search DOI 10.17882/70460

Globe (GLobal Oceanographic Bathymetry Explorer) Software

GLOBE (GLobal Oceanographic Bathymetry Explorer) is an innovative application for processing and displaying oceanographic data. GLOBE offers processing and display solutions of multi-sensor data within a single 3D environment represented as a globe.

Currently the software is mainly used for processing, analysing and displaying acoustic data, as well as moving tectonic plates.

Developed in Java, GLOBE is a multiplatform application (Windows, Linux, Mac for PLACA) whose architecture allows users to develop and add with ease new modules for processing and visualizing data.

More detailled description and installation procedure can be found on Ifremer's fleet site https://www.flotteoceanographique.fr

Globe source code is available on Ifremer's gitlab repository https://gitlab.ifremer.fr/fleet/globe

Disciplines

Cross-discipline

Keywords

Bathymetry, acoustics, swath mapping, data processing, Digital Terrain Model, DTM, grid, EMODnet, seafloor, elevation, water column, placa, placa4D, seafloor depth, ocean depth

Data

Alternative access to data

FileSizeFormatProcessingAccess
Globe Linux V1.16.15
2 GoExecutable
Download
Globe Windows V2.5.12
1 GoExecutable
Download
How to cite
Poncelet Cyrille, Billant Gael, Corre Marie-Paule, Saunier Anthony (2024). Globe (GLobal Oceanographic Bathymetry Explorer) Software. SEANOE. https://doi.org/10.17882/70460

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Related datasets
Jeandel catherine, Planquette Hélène, Briais Anne, Boulart Cédric, Poncelet Cyrille, Scalabrin Carla, Bisquay Herve (2021). High-resolution bathymetry map (15-m grid) of a segment of the SWIR provided by MBES data acquired during the 2021 SWINGS marine expedition on the Marion Dufresne vessel. SEANOE. https://doi.org/10.17882/89462
EMODnet Bathymetry Consortium (2018). EMODnet Digital Bathymetry (DTM 2018). EMODnet Bathymetry Consortium. https://doi.org/10.12770/18FF0D48-B203-4A65-94A9-5FD8B0EC35F6
EMODnet Bathymetry Consortium (2016). EMODnet Digital Bathymetry (DTM 2016). EMODnet Bathymetry Consortium. https://doi.org/10.12770/C7B53704-999D-4721-B1A3-04EC60C87238
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