The GrIML 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.
The GrIML Python package can be installed using pip:
$ pip install griml
Or cloned from the Github repository:
$ git clone [email protected]:GEUS-Glaciology-and-Climate/GrIML.git
$ cd GrIML
$ pip install .
Full documentation and tutorials are available at GrIML's readthedocs
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.
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. (2024) PennyHow/GrIML v0.1.0, Zenodo, https://doi.org/10.5281/zenodo.11395471
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
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The Greenland ice-marginal lake inventory series, available through the GEUS Dataverse
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ESA project outline and fellow information
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Information about the ESA Living Planet Fellowship
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2017 ice marginal lake inventory Scientific Reports paper and dataset