Effective Automated Procedures for Hydrographic Data Review

Masetti, Giuseppe; Faulkes, Tyanne; Wilson, Matthew A.; Wallace, Julia

doi:10.3390/geomatics2030019

Cited by 5 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More generally, the creation of a robust workflow facilitates the integration of new data sources in the DBM, while preserving a consistent way to present the finalized product. Future work may also explore automated procedures to improve the efficiency of the current quality control of the finalized DBM (Figure 2) [27,47].…”

Section: Discussionmentioning

confidence: 99%

Denmark’s Depth Model: Compilation of Bathymetric Data within the Danish Waters

et al. 2022

Self Cite

View full text Add to dashboard Cite

Denmark’s Depth Model (DDM) is a Digital Bathymetric Model based on hundreds of bathymetric survey datasets and historical sources within the Danish Exclusive Economic Zone. The DDM represents the first publicly released model covering the Danish waters with a grid resolution of 50 m. When modern datasets are not available for a given area, historical sources are used, or, as the last resort, interpolation is applied. The model is generated by averaging depths values from validated sources, thus, not targeted for safety of navigation. The model is available by download from the Danish Geodata Agency website. DDM is also made available by means of Open Geospatial Consortium web services (i.e., Web Map Service). The original datasets—not distributed with the model—are described in the auxiliary layers to provide information about the bathymetric sources used during the compilation.

show abstract

Section: Discussionmentioning

confidence: 99%

Denmark’s Depth Model: Compilation of Bathymetric Data within the Danish Waters

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…The importance of accurate bathymetric and hydrographic data is recognized. The authors of [14][15][16][17][18][19] proposed and analyzed methods and algorithms that will make it easier to recognize the data obtained by using multi-beam echosounder datasets. Onwards, new correction methods were researched and proposed to obtain data using air and satellite platforms [20][21][22][23][24][25].…”

Section: Literature Reviewmentioning

confidence: 99%

The State of the Hydrographic Survey and Assessment of the Potentially Risky Region for Navigation Safety

Golub Medvešek,

Šoda,

Karin

et al. 2023

JMSE

View full text Add to dashboard Cite

The hydrographic survey is an important technology for improving maritime safety, especially in coastal waters. The accuracy of nautical charts and navigation publications is known to be directly related to hydrographic survey data. Therefore, this paper aims to investigate the status of a hydrographic survey by the International Hydrographic Organization (IHO) regions and identify the potentially risky IHO region for navigation safety. The fundamental step was to obtain the qualitative and quantitative data of the survey. Then, the presented analysis includes investigating the possible relationships between survey status and geographical characteristics by IHO regions. Considering that coastline length and sea surface data have not been calculated by regions, a quantum geographic information system was used to extract data. Using the presented methodology, the case study analyzes the data of stranded ships from 2010 to 2021 by IHO regions, estimates coastline length and sea surface by regions, and establishes the relationships between the coastline length, sea surface, and stranded ships. The results point out the need for improvement in the state of the hydrographic survey in almost all IHO regions and show a correlation between the sea surface and an adequate survey, as well as the coastline length and stranded ships. Hence, this research indicates the possibility of rationalizing the distribution of the IHO region concerning the sea surface and coastline length.

show abstract

“…Pydro is a Python distribution and a suite of several libraries and applications developed to support effective OCS hydrographic workflows. Although primarily driven by OCS specifications and requirements, the Python-based tools in Pydro can easily be extended/adapted to general good practices in the ocean mapping field (Masetti et al, 2022).…”

Section: Python As First Programming Languagementioning

confidence: 99%

Introducing programming to ocean mapping students

Masetti¹,

Dijkstra²,

Wigley³

et al. 2022

IHR

View full text Add to dashboard Cite

The next generation of ocean mappers need to master programming skills to meet increasingly higher expectations for timely ping-to-public data workflows. As such, the e-learning Python for Ocean Mapping (ePOM) project was established at the Center for Coastal and Ocean Mapping/NOAA-UNH Joint Hydrographic Center (University of New Hampshire). The project aims to support new ocean mapping students and professionals in reaching a minimum level of programming skills. These skills are then expanded with further powerful capabilities by leveraging the open-source Python scientific stack and the NOAA (National Oceanic and Atmospheric Administration) Office of Coast Survey’s Pydro distribution. To the best of our knowledge, the ePOM project represents the first attempt at creating a set of comprehensive open-source courses providing students with the required initial coding skills for a career in the ocean mapping field.

show abstract

Effective Automated Procedures for Hydrographic Data Review

Cited by 5 publications

References 23 publications

Denmark’s Depth Model: Compilation of Bathymetric Data within the Danish Waters

Denmark’s Depth Model: Compilation of Bathymetric Data within the Danish Waters

The State of the Hydrographic Survey and Assessment of the Potentially Risky Region for Navigation Safety

Introducing programming to ocean mapping students

Contact Info

Product

Resources

About