -m pip install IS2view[all]Using conda or mamba from conda-forge:
conda install -c conda-forge is2viewmamba install -c conda-forge is2viewDevelopment version from GitHub:
python3 -m pip install git+https://github.com/tsutterley/IS2view.gitAlternatively, you can use Pixi for a streamlined workspace environment:
- Install Pixi following the installation instructions
- Clone the project repository:
git clone https://github.com/tsutterley/IS2view.git- Move into the
IS2viewdirectory
cd IS2view- Install dependencies and start JupyterLab:
pixi run startThis will automatically create the environment, install all dependencies, and launch JupyterLab in the notebooks directory.
- dask: Parallel computing with task scheduling
- geopandas: Python tools for geographic data
- h5netcdf: Pythonic interface to netCDF4 via h5py
- ipyleaflet: Interactive maps in the Jupyter notebook
- matplotlib: Python 2D plotting library
- numpy: Scientific Computing Tools For Python
- rasterio: Access to geospatial raster data
- rioxarray: geospatial xarray extension powered by rasterio
- xarray: N-D labeled arrays and datasets in Python
The program homepage is:
https://github.com/tsutterley/IS2view
A zip archive of the latest version is available directly at:
https://github.com/tsutterley/IS2view/archive/main.zip
This package includes software developed at NASA Goddard Space Flight Center (GSFC) and the University of Washington Applied Physics Laboratory (UW-APL). It is not sponsored or maintained by the Universities Space Research Association (USRA), AVISO or NASA. The software is provided here for your convenience but with no guarantees whatsoever.
This project contains work and contributions from the scientific community. If you would like to contribute to the project, please have a look at the contribution guidelines, open issues and discussions board.
The content of this project is licensed under the Creative Commons Attribution 4.0 Attribution license and the source code is licensed under the MIT license.
