Summary
Marc Wieland is a researcher and geospatial software developer with 11 years of experience turning multi-sensor Earth observation and in-situ data into actionable products for disaster risk management. Based at the German Aerospace Center (DLR), he blends research rigor with production-grade tooling—Python, Kubernetes, Git, and spatial databases—to operationalize remote-sensing algorithms. His work spans multi-sensor fusion (optical and SAR), spatio-temporal analysis, sampling prioritization, and web mapping, reflecting roles at DLR, University of Oxford, GFZ and a visiting stint in Japan. He routinely integrates server technologies (GeoServer, Thredds, Tomcat) and GIS stacks (PostGIS, QGIS) to deliver end-to-end data lifecycles from acquisition to visualization. With a PhD in Geoengineering from TU Berlin and a background in geography from Heidelberg, he’s comfortable moving between statistical pattern recognition and pragmatic system deployment. Notably, he focuses on making early-warning and civil-security research reproducible and operational rather than purely theoretical.
11 years of coding experience
8 years of employment as a software developer
Ph.D., Geoingenieurwissenschaften, Ph.D., Geoingenieurwissenschaften at Technische Universität Berlin / Technical University Berlin
Master's degree, Geography, Master's degree, Geography at Ruprecht-Karls-Universität Heidelberg / University of Heidelberg
Spanish, English, German