Integrating Data Science and Earth Science

This open access book presents the results of three years collaboration between earth scientists and data scientists, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows

Digital Earth Viewer

The Digital Earth Viewer is a tool for the visualisation and exploration of geospatial data in true 3D over time. It runs on Windows, MacOS and Linux and only requires a modern webbrowser to use. Common file formats such as CSV, netCDF, GeoTIFF and many more are natively supporte

Visualising geospatial time series datasets in realtime with the digital earth viewer

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)

Data Analysis and Exploration with Visual Approaches

A comprehensive study of the Earth system and its related processes requires a holistic examination and understanding of multidimensional data acquired with a large number of different sensors or produced by various models. To this end, the Digital Earth project developed a set of software solutions to study environmental data sets using visual approaches. In the following chapter, we present three data visualization products developed to deal with the challenges of the analysis and exploration of environmental data