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GEUS-Glaciology-and-Climate · Nov 9, 2024 · ac4e8ff · ac4e8ff
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diff --git a/docs/background.md b/docs/background.md
@@ -9,11 +9,11 @@ The **GrIML** processing package is for classifying water bodies from satellite
 
 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**.
 
-<img src="https://github.com/GEUS-Glaciology-and-Climate/GrIML/blob/main/other/reporting/figures/griml_workflow_without_gee.png?raw=true" alt="The GrIML workflow." width="400" align="aligncenter" />
+<img src="https://github.com/GEUS-Glaciology-and-Climate/GrIML/blob/main/other/reporting/figures/griml_workflow_without_gee.png?raw=true" alt="The GrIML workflow." width="800" align="aligncenter" />
 
 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.
 
-<img src="https://github.com/GEUS-Glaciology-and-Climate/GrIML/blob/main/other/reporting/figures/griml_package_structure.png?raw=true" alt="GrIML package structure." width="400" align="aligncenter" />
+<img src="https://github.com/GEUS-Glaciology-and-Climate/GrIML/blob/main/other/reporting/figures/griml_package_structure.png?raw=true" alt="GrIML package structure." width="800" align="aligncenter" />
 
 
 ## Project motivation

diff --git a/docs/tutorials-data.md b/docs/tutorials-data.md
@@ -237,4 +237,4 @@ ax.set_ylabel('Lake abundance', fontsize=14)
 plt.show()
 ```
 
-<img src="https://github.com/GEUS-Glaciology-and-Climate/GrIML/blob/main/docs/figures/iml_time_series_plot.png?raw=true" alt="Time-seriesplot example" width="400" align="aligncenter" />
+<img src="https://github.com/GEUS-Glaciology-and-Climate/GrIML/blob/main/docs/figures/iml_time_series_plot.png?raw=true" alt="Time-seriesplot example" width="800" align="aligncenter" />