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Visualising geospatial time series datasets in realtime with the digital earth viewer.
Buck, Valentin, Stäbler, Flemming, Mohrmann, Jochen, Gonzalez, Everardo and Greinert, Jens (2022) Visualising geospatial time series datasets in realtime with the digital earth viewer. Computers & Graphics, 103 . pp. 121-128. DOI 10.1016/j.cag.2022.01.010.
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Abstract
Highlights
• The Digital Earth Viewer is an open-source (EUPL-licensed) hybrid application (desktop and server use) for the realtime visualisation and exploration of 4D geoscientific data.
• Splitting the viewer into a natively compiled server-component optimized for maximum throughput and a web-technology-based client component geared towards maximum compatibility allows to harness the strengths of both platforms.
• Desktop builds are release for Windows, Linux, and MacOS.
• The Digital Earth Viewer has been used productively on expedition cruises to plan underwater exploration missions as all as a presentation and data validation tool by the GLODA-project.
Abstract
A comprehensive study of the Earth System and its different environments requires understanding of multi-dimensional data acquired with a multitude of different sensors or produced by various models. Here we present a component-wise scalable web-based framework for simultaneous visualisation of multiple data sources. It helps contextualise mixed observation and simulation data in time and space. This work is an extended version of the conference paper (Buck et al., 2021).
Document Type: | Article |
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Keywords: | GIS-software, 3D, 4D, Data-visualisation, Data-exploration |
Research affiliation: | OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems > FB2-MG Marine Geosystems DeepSea Monitoring OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems |
Main POF Topic: | PT6: Marine Life |
Refereed: | Yes |
Open Access Journal?: | No |
Publisher: | Elsevier |
Related URLs: | |
Projects: | Digital Earth |
Date Deposited: | 14 Feb 2022 12:10 |
Last Modified: | 07 Feb 2024 15:46 |
URI: | https://oceanrep.geomar.de/id/eprint/55214 |
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