Image-sequence analysis in geo-scientific applications Anette Eltner (TU Dresden, Germany)
The potential of images to answer research questions in geosciences is vast. Earth observation with image sequences allows for qualitative and quantitative assessment of earth surface processes and their changes. This contribution discusses potentials of image processing focusing on three different disciplines, i.e. soil sciences, hydrology, and glaciology. The first application introduces the potential of multi-temporal UAV data to reconstruct soil surface models to identify erosion rills and their changes over time to better understand the process of soil erosion. Furthermore, an application in hydrology is introduced to process and analyze image sequences from various sources to measure water levels and flow velocities. A third instance discusses the utilization of time-lapse imagery to measure glacial lake outburst floods. These case studies are chosen to display the variety of applications of image processing in geosciences and to support evaluation of further potentials.