GLAFT

Python module for assessing glacier velocity maps using statistics- and physics-based metrics.
https://github.com/ncu-cryosensing/glaft

Category: Cryosphere
Sub Category: Glacier and Ice Sheets

Keywords

cryosphere glaciers python remote-sensing science

Last synced: about 20 hours ago
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GLAcier Feature Tracking testkit (GLAFT): evaluating glacier velocity products derived from feature tracking.

README.md

GLAcier Feature Tracking testkit: glaft

A Python package for assessing and benchmarking feature-tracked glacier velocity maps derived from satellite imagery. Includes demo Notebook examples using data from Kaskawulsh glacier, Canada. See our user manual for more information.

Binder

Installation

Try GLAFT without installing: We recommend running our Quick Start notebook on MyBinder.org.

For cloud access: We recommend using the Ghub portal to launch GLAFT (registration required).

For local installation: GLAFT is available on PyPI and can be installed via pip.

pip install glaft

License

GLAFT uses the MIT License.

Contribution is always welcome!


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Dependencies

.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
  • peaceiris/actions-gh-pages v3.8.0 composite
requirements.txt pypi
  • cmcrameri *
  • geopandas *
  • matplotlib *
  • numpy *
  • rasterio *
  • scikit-learn *
  • scipy *
  • shapely *
environment.yml conda
  • cmcrameri
  • geopandas
  • jupyter-book 0.12.*
  • matplotlib
  • numpy
  • pandas
  • pip
  • python 3.8.*
  • rasterio
  • scikit-learn
  • scipy
  • seaborn
  • shapely
  • tabulate
setup.py pypi

Score: -Infinity