GLAFT
Python module for assessing glacier velocity maps using statistics- and physics-based metrics.
https://github.com/ncu-cryosensing/glaft
Keywords
cryosphere glaciers python remote-sensing science
Keywords from Contributors
binder earth-science research-and-development
Last synced: 1 day ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? false
- Fork? false
Repository metadata
GLAcier Feature Tracking testkit (GLAFT): evaluating glacier velocity products derived from feature tracking.
- Host: GitHub
- URL: https://github.com/ncu-cryosensing/glaft
- Owner: ncu-cryosensing
- License: mit
- Created: 2020-07-07T17:57:49.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-11-19T13:04:03.000Z (about 1 year ago)
- Last Synced: 2025-11-01T23:00:51.368Z (about 2 months ago)
- Topics: cryosphere, glaciers, python, remote-sensing, science
- Language: Jupyter Notebook
- Homepage: https://ncu-cryosensing.github.io/GLAFT/
- Size: 517 MB
- Stars: 23
- Watchers: 4
- Forks: 3
- Open Issues: 0
- Releases: 3
-
Metadata Files:
- Readme: README.md
- License: 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.
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 metadata
- Name: NCU CryoSensing Team
- Login: ncu-cryosensing
- Email:
- Kind: organization
- Description:
- Website: https://ncu-cryosensing.org/
- Location: Taiwan
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/203055798?v=4
- Repositories: 1
- Last ynced at: 2025-03-15T07:24:11.495Z
- Profile URL: https://github.com/ncu-cryosensing
GitHub Events
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Committers metadata
Last synced: 9 days ago
Total Commits: 138
Total Committers: 3
Avg Commits per committer: 46.0
Development Distribution Score (DDS): 0.145
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Whyjay Zheng | w****z@b****u | 118 |
| ShashankBice | s****l@u****u | 19 |
| Erik Sundell | e****l@g****m | 1 |
Committer domains:
- uw.edu: 1
- berkeley.edu: 1
Issue and Pull Request metadata
Last synced: 4 months ago
Total issues: 0
Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: 2 days
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
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Dependencies
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
- peaceiris/actions-gh-pages v3.8.0 composite
- cmcrameri *
- geopandas *
- matplotlib *
- numpy *
- rasterio *
- scikit-learn *
- scipy *
- shapely *
- cmcrameri
- geopandas
- jupyter-book 0.12.*
- matplotlib
- numpy
- pandas
- pip
- python 3.8.*
- rasterio
- scikit-learn
- scipy
- seaborn
- shapely
- tabulate
Score: 4.23410650459726