Name
Title | ||
|---|---|---|
Visualising geospatial time series datasets in realtime with the Digital Earth Viewer |
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). (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.cag.2022.01.010 | COMPUTERS & GRAPHICS-UK |
Keywords | DocType | Volume |
GIS-software, 3D, 4D, Data-visualisation, Data-exploration | Journal | 103 |
ISSN | Citations | PageRank |
0097-8493 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentin Buck | 1 | 0 | 0.34 |
| Flemming Staebler | 2 | 0 | 0.34 |
| Jochen Mohrmann | 3 | 0 | 0.34 |
| Everardo Gonzalez | 4 | 0 | 0.34 |
| Jens Greinert | 5 | 0 | 0.34 |