Algorithms for the remote sensing of the Baltic ecosystem (DESAMBEM). Part 2: Empirical validation

This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data and in details the mathematical apparatus of these algorithms were...

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Published inOceanologia Vol. 50; no. 4; pp. 509 - 538
Main Authors Darecki, M, Ficek, D, Krezel, A, Ostrowska, M, Majchrowski, R, Wozniak, S B, Bradtke, K, Dera, J, Wozniak, B
Format Journal Article
LanguageEnglish
Published Institute of Oceanology of the Polish Academy of Sciences 01.01.2008
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ISSN0078-3234

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Abstract This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data and in details the mathematical apparatus of these algorithms were presented. The effects of the practical application of the algorithms and their validation, the latter based on satellite maps of selected Baltic ecosystem parameters are presented (Part 2). These parameters are: the distributions of the sea surface temperature (SST), the Photosynthetically Available Radiation (PAR) at the sea surface, the surface concentrations of chlorophyll a and the total primary production of organic matter. Particular emphasis was laid on analysing the precision of estimates of these and other parameters of the Baltic ecosystem, determined by remote sensing methods. The errors in these estimates turned out to be relatively small; hence, the set of DESAMBEM algorithms should in the future be utilised as the foundation for the effective satellite monitoring of the state and functioning of the Baltic ecosystem.
AbstractList This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the authors presented the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data (see Wozniak et al. 2008 - this issue). That article discussed in detail the mathematical apparatus of the algorithms. Part 2 presents the effects of the practical application of the algorithms and their validation, the latter based on satellite maps of selected Baltic ecosystem parameters: the distributions of the sea surface temperature (SST), the Photosynthetically Available Radiation (PAR) at the sea surface, the surface concentrations of chlorophyll a and the total primary production of organic matter. Particular emphasis was laid on analysing the precision of estimates of these and other parameters of the Baltic ecosystem, determined by remote sensing methods. The errors in these estimates turned out to be relatively small; hence, the set of DESAMBEM algorithms should in the future be utilised as the foundation for the effective satellite monitoring of the state and functioning of the Baltic ecosystem.
This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data and in details the mathematical apparatus of these algorithms were presented. The effects of the practical application of the algorithms and their validation, the latter based on satellite maps of selected Baltic ecosystem parameters are presented (Part 2). These parameters are: the distributions of the sea surface temperature (SST), the Photosynthetically Available Radiation (PAR) at the sea surface, the surface concentrations of chlorophyll a and the total primary production of organic matter. Particular emphasis was laid on analysing the precision of estimates of these and other parameters of the Baltic ecosystem, determined by remote sensing methods. The errors in these estimates turned out to be relatively small; hence, the set of DESAMBEM algorithms should in the future be utilised as the foundation for the effective satellite monitoring of the state and functioning of the Baltic ecosystem.
This paper is the second of two articles on the methodology ofthe remote sensing of the Baltic ecosystem. In Part~1 the authorspresented the set of DESAMBEM algorithms for determining themajor parameters of this ecosystem on the basis of satellitedata (see Wo/xniak et al.~2008 -- this issue). That article discussedin detail the mathematical apparatus of the algorithms. Part2 presents the effects of the practical application of the algorithmsand their validation, the latter based on satellite maps of selectedBaltic ecosystem parameters: the distributions of the sea surfacetemperature, the Photosynthetically Available Radiation (PAR)at the sea surface, the surface concentrations of chlorophyll~{it a}and the total primary production of organic matter.~Particularemphasis was laid on analysing the precision of estimates ofthese and other parameters of the Baltic ecosystem, determinedby remote sensing methods. The errors in these estimates turnedout to be relatively small; hence, the set of DESAMBEM algorithmsshould in the future be utilised as the foundation for the effectivesatellite monitoring of the state and functioning of the Balticecosystem.
Author Wozniak, S B
Krezel, A
Bradtke, K
Dera, J
Wozniak, B
Darecki, M
Ficek, D
Ostrowska, M
Majchrowski, R
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Snippet This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for...
This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the authors presented the set of DESAMBEM...
This paper is the second of two articles on the methodology ofthe remote sensing of the Baltic ecosystem. In Part~1 the authorspresented the set of DESAMBEM...
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SubjectTerms Brackish
Chlorophyll algorithm
Light-photosynthesis model
Marine
Marine ecosystem monitoring
Ocean colour
Primary production algorithm
SeaWiFS
Temperature algorithm
Title Algorithms for the remote sensing of the Baltic ecosystem (DESAMBEM). Part 2: Empirical validation
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