GrIML
GrIML: A Python package for investigating Greenland's ice-marginal lakes under a changing climate - Published in JOSS (2025)
Science Score: 93.0%
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Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
Remote sensing classification of ice marginal lakes
Basic Info
- Host: GitHub
- Owner: GEUS-Glaciology-and-Climate
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://griml.readthedocs.io/
- Size: 150 MB
Statistics
- Stars: 8
- Watchers: 1
- Forks: 3
- Open Issues: 0
- Releases: 6
Topics
Metadata Files
README.md
GrIML - Investigating Greenland's ice-marginal lakes under a changing climate
The GrIML (Investigating Greenland's ice marginal lakes under a changing climate) processing package for classifying water bodies from satellite imagery using a multi-sensor, multi-method remote sensing approach. This workflow is used for the production of the Greenland ice-marginal lake inventory series, as part of the ESA GrIML project. This repository also holds all project-related materials.
Installation
The GrIML Python package can be installed using pip:
$ pip install griml
Or cloned from the Github repository:
$ git clone git@github.com:GEUS-Glaciology-and-Climate/GrIML.git
$ cd GrIML
$ pip install .
Full documentation and tutorials are available at GrIML's readthedocs
Workflow outline
GrIML proposes to examine ice marginal lake changes across Greenland using a multi-sensor and multi-method remote sensing approach to better address their influence on sea level contribution forecasting.
Ice-marginal lakes are detected using a remote sensing approach, based on offline workflows developed within the ESA Glaciers CCI (Option 6, An Inventory of Ice-Marginal Lakes in Greenland) (How et al., 2021). Initial classifications are performed using Google Earth Engine, with the scripts available here. Lake extents are defined through a multi-sensor approach using:
- Multi-spectral indices classification from Sentinel-2 optical imagery
- Backscatter classification from Sentinel-1 SAR (synthetic aperture radar) imagery
- Sink detection from ArcticDEM digital elevation models
Post-processing of these classifications is performed using the GrIML Python package, including raster-to-vector conversion, filtering, merging, metadata population, and statistical analysis.
Terms of use
If the workflow or data are presented or used to support results of any kind, please include an acknowledgement and references to the applicable publications:
How, P. et al. (2025) "Greenland Ice-Marginal Lake Inventory annual time-series Edition 1". GEUS Dataverse. https://doi.org/10.22008/FK2/MBKW9N
How, P. et al. (In Review) "Greenland ice-marginal lake inventory series from 2016 to 2023". Earth Syst.Sci. Data Discuss. https://doi.org/10.5194/essd-2025-18
How, P. (2025). "GrIML: A Python package for investigating Greenland's ice-marginal lakes under a changing climate". J. Open Source Software 10(111), 7927, https://doi.org/10.21105/joss.07927
How, P. et al. (2021) "Greenland-wide inventory of ice marginal lakes using a multi-method approach". Sci. Rep. 11, 4481. https://doi.org/10.1038/s41598-021-83509-1
Project links
The Greenland ice-marginal lake inventory series, available through the GEUS Dataverse
ESA project outline and fellow information
Information about the ESA Living Planet Fellowship
2017 ice marginal lake inventory Scientific Reports paper and dataset
Owner
- Name: GEUS Glaciology and Climate
- Login: GEUS-Glaciology-and-Climate
- Kind: organization
- Location: Copenhagen, Denmark
- Website: https://eng.geus.dk/about/organisation/departments/glaciology-and-climate
- Repositories: 41
- Profile: https://github.com/GEUS-Glaciology-and-Climate
GEUS Department of Glaciology and Climate
JOSS Publication
GrIML: A Python package for investigating Greenland's ice-marginal lakes under a changing climate
Authors
Department of Glaciology and Climate, Geological Survey of Denmark and Greenland (GEUS), Nuuk, Greenland
Editor
Adam R. Jensen
Tags
python glaciology remote sensing greenland kalaallit nunaatGitHub Events
Total
- Create event: 26
- Release event: 4
- Issues event: 21
- Watch event: 5
- Delete event: 21
- Issue comment event: 17
- Push event: 130
- Pull request review comment event: 2
- Pull request review event: 4
- Pull request event: 49
- Fork event: 2
Last Year
- Create event: 26
- Release event: 4
- Issues event: 21
- Watch event: 5
- Delete event: 21
- Issue comment event: 17
- Push event: 130
- Pull request review comment event: 2
- Pull request review event: 4
- Pull request event: 49
- Fork event: 2
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| PennyHow | p****o@g****k | 96 |
| Adam R. Jensen | 3****n | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 12
- Total pull requests: 68
- Average time to close issues: 2 months
- Average time to close pull requests: about 5 hours
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.58
- Average comments per pull request: 0.25
- Merged pull requests: 68
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 11
- Pull requests: 58
- Average time to close issues: about 2 months
- Average time to close pull requests: about 6 hours
- Issue authors: 2
- Pull request authors: 2
- Average comments per issue: 0.55
- Average comments per pull request: 0.29
- Merged pull requests: 58
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- AdamRJensen (8)
- PennyHow (4)
Pull Request Authors
- PennyHow (65)
- AdamRJensen (3)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 57 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 6
- Total maintainers: 1
pypi.org: griml
A workflow for classifying ice-marginal lakes from satellite imagery and compiling lake inventories
- Homepage: https://github.com/GEUS-Glaciology-and-Climate/GrIML
- Documentation: https://griml.readthedocs.io/
- License: MIT
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Latest release: 1.0.3
published 6 months ago
Rankings
Maintainers (1)
Dependencies
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