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## Workflow outline
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**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.
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The **GrIML** post-processing chain follows a linear workflow. Initial rasterised binary classifications denoting water bodies can be inputted to **convert**, **filter** and **merge** into a cohesive ice marginal lake vector dataset, populated with useful **metadata** and analysed with relevant **statistical information**.
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Each of these post-processing steps is contained within GrIML's modules, and called in turn to perform the entire processing chain. The `griml()` function invokes all post-processing steps.
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## Project motivation