How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?

Author:

Kuhwald Katja1ORCID,Schneider von Deimling Jens2ORCID,Schubert Philipp3ORCID,Oppelt Natascha1ORCID

Affiliation:

1. Earth Observation and Modelling Department of Geography Christian‐Albrechts‐Universität zu Kiel Ludewig‐Meyn‐Str. 8 Kiel D‐24098 Germany

2. Marine Geophysics and Hydroacoustics Institute of Geosciences Christian‐Albrechts‐Universität zu Kiel Otto‐Hahn‐Platz 1 Kiel D‐24098 Germany

3. Marine Evolutionary Ecology GEOMAR Helmholtz Center for Ocean Research Kiel Düsternbrooker Weg 20 Kiel D‐24105 Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Reference57 articles.

1. Random forest in remote sensing: a review of applications and future directions;Belgiu M.;ISPRS Journal of Photogrammetry and Remote Sensing,2016

2. Shallow sea‐floor reflectance and water depth derived by unmixing multispectral imagery;Bierwirth P.N.;Photogrammetric Engineering and Remote Sensing,1993

3. Borum J. Duarte C.M. Greve T.M.&Krause‐Jensen D.(2004)European seagrasses: An introduction to monitoring and management. The M & MS project [Erscheinungsort nicht ermittelbar].

4. Distribution, structure and function of Nordic eelgrass (Zostera marina) ecosystems: Implications for coastal management and conservation;Boström C.;Aquatic Conservation : Marine and Freshwater Ecosystems,2014

5. Seagrass landscapes and their effects on associated fauna: a review;Boström C.;Estuarine, Coastal and Shelf Science,2006

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