Welkom op het expertplatform!
Dit platform verschaft informatie en kennis omtrent de WL expertisedomeinen 'hydraulica en sediment', 'havens en waterwegen', 'waterbouwkundige constructies', 'waterbeheer' en 'kustbescherming' - gaande van WL medewerkers met hun expertise, het curriculum van deze instelling, tot publicaties, projecten, data (op termijn) en evenementen waarin het WL betrokken is.
Het WL onderschrijft het belang van "open access" voor de ontsluiting van haar onderzoeksresultaten. Lees er meer over in ons openaccessbeleid.
Validation of semi-empirical ocean colour algorithms using subsurface reflectance R(-) data
Santos, S.V. (1996). Validation of semi-empirical ocean colour algorithms using subsurface reflectance R(-) data. MSc Thesis. VUB: Brussel. 40 pp.
|
| Beschikbaar in | Auteur |
|
Documenttype: Doctoraat/Thesis/Eindwerk
|
| Abstract |
During the Remote Sensing North Sea (1988-1989) REMONO and Particular Matter North Sea (1993-1995) PMNS campaigns carried out at the Netherlands Institute of Sea Research many optical (e.g. radiance L, irradiance E, superficial reflectance R(+) and subsurface reflectance R(-) calculated values) and non-optical (e.g. Bio-geochemical and physical parameters) have been measured and stored in a comprehensive Information system (an Optical data Bank) for further processing. All year semi-empirical Ocean Colour algorithms applied to Coastal zone environments have been developed during the PMNS project using surface reflectance values R(+) acquired with the Spectrascan Spectracolorimeter (PR650). These algorithms were developed using the suitable channels for the new forthcoming ocean colour satellites (SeaWIFS, MERIS) and the visible channel of NOAA-AVHRR. The ratio R(+)/R(-) was also determined during this project. During the REMONO project subsurface reflectance values R(-) were calculated from the measurements below the water by the Advanced Spectral Irradiance Meter (ASIR). Non-optical parameters such as Chlorophyll, Total suspended matter and Dissolved organic matter have also been collected. In this research we tried to use the PMNS algorithms with the REMONO data. A transformation of the R(+) algorithms to algorithms that use subsurface irradiance R(-) values was necessary for this because the information used has been derived from subsurface radiance R(-) values. Therefore a preliminary transformation was made in order to obtain the PMNS algorithms as functions of R(-) values. Statistical analyses have been applied to this transformed algorithms by validating the predicted values against measured in-situ data collected during the REMONO campaign. A selection of spectra has been made in order to increase the accuracy of our analysis. Finally a new validation was performed to establish the applicability of these algorithms over specific in situ data. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
