New release
Main improvement : CAMS 48r1 MAJA 4.8 comes with full support for CAMS 48r1 aerosols, with a dedicated set of Look-up Tables that account for the multiple changes of optical properties introduced in the latest CAMS release. MAJA remains backward compatible to the previous CAMS 47r1 products, and switches smoothly depending on product date. The […]
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
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
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 […]