Christian Geiss

risk assessment, natural hazard research

About

Christian is with the team “Modeling and geostatistical analysis” at the German Aerospace Center (DLR). He worked on several topics related to renewable energy, earthquake risk assessment, and methods for remote sensing data processing. His current research interests include techniques of multimodal remote sensing, machine learning, and pattern recognition, specifically applied to the field of natural hazard risk research.

 

Dr. Christian Geiss, DLR-EOC

Recent News

EAGLE students coding with sweets

EAGLE students coding with sweets

Today our EAGLE students applied data munging, pipes, plotting and statistics using colour distribution of sweets. They specifically used the dplyr, ggplot, kableExtra and others to compute derivatives, rearrange the data, plot it and run statistics on colour...

Spatial Python block course

Spatial Python block course

Last week Steven Hill and Thorsten Dahms gave a course that introduced EAGLE students to Python-based spatial data analysis. The advantages and challenges of different python libraries, data sets and methods were covered in hands-on exercises and also discussed...

Interdisciplinary course in the Bavarian Forest

Interdisciplinary course in the Bavarian Forest

The Bavarian Forest and the Bohemian Forest together form the largest contiguous forest area in central Europe, which is of an extraordinary importance for the protection and maintenance of biological diversity. Since 1970, a large area of the forest is protected as a...

EAGLE excursion to DLR-EOC

EAGLE excursion to DLR-EOC

Our 2017 EAGLEs spend a great day at DLR-EOC close to Munich and learnt a lot about applied remote sensing. Beside talks about a variety of topics did the EAGLE students also have the chance to discuss in small groups with DLR scientists their research or...