Conference Agenda
| Session | ||
07.03 Quantifying surface and near-surface dynamics with remote sensing and geophysics
| ||
| Presentations | ||
8:30am - 8:45am
Topics: 07.03 Quantifying surface and near-surface dynamics with remote sensing and geophysics Linking microbial dynamics to geophysical signals in porous media 1: Universität Kassel, Germany; 2: School of Science and the Environment, Memorial University of Newfoundland, Canada 8:45am - 9:00am
Topics: 07.03 Quantifying surface and near-surface dynamics with remote sensing and geophysics Linking Geophysical Signatures to Iron Mineral Dissolution in Acidified Aquifer Sands Hydrogeology, University of Kassel, Germany 9:00am - 9:15am
Topics: 07.03 Quantifying surface and near-surface dynamics with remote sensing and geophysics Controls on valley-floor width in the western Andes 1: Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany; 2: Department of Geography, Durham University, Durham, England; 3: Institute of Geosciences, University of Potsdam, Potsdam, Germany 9:15am - 9:30am
Topics: 07.03 Quantifying surface and near-surface dynamics with remote sensing and geophysics Unravelling the key mechanisms and chronology of zebra stripe formation in the Atacama Desert (N Chile) 1: University of Cologne, Institute of Geography, Cologne, Germany; 2: Technische Universität Dresden, Geosensor Systems, Dresden, Germany; 3: Pontificia Universidad Católica de Chile, Instituto de Geografía, Santiago, Chile; 4: RWTH Aachen University, Department of Geography, Aachen, Germany; 5: University of Cologne, Institute of Geology and Mineralogy, Cologne, Germany; 6: University of Göttingen, Department of Physical Geography, Göttingen, Germany; 7: Heidelberg University, Institute of Geography, Heidelberg, Germany 9:30am - 9:45am
Topics: 07.03 Quantifying surface and near-surface dynamics with remote sensing and geophysics From Pixel to Processes in Soil Erosion Research: Advancing 4D Analysis for Spatiotemporal Process Disaggregation and Model Evaluation 1: TUD Dresden University of Technology, Institute of Photogrammetry and Remote Sensing, Dresden, Germany; 2: Technical University of Munich, TUM School of Engineering and Design, Munich, Germany | ||