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Abstract
This work focuses on developing a software system for concurrently analyzing co-located multibeam echo sounder (MBES) datasets and seafloor imagery, fulfilling the need for a unified seafloor data exploration and analysis platform. The system comprises a graphical user interface where image browsing and geospatial data are linked and several toolboxes for extracting backscatter distribution, its angular response, and bathymetric derivatives to ultimately build detailed quantitative reports. The overall objective is to provide an efficient means of understanding the relationships between morphology, backscatter, and the observed biota and, thus, understanding the relationship between the physical and ecological elements of the seafloor. In addition, Groundtruther provides new ways to interpret remotely sensed information derived from MBES and aid the development of spatial distribution models. Furthermore, it could lead to the enrichment of ground-truth databases used to develop formal geophysical models that link acoustic backscatter observations to intrinsic properties of the seafloor.
Publication Date
11-1-2023
Journal Title
Environmental Modelling & Software
Rights
© 2023 The Authors. Published by Elsevier Ltd.
Publisher
Elsevier
Digital Object Identifier (DOI)
Document Type
Article
Recommended Citation
M. Di Stefano, G. Gonzalez Mirelis, L. Mayer, Groundtruther: A QGIS plug-in for seafloor characterization, Environmental Modelling & Software, Volume 171, 2024, 105861, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2023.105861.
Comments
This is an open access article published by Elsevier in Environmental Modelling & Software in 2023, available online: https://dx.doi.org/10.1016/j.envsoft.2023.105861