The IceFlow python library simplifies accessing and combining data from several of NASA's cryospheric altimetry missions, including ICESat/GLAS, Operation IceBridge, and ICESat-2. In particular, IceFlow harmonizes the various file formats and georeferencing parameters across several of the missions' data sets, allowing you to analyze data across the multi-decadal time series.
The contents of the IceFlow folder include the IceFlow library itself, along with several Jupyter Notebooks that provide data access and harmonization using IceFlow. If you are new to IceFlow, we recommend starting at 0_introduction.ipynb, which provides a descriptive background on the data, as well as both map widget-based and programmatic-based options for accessing data from IceFlow.
To run the notebooks provided in this folder, please see the NSIDC-Data-Tutorials repository readme for instructions on several ways (using Binder, Docker, or Conda) to do this.
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Learn the basics about the data sets (pre-IceBridge, IceBridge, ICESat/GLAS and ICESat-2) served by the IceFlow library.
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Learn to access these data sets using the IceFlow user interface widget.
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Learn to access these data sets using the IceFlow API.
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Learn to read and analyze the data using IceFlow.