Nautical Charts Generalization: A Pragmatic Approach

Details

• Journal Title:
  Abstracts of the ICA
• Personal Author:
  Skopeliti, Andriani ; Tsoulos, Lysandros ; Stamou, Leda ; Pe'eri, Shachak
• NOAA Program & Office:
  NOS (National Ocean Service) ; OCS (Office of Coast Survey)
• 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.
  
  
• Keywords:
  Industrial and Manufacturing Engineering
• Source:
  Abstracts of the ICA, 3, 1-2
• DOI:
  https://doi.org/10.5194/ica-abs-3-267-2021
• ISSN:
  2570-2106
• Format:
  PDF
• Publisher:
  Copernicus GmbH
• Document Type:
  Journal Article
• Funding:
  Grant no. NA15NOS4000200
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Library
• Main Document Checksum:
  urn:sha-512:9d32dd4f10c78f9e593f3ece64bc232fff35df47cd9c24dfa3f0475b97faa70d20af05719a25dc46bc5e9a6e117581a602adb343d1d277a1df1db70908df0465
• Download URL:
  https://repository.library.noaa.gov/view/noaa/64448/noaa_64448_DS1.pdf
• File Type:
  [PDF - 1.03 MB ]