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International Journal of Digital Earth Volume 9, 2016 - Issue 1
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Original Articles

Big Data Analytics for Earth Sciences: the EarthServer approach

Peter BaumannLarge-Scale Scientific Information Systems, Jacobs University, Bremen, Germany;Rasdaman GmbH, Bremen, GermanyCorrespondence[email protected]
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Paolo MazzettiCNR-IIA, National Research Council of Italy, Institute of Atmospheric Pollution Research, Florence, ItalyView further author information
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Joachim UngarEOX IT Services GmbH, Vienna, AustriaView further author information
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Roberto BarberaConsorzio COMETA, Catania, Italy;Division of Catania, Italian National Institute for Nuclear Physics, Catania, Italy;Department of Physics and Astronomy, University of Catania, Catania, ItalyView further author information
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Damiano BarboniMEEO S.r.l., Ferrara, ItalyView further author information
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Alan BeccatiLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Lorenzo BigagliCNR-IIA, National Research Council of Italy, Institute of Atmospheric Pollution Research, Florence, ItalyView further author information
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Enrico BoldriniCNR-IIA, National Research Council of Italy, Institute of Atmospheric Pollution Research, Florence, ItalyView further author information
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Riccardo BrunoConsorzio COMETA, Catania, Italy;Division of Catania, Italian National Institute for Nuclear Physics, Catania, ItalyView further author information
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Antonio CalanducciDivision of Catania, Italian National Institute for Nuclear Physics, Catania, ItalyView further author information
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Piero CampalaniLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Oliver ClementsPlymouth Marine Laboratory, Plymouth, UKView further author information
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Alex DumitruLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Mike GrantPlymouth Marine Laboratory, Plymouth, UKView further author information
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Pasquale HerzigFraunhofer IGD, Darmstadt, GermanyView further author information
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George KakaletrisAthena Research and Innovation Center in Information Communication & Knowledge Technologies, Athens, GreeceView further author information
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John LaxtonBritish Geological Survey, Edinburgh, UKView further author information
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Panagiota KoltsidaAthena Research and Innovation Center in Information Communication & Knowledge Technologies, Athens, GreeceView further author information
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Kinga LipskochLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Alireza Rezaei MahdirajiLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Simone MantovaniMEEO S.r.l., Ferrara, ItalyView further author information
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Vlad MerticariuLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Antonio MessinaSoftware Engineering Italia S.r.l., Catania, ItalyView further author information
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Dimitar MisevLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Stefano NataliMEEO S.r.l., Ferrara, ItalyView further author information
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Stefano NativiCNR-IIA, National Research Council of Italy, Institute of Atmospheric Pollution Research, Florence, ItalyView further author information
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Jelmer OosthoekLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Marco PappalardoSoftware Engineering Italia S.r.l., Catania, ItalyView further author information
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James PassmoreBritish Geological Survey, Keyworth, UKView further author information
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Angelo Pio RossiLarge-Scale Scientific Information Systems, Jacobs University, Bremen, GermanyView further author information
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Francesco RundoConsorzio COMETA, Catania, ItalyView further author information
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Marcus SenBritish Geological Survey, Keyworth, UKView further author information
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Vittorio SorberaConsorzio COMETA, Catania, ItalyView further author information
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Don SullivanNASA Ames Research Center, Moffett Field, CA, USAView further author information
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Mario TorrisiDivision of Catania, Italian National Institute for Nuclear Physics, Catania, ItalyView further author information
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Leonardo TrovatoSoftware Engineering Italia S.r.l., Catania, ItalyView further author information
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Maria Grazia VeratelliMEEO S.r.l., Ferrara, ItalyView further author information
&
Sebastian WagnerFraunhofer IGD, Darmstadt, GermanyView further author information
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Pages 3-29 | Received 03 Oct 2014, Accepted 23 Dec 2014, Published online: 02 Mar 2015

Figures & data

Figure 1. EarthServer data service component diagram (generic architecture).
Figure 1. EarthServer data service component diagram (generic architecture).

Listing 1: Example of an xWCPS query.

Listing 1: Example of an xWCPS query.
Figure 2. The 3D web client, configured to display data from two sources (DEM and point cloud) in a shared scene.
Figure 2. The 3D web client, configured to display data from two sources (DEM and point cloud) in a shared scene.
Figure 3. Screenshots from the EarthServer Science Gateway Mobile app.
Figure 3. Screenshots from the EarthServer Science Gateway Mobile app.
Figure 4. EarthServer Marine Service: Band Ratio Client provides a simple user interface to generate complex algorithms for teaching and testing new ideas.
Figure 4. EarthServer Marine Service: Band Ratio Client provides a simple user interface to generate complex algorithms for teaching and testing new ideas.
Figure 5. EarthServer Geology Service: Contrast adjustment of selected image.
Figure 5. EarthServer Geology Service: Contrast adjustment of selected image.
Figure 6. EarthServer Atmospheric Service: Analysis of aerosol (MACC, MODIS, AATSR) and temperature (MACC) time series: the AOT anomaly (high values) over China on 21 March 2013 is investigated to identify spatial-temporal impacts of meteorological parameters.
Figure 6. EarthServer Atmospheric Service: Analysis of aerosol (MACC, MODIS, AATSR) and temperature (MACC) time series: the AOT anomaly (high values) over China on 21 March 2013 is investigated to identify spatial-temporal impacts of meteorological parameters.
Figure 7. EarthServer Cryosphere Service: drainage basin statistics.
Figure 7. EarthServer Cryosphere Service: drainage basin statistics.
Figure 8. EarthServer Planetary Service: architecture (A) and multiple clients (B, C) and server setup. Original data derive from public Planetary Data System archives. Updated info and access on http://planetserver.eu.
Figure 8. EarthServer Planetary Service: architecture (A) and multiple clients (B, C) and server setup. Original data derive from public Planetary Data System archives. Updated info and access on http://planetserver.eu.
Figure 9. The OGC coverage suite of standards for spatio-temporal data access.
Figure 9. The OGC coverage suite of standards for spatio-temporal data access.

Listing 2: Sample WCPS query.

Listing 2: Sample WCPS query.

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