Online characterization of planetary surfaces: PlanetServer, an open-source analysis and visualization tool

The lack of open-source tools for hyperspectral data visualization and analysis creates a demand for new tools. In this paper we present the new PlanetServer, a set of tools comprising a web Geographic Information System (GIS) and a recently developed Python Application Programming Interface (API) capable of visualizing and analyzing a wide variety of hyperspectral data from different planetary bodies. Current WebGIS open-source tools are evaluated in order to give an overview and contextualize how PlanetServer can help in this matters.

Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data

Big Earth Data has experienced a considerable increase in volume in recent years due to improved sensing technologies and improvement of numerical-weather prediction models. The traditional geospatial data analysis workflow hinders the use of large volumes of geospatial data due to limited disc space and computing capacity. Geospatial web service technologies bring new opportunities to access large volumes of Big Earth Data via the Internet and to process them at server-side.

Spatiotemporal Data-Cube Retrieval and Processing with xWCPS

Management and processing of big data is inherently interweaved with the exploitation of their metadata, also "big" on their own, not only due to the increased number of datasets that get generated with continuously increased rates, but also due to the need for deeper and wider description of those data, which yields metadata of higher complexity and volume.

Fostering Cross-Disciplinary Earth Science Through Datacube Analytics

With the unprecedented increase of orbital sensor, in situ measurement, and simulation data there is a rich, yet not leveraged potential for obtaining insights from dissecting datasets and rejoining them with other datasets. Obviously, goal is to allow users to “ask any question, any time, on any size”, thereby enabling them to “build their own product on the go”.

All in One: Encoding Spatio-Temporal Big Data in XML, JSON, and RDF Without Information Loss. Standardizing Big Earth Datacube.

With the unprecedented availability of continuously observed and generated data there is a likewise unprecedented potential for new and timely insights; yet, benefits are not fully leveraged as of today. The plethora of formats in combination with heterogeneous services remains is an obstacle - e.g., image services prefer binary formats, SPARQL endpoints like to think in RDF triples, and browsers integrate JSON data smoothly. We propose a model-based multi-encoding approach for overcoming the limitations of individual formats while still supporting their use.

D 5.3 Standardization Report - Consolidated

EarthServer-2 WP5 addresses “datacube” standardization in relevant bodies and, additionally, outreach work in the Research Data Alliance (RDA). 

In this report, we summarize progress made in the reporting period, month 19 (following mid-term review) through 36 (end of the project). During this one and a half year period Earth¬Server-2 standardization work has led continued producing significant and inter¬nat¬ion¬ally visible results in OGC, ISO, and INSPIRE. Also in RDA substantial and visible results have been accomplished. 

D 6.3 Networking Report – Consolidated

Between July 2017 and April 2018, individual project partners and the EarthServer-2 consortium jointly were involved in multiple outreach activities to reach domain-specific audiences, policymakers, industry experts and the general public. The range of expertise to the EarthServer-2 project partners gives this enterprise a special ability to reach a variety of different communities, including climate science, marine science, planetary science, Earth observation and ‘big data’ geospatial databases.

D 4.6 Data Management Plan – Final

Data management is a major focus of the EarthServer-2 project, which addresses problems such as searching, filtering and analysing huge (100TB+) datasets that, due to their size, cannot be processed on the client side. The tools and standards developed during EarthServer-2 will improve the accessibility and reuse of these datasets.

D 4.5 Service Operation Report - Consolidated

This report outlines the final state of the services developed during the final period of the EarthServer-2 project as well as highlighting the overall achievements during the full period of the project.  The service aim was to increase the data holdings available to users to in excess of 1 Petabyte. This has been achieved with the total data available, not including MARS archive, well in excess of 1.5 Petabytes. If we include the size of the data provided by the Climate Science Data Service the total is in excess of 2 Petabytes.  

D 3.3 Development Report - Full

This report summarises all the developments and the progress that took place between M3 and M4 and documents the enhancements and additional functionality to the previously reported work of WP3, described in detail in the D3.2 report.