GeoMultiSens - Scalable Analysis of Multi-Sensor Remote Sensing Data
The goal of the joint project GeoMultiSens is to develop a new effective BigData technology for remote sensing multi-sensor analysis and to demonstrate its suitability to selected application scenarios. For this purpose, an integrated processing chain is developed, that supports the following operations: the management of large amounts of data in the tera to petabyte scale, the integration of heterogeneous geospatial data in a common reference model, the parallel analysis of large geospatial data and the visual exploration of the data and analysis results for the correct detection and assessment of spatial and temporal changes of the earth's surface.
Publications
2018
2016
2018 |
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Felix Seibert, Mathias Peters, Florian Schintke | Improving I/O Performance Through Colocating Interrelated Input Data and Near-Optimal Load Balancing | Proceedings of the IPDPSW; Fourth IEEE International Workshop on High-Performance Big Data, Deep Learning, and Cloud Computing (HPBDC), Vol.2018, pp. 448-457, 2018 |
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2016 |
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Robert Schmidtke, Guido Laubender, Thomas Steinke | Big Data Analytics on Cray XC Series DataWarp using Hadoop, Spark and Flink | CUG Proceedings, 2016 |
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Daniel Scheffler, Mike Sips, Robert Behling, Doris Dransch, Daniel Eggert, Jan Fajerski, Johann-Christoph Freytag, Patrick Griffiths, André Hollstein, Patrick Hostert, Patrick Köthur, Mathias Peters, Dirk Pflugmacher, Andreas Rabe, Alexander Reinefeld, Florian Schintke, Karl Segel | GeoMultiSens – Scalable Multisensoral Analysis of Satellite Remote Sensing Data | ESA Living Planet Symposium, EO Open Science Posters, 2016 |
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Daniel Scheffler, Mike Sips, Robert Behling, Doris Dransch, Daniel Eggert, Jan Fajerski, Johann-Christoph Freytag, Patrick Griffiths, André Hollstein, Patrick Hostert, Patrick Köthur, Mathias Peters, Dirk Pflugmacher, Andreas Rabe, Alexander Reinefeld, Florian Schintke, Karl Segel | Geomultisens – a common automatic processing and analysis system for multi-sensor satellite data | Advancing Horizons for Land Cover Services Entering the Big Data Era, Second joint Workshop of the EARSeL Special Interest Group on Land Use & Land Cover and the NASA LCLUC Program, pp. 18-19, 2016 |
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