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
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 Felix Seibert, Mathias Peters, Florian Schintke BibTeX
DOI
GeoMultiSens
2016
Big Data Analytics on Cray XC Series DataWarp using Hadoop, Spark and Flink CUG Proceedings, 2016 Robert Schmidtke, Guido Laubender, Thomas Steinke PDF
BibTeX
GeoMultiSens
GeoMultiSens – Scalable Multisensoral Analysis of Satellite Remote Sensing Data ESA Living Planet Symposium, EO Open Science Posters, 2016 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 BibTeX
GeoMultiSens
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 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 BibTeX
GeoMultiSens