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Nautical Charts Generalization: A Pragmatic Approach
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2021
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Source: Abstracts of the ICA, 3, 1-2
[PDF-1.03 MB]
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Journal Title:Abstracts of the ICA
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NOAA Program & Office:
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Description:Recent advances in Big Data technologies and the abundance of marine geospatial data collected and stored by
Hydrographic Offices (HOs) require efficient generalization methods to support nautical chart production for a number
of scales. Portrayed depths and depth contours are derived from soundings acquired by tidally-referenced surveys, also
known as hydrographic surveys, which survey the seafloor and detect objects that are hazardous to navigation (e.g., rocks
and wrecks). Common survey technologies used to map the seafloor include acoustic technologies (e.g., Multibeam Echo
Sounders - MBES) and optical technologies (e.g., Airborne Lidar Bathymetry - ALB). In addition to bathymetry, highresolution, accurate coastal data are obtained from detailed Lidar surveys, high-resolution tidally-referenced imagery, and
topographic surveys. Although one would expect a fully automated cartographic generalization process to be already
available, it is still a (semi-)manual process. This is due to the volume of data, the complexity of the seafloor and the
number of rules and constraints that ensure safe navigation. This paper proposes methods for soundings, depth contours
and coastline generalization for Harbour and Approach Nautical Charts in a GIS environment in accordance with the
International Hydrographic Organization (IHO) standards and widely adopted cartographic practices.
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Source:Abstracts of the ICA, 3, 1-2
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ISSN:2570-2106
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Rights Information:CC BY
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Compliance:Library
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