Big Data Analytics

We are a group of computer scientists with ten years of experience developing data analytics methods in interdisciplinary research projects. Our data analytics methods support users essential data analytics steps 1) to identify appropriate data for the scientific scenario at hand, 2) to understand data's properties, 3) to extract relevant information from the data, and 4) to interpret the extracted information.




Our Expertise

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