Abstract
A physically based water constituent retrieval algorithm is
used for the automatic processing of MERIS level 1B full
resolution data. The algorithm requires several input variables for individual optimization with different sensors
(i.e. channel calibration and weighting), aquatic regions (i.e. specific inherent optical properties) or atmospheric
conditions (i.e. Aerosol models). The optical properties are
derived from optical in situ measurements during concurrent
MERIS data acquisition on 20 April 2007. Remaining
parameters are iteratively optimized for best performance
with 21 MERIS datasets of Lake Constance in the years
2003-2005, and validated with 11 datasets in 2006.
Operational water quality sampling measurements acquired
by local authorities serve as reference.
Odermatt, D