The working group develops concepts and software tools to analyse and interprete large, high-dimensional, heterogeneous and often uncertain data sets. It combines methods from data mining/machine learning, visual data exploration, data bases and big data technologies into novel approaches.

Find Relations among heterogeneous data

Geoscientists make use of data from sensors, geoarchives (such as core samples), and simulations to study the system Earth. The data describe Earth processes on various scales in space and time and by many different variables. Our methods facilitate the comparison of data from different sources and the integrated analysis of the heterogeneous data.

Research & Technologies:

Extract relevant information from large data sets

Current simulation models as well as observation systems generate large quantities of data. Our methods extract the important information from these data and present it in a compact and efficient manner to scientists.

Research & Technologies:

Exploration of multi-dimensional data

Geoscientists need to understand the behavior of Earth system processes based on multi-dimensional data. Our solutions enable scientists to explore spatio-temporal data to detect relevant information from multi-dimensional data.

Research & Technologies:


Mike Sips
Group Leader
Dr. Mike Sips
Remote Sensing and Geoinformatics
Building A 20, Room 303
14473 Potsdam
+49 331 288-1982