Crowd-sourcing the open dataset for water detection

Label annotation for satellite images made easy with ClassificationApp

Devis Peressutti
Jun 20 ยท 6 min read

ClassificationApp improvements

User Interface to create a new campaign. Campaigns can be customised by data-source, labelling classes and area of interest, as well as the size of the labelled image.
Example UI for a labelling campaign. The left pane helps to understand the spatial context and allows visualisation of supporting data-sources, like high-resolution imagery, maps, and geometries. On the right pane, the canvas allows you to classify each pixel according to the classes you specified when creating the campaign. Paint and delete tools are available to speed up the task.
Results of the tasks are saved to Geopedia. From here they can be retrieved as EOPatches using eo-learn.

Crowd-sourcing water surface detection in Sentinel-2 image

Example of the water surface level trend for a dam in South Africa. You can explore water bodies from all over the world here.
Example of segmentation artefacts introduced, in this case, by cloud shadows.
Example of task suggested by the water body segmentation campaign.


Sentinel Hub Blog

Stories from the next generation satellite imagery platform

Thanks to Matic Lubej and Grega Milcinski.

Devis Peressutti

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Data scientist passionate about earth and medical images.

Sentinel Hub Blog

Stories from the next generation satellite imagery platform