
Example of reference cloud mask generated by ALCD, and comparison with the cloud masks generated by three operational processors (Sen2cor, FMask and MAJA). True positive invalid pixels appear in blue, true negative in green, false negative in red and false positive in purple..
It is not that frequent when the work of a trainee ends up as a peer reviewed publication, but Louis Baetens was a brilliant trainee. In a six months training period at CESBIO, funded by CNES, here is what Louis Baetens did:
- developed an active learning method to generate reference cloud masks for Sentinel-2, using multi-temporal data as input
- validated the quality of the produced masks (around 99% overall accuracy)
- generated cloud and shadow masks covering 32 entire Sentinel-2 images
- produced these same scenes with Sen2cor 2.5.5, FMask 4.0 and MAJA 3.3
- evaluated the results using ALCD masks
- wrote a report and a user manual for ALCD
- released the masks and tools on open access platforms
- And wrote (with Camille and myself) a scientific publication
The publication was just released by remote sensing :
The remaining of the post provides a plain language summary (but it's better to read the paper !)