Literature DB >> 15049356

Assessing Secchi and photic zone depth in the Baltic Sea from satellite data.

Susanne Kratzer1, Bertil Håkansson, Charlotte Sahlin.   

Abstract

Long-term trends in the Secchi depth of the Baltic Sea have been interpreted in terms of eutrophication. The spectral attenuation coefficient Kd (490) can be estimated from remote sensing data. Given the empirical and theoretical relationships between diffuse attenuation and Secchi depth, it is therefore possible to estimate the trophic state from remote sensing data. This paper considers relationships among remotely sensed and in-water measured K (490), and Secchi depth data obtained during dedicated sea-truthing campaigns in the eastern Baltic Proper in 1999 (4) and in the western Baltic Proper/Himmerfjärden area during 2001 and 2002. In-water measurements are used to establish the relationship between the PAR and the spectral attenuation coefficient in the Baltic Sea via regression analysis. The analysis showed that in the area of investigation Kd(490) is about 1.48 times higher than Kd (PAR). This relationship is then used to define the link between the photic zone depth and the remote sensing optical depth, Kd (490)-1. The results show that the depth of the euphotic zone is about 6.8 times Kd (490)-1. The regression analysis between Kd (PAR) and Secchi depth confirmed previous work that Kd (PAR) is about 1.7 of the inverse Secchi depth. Furthermore, an in-water algorithm between Secchi depth and Kd (490) is used to simulate a Secchi depth map of the Baltic Sea from SeaWiFS Kd(490) data. This map is verified against sea-truthing data. Kd (490) data derived from satellite is compared to in situ Kd (490), and the sources of error are discussed.

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Year:  2003        PMID: 15049356     DOI: 10.1579/0044-7447-32.8.577

Source DB:  PubMed          Journal:  Ambio        ISSN: 0044-7447            Impact factor:   5.129


  6 in total

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Authors:  H E Markus Meier; Bärbel Müller-Karulis; Helén C Andersson; Christian Dieterich; Kari Eilola; Bo G Gustafsson; Anders Höglund; Robinson Hordoir; Ivan Kuznetsov; Thomas Neumann; Zohreh Ranjbar; Oleg P Savchuk; Semjon Schimanke
Journal:  Ambio       Date:  2012-09       Impact factor: 5.129

2.  Relationships between colored dissolved organic matter and dissolved organic carbon in different coastal gradients of the Baltic Sea.

Authors:  E Therese Harvey; Susanne Kratzer; Agneta Andersson
Journal:  Ambio       Date:  2015-06       Impact factor: 5.129

3.  Testing the potential for predictive modeling and mapping and extending its use as a tool for evaluating management scenarios and economic valuation in the Baltic Sea (PREHAB).

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Journal:  Ambio       Date:  2014-02       Impact factor: 5.129

Review 4.  A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.

Authors:  Mohammad Haji Gholizadeh; Assefa M Melesse; Lakshmi Reddi
Journal:  Sensors (Basel)       Date:  2016-08-16       Impact factor: 3.576

5.  Contrasting seasonality in optical-biogeochemical properties of the Baltic Sea.

Authors:  Stefan G H Simis; Pasi Ylöstalo; Kari Y Kallio; Kristian Spilling; Tiit Kutser
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

6.  Evaluation of Sentinel-3A OLCI Products Derived Using the Case-2 Regional CoastColour Processor over the Baltic Sea.

Authors:  Dmytro Kyryliuk; Susanne Kratzer
Journal:  Sensors (Basel)       Date:  2019-08-19       Impact factor: 3.576

  6 in total

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