Faculty of Mathematics and Natural Sciences - Earth Observation Lab

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.

Grafic GeoMultiSens components

 

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
Partners
  • Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
  • Zuse Institute Berlin (ZIB)
Funding

This project is publically funded by the Ministry of Education and Research (BMBF)