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).
Description
Visualising geospatial time series datasets in realtime with the Digital Earth Viewer - ScienceDirect
%0 Journal Article
%1 buck2022visualising
%A Buck, Valentin
%A Stäbler, Flemming
%A Mohrmann, Jochen
%A González, Everardo
%A Greinert, Jens
%D 2022
%J Computers & Graphics
%K application visualization
%P 121-128
%R https://doi.org/10.1016/j.cag.2022.01.010
%T Visualising geospatial time series datasets in realtime with the Digital Earth Viewer
%U https://www.sciencedirect.com/science/article/pii/S0097849322000103
%V 103
%X 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).
@article{buck2022visualising,
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).},
added-at = {2022-09-27T11:10:44.000+0200},
author = {Buck, Valentin and Stäbler, Flemming and Mohrmann, Jochen and González, Everardo and Greinert, Jens},
biburl = {https://www.bibsonomy.org/bibtex/2d6a4fa5900c828250d6bcea78645af74/abernstetter},
description = {Visualising geospatial time series datasets in realtime with the Digital Earth Viewer - ScienceDirect},
doi = {https://doi.org/10.1016/j.cag.2022.01.010},
interhash = {ed006c454b441b7eef0f450764b9fdf7},
intrahash = {d6a4fa5900c828250d6bcea78645af74},
issn = {0097-8493},
journal = {Computers & Graphics},
keywords = {application visualization},
pages = {121-128},
timestamp = {2022-09-27T11:10:44.000+0200},
title = {Visualising geospatial time series datasets in realtime with the Digital Earth Viewer},
url = {https://www.sciencedirect.com/science/article/pii/S0097849322000103},
volume = 103,
year = 2022
}