Sea floor classification with satellite data and airborne lidar bathymetry

H. Michael Tulldahl; Petra Philipson; Hans Kautsky; Sofia A. Wikström

doi:10.1117/12.2015727

3 June 2013 Sea floor classification with satellite data and airborne lidar bathymetry

H. Michael Tulldahl, Petra Philipson, Hans Kautsky, Sofia A. Wikström

Proceedings Volume 8724, Ocean Sensing and Monitoring V; 87240B (2013) https://doi.org/10.1117/12.2015727
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

While land maps of vegetation cover and substrate types exist, similar underwater maps are rare or almost non-existing. We developed the use of airborne bathymetric lidar mapping and high resolution satellite data to a combined method for shallow sea floor classification. A classification accuracy of about 80% is possible for six classes of substrate and vegetation, when validated against field data taken from underwater video recordings. The method utilizes lidar data directly (topography, slopes) and as means for correction of image data for water depth and turbidity. In this paper we present results using WorldView-2 imagery and data from the HawkEye II lidar system in a Swedish archipelago area.

Citation Download Citation

H. Michael Tulldahl, Petra Philipson, Hans Kautsky, and Sofia A. Wikström "Sea floor classification with satellite data and airborne lidar bathymetry", Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240B (3 June 2013); https://doi.org/10.1117/12.2015727

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