A Seabed Classification Approach Based on Multiple Acoustic Sensors in the Hudson River Estuary

Abstract

Due to the increasing demand for clean water, recreation areas, and healthy ecosystems the management of watersheds has become an issue of increasing importance. This demand has increased the need for detailed inventories of the present state of watersheds and the understanding of related processes. In 1996, the New York State Department of Environmental Conservation (DEC) initiated an effort to map the benthic habitat of the Hudson River Estuary as part of a larger Hudson River Action Plan. This project includes extensive mapping using sidescan sonar, subbottom profiling, single and multi-beam bathymetry, as well as collecting ground truth data with sediment cores, grab samples, and sediment profiling imagery (SPI). The goal of the project is the creation of a comprehensive data set that includes detailed interpretive maps of sediment distribution, grain size, bed forms, and benthic habitats (Ladd et al., 2002).