Multitemporal Remote Sensing of Coastal Waters

  • Susanne Kratzer
  • Krista Alikas
  • Therese Harvey
  • José María Beltrán-Abaunza
  • Evgeny Morozov
  • Sélima Ben Mustapha
  • Samantha Lavender
Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 20)


In this chapter we address some of the recent developments in marine coastal remote sensing with regards to the evaluation of water quality from space using multi-temporal data. Most chapters in this book are devoted to terrestrial applications, whereas aquatic remote sensing requires a completely different approach in terms of mission and sensor design as well as data analysis and processing. Therefore, the first section is a general introduction to marine remote sensing. Then we report recent results from remote sensing of the Baltic Sea, which is optically dominated by the absorption of light by coloured dissolved organic matter (CDOM), and during summer months, by high standing stocks of filamentous cyanobacteria. Results both from basin-wide as well as coastal applications in the north-western Baltic Sea are presented. In next section we report results from the Bay of Biscay in the north-eastern Atlantic Ocean west of France, which is an area highly influenced by river discharge and dinoflagellate blooms, and the subsequent section is about a coastal area in the eastern Beaufort Sea in the Arctic that’s influenced by a pool of CDOM. In all sections we discuss the relevance of regional remote sensing for ecological analysis and coastal management. The chapter concludes with a synthesis on merging of satellite data from different ocean colour missions and the limitations for coastal applications are discussed.


Suspend Particulate Matter Secchi Depth Coloured Dissolve Organic Matter Ocean Colour Total Suspend Matter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.





Advanced Very High Resolution Radiometer (NOAA)

Case-1 waters

Waters that are optically dominated by water itself and by Chl-a (and correlated CDOM)

Case-2 waters

Waters that are also optically significantly influenced by SPM and/or CDOM (besides water and Chl-a)






Chromophoric or Coloured Dissolved Organic Matter


Coastal Zone Colour Scanner (NASA)


Dissolved Inorganic Nitrogen


Dissolved Inorganic Phosphorus


European Commission


European ENVIronmental SATellite (ESA)


European Space Agency


European Union


Full resolution


Freie Universität Berlin


Global Monitoring of Environment and Security


Global System for Mobile communications


HELsinki COMmission


Improved Contrast between Ocean and Land processor


Inherent Optical Properties


Maximum Chlorophyll Index


MEdium Resolution Imaging Spectrometer (ESA)


Merged Local Area Coverage


MODerate Imaging Spectroradiometer (NASA)


National Aeronautics and Space Administration




National Oceanic and Atmospheric Administration


Net Primary Production


National Snow and Ice Data Center


Ocean Colour


Ocean and Land Colour Instrument (ESA)


Red Green Blue


Reduced resolution


SeaWiFS Data Analysis Software


Sea-viewing Wide Field-of-view Sensor (NASA)


Suspended Particulate Matter


Sea Surface Temperature




Total Suspended Matter




Water Framework Directive 2000/60/EC


Marine Strategy Framework Directive 2008/56/EC

Optical coefficients


Absorption coefficient


Scattering coefficient


Backward scattering coefficient


Forward scattering coefficient


Absorption coefficient of CDOM






Downwelling Irradiance


Diffuse attenuation coefficient of downwelling irradiance


Remote Sensing Reflectance


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Susanne Kratzer
    • 1
  • Krista Alikas
    • 2
  • Therese Harvey
    • 1
  • José María Beltrán-Abaunza
    • 1
  • Evgeny Morozov
    • 1
    • 3
  • Sélima Ben Mustapha
    • 1
    • 4
  • Samantha Lavender
    • 5
  1. 1.Department of Ecology, Environment and Plant SciencesStockholm UniversityStockholmSweden
  2. 2.Department of Remote SensingTartu ObservatoryTartumaaEstonia
  3. 3.NIERSCSt. PetersburgRussia
  4. 4.Institut Maurice-Lamontagne, Peches et Océans CanadaMont-JoliCanada
  5. 5.Pixalytics LtdPlymouthUK

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