Composing an Accurate Digital Bathymetric Model by Using Single Beam Data


Kaya S. B., Doğan U., Aykut N. O.

International Symposium on Applied Geoinformatics (ISAG-2019), İstanbul, Türkiye, 7 - 09 Kasım 2019, ss.114

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.114
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Nowadays, underwater modeling or creating Digital Elevation Model (DEM) are required for the modeling of

numerous coastal processes including tsunami propagation and inundation, storm-surge, and sea-level rise. Multi-beam

echosounder systems (MBES), single beam echosounder systems (SBES), Side-scan sonars (SSS) and airborne lidar

bathymetry (ALB) systems are used to create DEM’s for examination seafloor topography. In this study, data densities, grid

spacing and interpolation methods that are likely to affect the final product are evaluated comparatively. The purpose of this

study is to determine the effect of these variable parameters on the final product and try to obtain an accurate result from the

single beam data by considering the multi-beam data as a reference. Two sets of data were collected from the sea bottom by

MBES and SBES in the same area. The area has a rectangle shape with approximately 840 m width and 1100 m length. The

multi-beam data has 73982 points and 100% seafloor coverage. The Single beam data has 3261 points with parallel 15 lines

and the line’s lengths are approximately 1100 meters. The Single beam data is modeled by 6 different interpolation methods

(IDW, Kriging, RBF, Modified Shepard, Nearest Neighborhood, Linear Triangulation), and changing data densities and grid

spacing and necessary statistical data were obtained. Furthermore, these models are compared with the multi-beam data that

accepted as a reference. As a result, it was tested how to construct a digital bathymetric model close to the multi-beam data

using the single beam data fitting to international hydrographic survey standards.