Title
Calibration, Parameterization And Application Of Meris Water Constituent Algorithms For Perialpine Lakes
Abstract
The applicability of MERIS data for the retrieval of water constituent concentrations in oligo- to mesotrophic perialpine lakes is demonstrated by means of two different algorithms. The C2R algorithm is an easily applicable neural network processor which is bound to MERIS data The MIP algorithm is a complex, coupled inversion program, which can be used with a variety of remote sensing sensors, but requires extensive parameterization. Both algorithms were applied with the ICOL adjacency effect correction C2R's potential for automatic processing of large data quantities is validated in a time series study with water quality monitoring data Individual C2R image products are then compared to MIP, which will allow for an extended comparison with new APEX imaging spectrometry data in the near future
Year
DOI
Venue
2009
10.1109/IGARSS.2009.5418281
2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5
Keywords
Field
DocType
Water constituents, case 2, inland water, chlorophyll
Adjacency list,Parametrization,Computer science,Inversion (meteorology),Remote sensing,Algorithm,Automatic processing,Artificial neural network,Calibration,Time series study
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
1
8