Python Tools for Estimating Ice Sheet Grounding Zone Locations with data from NASA polar altimetry missions
- cdsapi: Python client libraries for the CDS Web API
- cartopy: Python package designed for geospatial data processing
- dateutil: powerful extensions to datetime
- earthengine-api: Python bindings for calling the Earth Engine API
- fiona: Python wrapper for vector data access functions from the OGR library
- gdal: Pythonic interface to the Geospatial Data Abstraction Library (GDAL)
- h5py: Python interface for Hierarchal Data Format 5 (HDF5)
- lxml: processing XML and HTML in Python
- matplotlib: Python 2D plotting library
- mpi4py: Python bindings of the Message Passing Interface (MPI)
- netCDF4: Python interface to the netCDF C library
- numpy: Scientific Computing Tools For Python
- pyproj: Python interface to PROJ library
- pyTMD: Python-based tidal prediction software
- PyYAML: YAML parser and emitter for Python
- read-ICESat-2: Python tools to read data from the NASA ICESat-2 mission
- read-ATM1b-QFIT-binary: Python reader for Airborne Topographic Mapper (ATM) QFIT data products
- scikit-learn: Machine Learning in Python
- scipy: Scientific Tools for Python
- shapely: PostGIS-ish operations outside a database context for Python
T. C. Sutterley, T. Markus, T. A. Neumann, M. R. van den Broeke, J. M. van Wessem, and S. R. M. Ligtenberg, "Antarctic ice shelf thickness change from multimission lidar mapping", The Cryosphere, 13, 1801-1817, (2019). doi:tc-13-1801-2019
https://github.com/tsutterley/Grounding-Zones
A zip archive of the latest version is available directly at:
https://github.com/tsutterley/Grounding-Zones/archive/main.zip
This project contains work and contributions from the scientific community. 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) or NASA. The software is provided here for your convenience but with no guarantees whatsoever.
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.