Intelligent geospatial maritime risk analytics using the Discrete Global Grid System

A Rawson, Z Sabeur, M Brito - Big Earth Data, 2022 - Taylor & Francis
Each year, accidents involving ships result in significant loss of life, environmental pollution
and economic losses. The promotion of navigation safety through risk reduction requires …

Extraction of ocean tidal information based on global equal-area grid and satellite altimeter data

W Wang, H Zhou, S Zheng, G Lü… - International Journal of …, 2022 - Taylor & Francis
Harmonic analysis of satellite altimetry data based on a global regular grid is affected by the
grid spatial tessellation and placement of the grids. With the increase of latitude, the …

Resilience-Focused Analysis of the United States Maritime Transportation System Using Automatic Identification System Data

DL Young, BM Scully… - Transportation Research …, 2022 - journals.sagepub.com
The US maritime transportation system is a foundational element of the national supply
chain, and its operators are under immense pressure to ensure that its ports can reliably and …

Evaluating the underkeel clearance of historic vessel transits in the Southwest Pass of the Mississippi river

B Scully, D Young - Journal of Waterway, Port, Coastal, and Ocean …, 2021 - ascelibrary.org
Abstract The Army Corps of Engineers for decades has used two primary metrics to prioritize
maintenance activities for coastal navigation projects: cargo tonnage at the project …

Ship wakes and their potential shoreline impact in Tampa Bay

SD Meyers, ME Luther, S Ringuet, G Raulerson… - Ocean & Coastal …, 2021 - Elsevier
Ship wakes generated by vessels moving through ecologically sensitive areas, or near
poorly-protected infrastructure, can negatively impact these systems. This is especially true …

Machine Learning-Based Anomaly Detection on Seawater Temperature Data with Oversampling

H Kang, D Kim, S Lim - Journal of Marine Science and Engineering, 2024 - mdpi.com
This study deals with a method for anomaly detection in seawater temperature data using
machine learning methods with oversampling techniques. Data were acquired from 2017 to …

Waterway Engineering Applications of Automatic Identification System Data along the Mississippi River and at Lock Structures

CR Tabbert, JC Vest, MM Kress - Journal of Waterway, Port, Coastal …, 2021 - ascelibrary.org
Abstract The USACE, St. Louis District, is responsible for maintaining navigation channels
along with multiple lock and dam structures on the Mississippi River, a vital inland waterway …

Ranking Ports by Vessel Demand for Depth

DL Young, BM Scully, SP McGill, AJ Elkins… - Journal of Waterway …, 2024 - ascelibrary.org
Abstract The US Army Corps of Engineers (USACE) traditionally uses two metrics to
evaluate the maintenance of coastal navigation projects: tonnage at the associated port …

Automatic Identification System (AIS) data case study: identifying unofficial mooring areas along the Upper Mississippi River

MM Kress - 2023 - apps.dtic.mil
PURPOSE: This Dredging Operations and Technical Support (DOTS) program technical
note presents the results of a study undertaken at the request of staff from the US Army …

Applying spatial mutual information to AIS data

BA McArthur, AW Isenor - The Journal of Navigation, 2022 - cambridge.org
This paper examines a new interpretation for spatial mutual information based on the mutual
information between an attribute value and a spatial random variable. This new …