Sailing the Rough Seas of Automated Electronic Navigational Charts Compilation

Abstract. Advancements in geospatial technology have benefited the hydrographic and maritime professions in many ways. Yet, compared to hydrographic data collection and processing, chart compilation workflows remain relatively slow, mainly due to limited human resources and the availability of automated algorithms that respect nautical charting constraints and Electronic Navigational Chart (ENC) database requirements. This work presents our research efforts to streamline the nautical chart compilation process through the introduction of automated processes and improving the efficiency and accuracy of existing. Among these processes are fundamental generalization tasks such as those for soundings, islands, and depth contours; ENC product specific requirements, such as those for reducing file size through the removal of collinear vertices forming polylines and polygons; and the updating of dependent features in the ENC database after generalization of one of their shared geometries.

Authors

Institutions

Publication Details

Journal
Advances in Cartography and GIScience of the ICA
Published
2025-10-20
DOI
https://doi.org/10.5194/ica-adv-5-17-2025
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sailing the Rough Seas of Automated Electronic Navigational Charts Compilation

Giuseppe Masetti, Noel Dyer, Christos Kastrisios, Daniel Morrow et al.
Advances in Cartography and GIScience of the ICA
Maritime Navigation and Safety
article

Sailing the Rough Seas of Automated Electronic Navigational Charts Compilation

Giuseppe Masetti, Noel Dyer, Christos Kastrisios, Daniel Morrow, Leila De Floriani, Brian R. Calder, M. D. Bartlett, Kevin Lewis O’Neill, Brian Martinez, Christie Ence, Peter Holmberg, Tamer Nada, Amber Bethell, José Cordero, Craig Greene, Sean Legeer, Stelios Contarinis
article en

Abstract

Abstract. Advancements in geospatial technology have benefited the hydrographic and maritime professions in many ways. Yet, compared to hydrographic data collection and processing, chart compilation workflows remain relatively slow, mainly due to limited human resources and the availability of automated algorithms that respect nautical charting constraints and Electronic Navigational Chart (ENC) database requirements. This work presents our research efforts to streamline the nautical chart compilation process through the introduction of automated processes and improving the efficiency and accuracy of existing. Among these processes are fundamental generalization tasks such as those for soundings, islands, and depth contours; ENC product specific requirements, such as those for reducing file size through the removal of collinear vertices forming polylines and polygons; and the updating of dependent features in the ENC database after generalization of one of their shared geometries.

Advances in Cartography and GIScience of the ICAVol. 5
Environmental Systems Research Institute (United States) (US), University of New Hampshire (US), National Technical University of Athens (GR), Royal Institute and Observatory of the Spanish Navy (ES), Geographical Institute (HU), NOAA Office of Coast Survey, NOAA National Geodetic Survey (US)
National Science Foundation, National Oceanic and Atmospheric Administration
Openalex Percentile: Top 63%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.