Released
Software
GeoMultiSens: Scalable Multi-Sensor Analysis Platform for Remote Sensing Data
Cite as:
Sips, Mike; Dransch, Doris; Eggert, Daniel; Freytag, Johann-Christoph; Hollstein, Andre; Hostert, Patrick; Peters, Mathias; Pflugmacher, Dirk; Rabe, Andreas; Reinefeld, Alexander; Scheffler, Daniel; Schintke, Florian; Segl, Karl; Seibert, Felix; Taeschner, Jochen (2018): GeoMultiSens: Scalable Multi-Sensor Analysis Platform for Remote Sensing Data. V. 1.0.0. GFZ Data Services. https://doi.org/10.5880/GFZ.1.5.2018.005Status
I N R E V I E W : Sips, Mike; Dransch, Doris; Eggert, Daniel; Freytag, Johann-Christoph; Hollstein, Andre; Hostert, Patrick; Peters, Mathias; Pflugmacher, Dirk; Rabe, Andreas; Reinefeld, Alexander; Scheffler, Daniel; Schintke, Florian; Segl, Karl; Seibert, Felix; Taeschner, Jochen (2018): GeoMultiSens: Scalable Multi-Sensor Analysis Platform for Remote Sensing Data. V. 1.0.0. GFZ Data Services. https://doi.org/10.5880/GFZ.1.5.2018.005Abstract
GeoMultiSens developed an integrated processing pipeline to support the analysis of homogenized data from various remote sensing archives. The processing pipeline has five main components: (1) visual assessment of remote sensing Earth observations, (2) homogenization of selected Earth observation, (3) efficient data management with XtreemFS, (4) Python-based parallel processing and analysis algorithms implemented in a Flink cloud environment, and (5) visual exploration of the results. GeoMultiSens currently supports the classification of land-cover for Europe.Authors
Contact
- Sips, Mike; GFZ German Research Centre for Geosciences, Potsdam, Germany;