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glaft

GLAcier Feature Tracking testkit (GLAFT): evaluating glacier velocity products derived from feature tracking.

https://github.com/ncu-cryosensing/glaft

Science Score: 26.0%

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    Low similarity (8.7%) to scientific vocabulary

Keywords

cryosphere glaciers python remote-sensing science
Last synced: 6 months ago · JSON representation

Repository

GLAcier Feature Tracking testkit (GLAFT): evaluating glacier velocity products derived from feature tracking.

Basic Info
Statistics
  • Stars: 22
  • Watchers: 4
  • Forks: 3
  • Open Issues: 0
  • Releases: 3
Topics
cryosphere glaciers python remote-sensing science
Created over 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

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!

Owner

  • Name: NCU CryoSensing Team
  • Login: ncu-cryosensing
  • Kind: organization
  • Location: Taiwan

GitHub Events

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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