GeoMultiSens - Understanding Changes of the Earth’s Surface with Big Data
Project period: 01/2015 - 12/2017
GeoMultiSens is a Multi-Disciplinary Research Project: Satellite remote sensing is continuously monitoring the Earth’s surface producing very large volumes of remote sensing data. GeoMultiSens exploits current scientific and technological advances in Big Data infrastructures, parallel computing environments, Visual Analytics and links them with the potential of satellite remote sensing data to address global challenges such as deforestation, loss of biodiversity, and mega cities.
GeoMultiSens is a Big Data System for Remote Sensing Data: The goal of the Big Data system GeoMultiSens is to enable scientists to study changes of the Earth’s surface on high-resolution scenes.
GeoMultiSens contributes to Big Data technology and Remote Sensing: Adaptation of the fast memory system XtreemFS to the efficient management of large volumes of remote sensing data. New algorithms for merging existing remote sensing archives into a common reference sensor. Adaptation of remote sensing methods to a parallel analysis environment. Visual analytics methods to support detection and assessment of spatial and temporal changes on the Earth’s surface.
Project website: http://www.geomultisens.gfz-potsdam.de/
Lab members involved
- Patrick Hostert (principal investigator)
- Dirk Pflugmacher, Andreas Rabe
Partners
Funding
This project is publically funded by the Ministry of Education and Research (BMBF)