Talks and Poster Presentations (with Proceedings-Entry):
G. Mandlburger, J. Kremer, F. Steinbacher, R. Baran:
"Investigating the Use of Coastal Blue Imagery for Bathymetric Mapping of Inland Water Bodies";
Talk: ISPRS TC I Mid-term Symposium "Innovative Sensing - From Sensors to Methods and Applications",
- 2018-10-12; in: "ISPRS TC I Mid-term Symposium "Innovative Sensing - From Sensors to Methods and Applications",
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,
In this contribution, we report on an experimental airborne data acquisition with two medium format cameras (Coastal Blue, RGB) and a topo-bathymetric laser scanner for capturing the bathymetry of a dozen of groundwater supplied lakes located near Augsburg, Germany. The specific research question was to investigate whether the use of high-resolution Coastal Blue imagery (λ=400-460nm) provides added value for mapping bathymetry and characterization of water bottom features. While data processing is still in progress, preliminary results indicate that the blue (λ=420-500nm) and green (λ=490-570nm) color channels of the RGB camera are better suited for estimating bathymetry, but the Coastal Blue channel adds an additional water penetrating band increasing the number of useful band combinations with a positive effect on the water bottom classification capabilities. Whereas Coastal Blue channels are rather used from satellite platforms (Landsat 8, WorldView-2) with spatial resolutions in the meter range, our experiment aims at using higher resolution Coastal Blue imagery with a ground sampling distance of around 5cm enabling not only spectrally based shallow water depth mapping but also the application of multi-media photogrammetry in high spatial resolution. To the best of our knowledge the use of high-resolution Coastal Blue captured from airborne platforms is novel in the context of mapping shallow water bathymetry.
Multi-media photogrammetry, Laser Bathymetry, Multispectral depth estimation, Shallow Water Mapping
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.