In this study, univariate linear regression model was developed for monitoring secchi depth in the Caspian Sea using level 1b and level 2 data. The in-situ measurements were carried outduring 25 one-day campaigns in the Caspian Sea. In this study, 25 level 1b MERIS images were utilized and then converted to level 2 data using C2R processor. The ability of univariate linear regression for the extraction of secchi depth from level 1b and level 2 wasinvestigated. The results demonstrated that the level 2 data lead to better performance than level 1b data. The level 2 data are able to retrieve the secchi depth in the Caspian Sea with correlation coefficient and percent of absolute error about 0.86 and 28.6%, respectively. Finally, secchi depth map of Caspian Sea was retrieved from MERIS level 2 images using developed univariate empirical model.
Empirical Modeling of Clarity in the Caspian Sea using MERIS Data
2014
Article (Journal)
Electronic Resource
Unknown
secchi depth , clarity model , meris , caspian sea , univariate regression , Technology , T , Astronomy , QB1-991
Metadata by DOAJ is licensed under CC BY-SA 1.0
MERIS Data Handling Architecture
British Library Online Contents | 1998
|MERIS Data Handling Architecture
British Library Conference Proceedings | 1998
|British Library Conference Proceedings | 2013
|Coral Reef Habitat Mapping Using MERIS: Can MERIS Detect Coral Bleaching?
British Library Conference Proceedings | 2005
|British Library Conference Proceedings | 1998
|