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Detekcja obiektów szczególnie niebezpiecznych dla środowiska na dnie morza z wykorzystaniem zobrazowań satelitarnych i lotniczego skaningu batymetrycznego

Kogut T., Oberski T., Kogut P.

Rocznik Ochrona Środowiska

2015

Tom 17, cz. 2

858--868

Underwater storage of chemical substances placed on the bottom of the Baltic Sea are a major threat to the environment and the health and life of humans. Today, not all locations of the underwater storage sites are known and worsening of their condition and the tides make a periodic monitoring of the seabed is one of the most important tasks of hydrographic authorities to guarantee the marine environment protection and the safe navigation of vessels whose collision can cause an ecological disaster. The sea bed measurements have been carried out by ship-based echo sounding, but this method is rather expensive. The goal of this paper is to examine the possibility of detection of seabed objects based on satellite imagery and airborne laser bathymetry. The first part of the publication presents the principle of bathymetric data acquisition using bathymetric laser scanner and satellite imagery processing to bathymetric data. The second part of this paper presents an analyses the ALB (Airborne Laser Bathymetry) data and bathymetric data from processed satellite imagery. A comparison to echo sounding data shows only small differences in the depths values of ALB data, more than 95% is between ± 0.5 m, but big differences in the depths values of satellite data. The results of tests to object detection are similar to difference comparison. In data from airborne laser bathymetry is possible to find the object on the sea bed, but in satellite bathymetry data it's very difficult or even impossible to detect some object. This paper presents the data and results from the project 'Investigation on the use of airborne laser bathymetry in hydrographic surveying', carried out by the German Federal Maritime and Hydrographic Agency (BSH) in cooperation with the Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany.