Tool

Majamask : a new standalone raster mask tool

You can now produce a simplified rastermask from both CLM and MG2 MAJA masks using a standalone, ‘pip’ installable, Python tool call majamask available here. The MAJA L2A products contain cloud (CLM) and geophysical (MG2) mask files. The mask layers are bitmasks, not to be confused with classified layers. Each pixel of a bitmask is […]

Job

[Closed] Post-doc position : join the MAJA team !

CNES has opened a 2 years post-doc position within CESBIO laboratory, to help improve the processing of optical remote sensing images such as those of Sentinel2. The topic is entitled “Improvement of atmospheric adjacency effects modelling and correction”. The atmosphere tends to blur the optical images, and the modelling of this phenomenon is currently rather […]

Validation

An update on the use of CAMS 48r1

As announced in a previous post, the aerosol definition of the new 48r1 release of the CAMS auxiliary data has changed as compared to the former 47r1. At that time, we recommended to disable the use of CAMS data with MAJA before we adapt the code. Meanwhile, we have also tested the actual impact on […]

Validation

MAJA and the new CAMS aerosols 48r1

The Copernicus Atmospheric Monitoring Service (CAMS) is about to release a new version of its aerosol products on 27 June 2023, referred as 48r1. Their evolution has a direct impact on MAJA, and requires us to adapt the processor. MAJA will not be ready to support 48r1 before the next release scheduled for September 2023. […]