Python tools for obtaining and working with ICESat-2 data
icepyx is both a software library and a community composed of ICESat-2 data users, developers, and the scientific community. We are working together to develop a shared library of resources - including existing resources, new code, tutorials, and use-cases/examples - that simplify the process of querying, obtaining, analyzing, and manipulating ICESat-2 datasets to enable scientific discovery.
icepyx aims to provide a clearinghouse for code, functionality to improve interoperability, documentation, examples, and educational resources that tackle disciplinary research questions while minimizing the amount of repeated effort across groups utilizing similar datasets. icepyx also hopes to foster collaboration, open-science, and reproducible workflows by integrating and sharing resources.
Many of these tools began as Jupyter Notebooks developed for and during the cryosphere themed ICESat-2 Hackweek at the University of Washington in June 2019 or as scripts written and used by the ICESat-2 Science Team members. This project combines and generalizes these scripts into a unified framework, making them accessible for everyone.
The simplest way to install icepyx is by using the
conda
package manager.
conda install icepyx
Alternatively, you can also install icepyx using pip.
pip install icepyx
More detailed instructions for installing icepyx can be found at https://icepyx.readthedocs.io/en/latest/getting_started/install.html
Listed below are example jupyter-notebooks
ICESat-2_DAAC_DataAccess_Example
ICESat-2_DAAC_DataAccess2_Subsetting
ICESat-2_DEM_comparison_Colombia_working
ICESat-2 Data Visualization Example
This community and software is developed with the goal of supporting science applications. Thus, our contributors (including those who have developed the packages used within icepyx) and maintainers justify their efforts and demonstrate the impact of their work through citations. Please see CITATION.rst for additional citation information.
Working with ICESat-2 data and have ideas you want to share? Have a great suggestion or recommendation of something you'd like to see implemented and want to find out if others would like that tool too? Come join the conversation at: https://discourse.pangeo.io/. Search for "icesat-2" under the "science" topic to find us.
We welcome and invite contributions to icepyx from anyone at any career stage and with any amount of coding experience! Check out our contribution guidelines to see how you can contribute.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.