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https://github.com/tsutterley/grounding-zones
Tools for Estimating Grounding Zone Locations with data from NASA Polar Altimetry Missions
https://github.com/tsutterley/grounding-zones
altimetry glaciers grounding-zone icesat-2 tides
Last synced: about 2 months ago
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Tools for Estimating Grounding Zone Locations with data from NASA Polar Altimetry Missions
- Host: GitHub
- URL: https://github.com/tsutterley/grounding-zones
- Owner: tsutterley
- License: mit
- Created: 2019-09-25T16:46:53.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-06-10T18:41:46.000Z (7 months ago)
- Last Synced: 2024-06-11T18:23:59.597Z (7 months ago)
- Topics: altimetry, glaciers, grounding-zone, icesat-2, tides
- Language: Python
- Homepage: https://grounding-zones.readthedocs.io
- Size: 3.55 MB
- Stars: 6
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
README
===============
Grounding-Zones
===============
|Language|
|License|
|Documentation Status|
.. |Language| image:: https://img.shields.io/badge/python-v3.8-green.svg
:target: https://www.python.org/
.. |License| image:: https://img.shields.io/badge/license-MIT-green.svg
:target: https://github.com/tsutterley/Grounding-Zones/blob/main/LICENSE
.. |Documentation Status| image:: https://readthedocs.org/projects/grounding-zones/badge/?version=latest
:target: https://grounding-zones.readthedocs.io/en/latest/?badge=latest
Python Tools for Estimating Ice Sheet Grounding Zone Locations with data from NASA polar altimetry missions
Dependencies
############
- `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 `_
References
##########
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 `_
T. C. Sutterley, I. Velicogna, E. J. Rignot, J. Mouginot, T. Flament, M. R. van den Broeke, J. M. van Wessem, C. H. Reijmer,
"Mass loss of the Amundsen Sea Embayment of West Antarctica from four independent techniques", *Geophysical Research Letters*,
41(23), 8421--8428, (2014). `doi:10.1002/2014GL061940 `_
Download
########
| The program homepage is:
| 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
Disclaimer
##########
This project contains work and contributions from the `scientific community <./CONTRIBUTORS.rst>`_.
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*.
License
#######
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 `_.