Water detection and monitoring in Sub-Saharan Africa made easy with QuantEO

The movie above is demonstrating how the QuantEO service may be used to detect water over time in Sub Saharan Africa from Senegal to Ethiopia.

This is a sample application of the service, developed by Pixstart within an Open Call project, which allows to produce classified Sentinel-2 images on demand and near real time on ecoclimatic zone scale.

The approach exploits the creation of a simplified new space, preserving all spectral, spatial and topological properties of Sentinel 2, that allows pixel labelling or grouping by a posteriori classes identification, change detection by distance computation, interpolation: such space may be used as a pre-processing step for all kinds of machine learning algorithms.

Learn more on the project page.