Bastian Siegmann

Bastian Siegmann is a Researcher in the Department of Water Resources and affiliated with the Digital Society Institute, focusing on remote sensing and environmental monitoring. His work spans Earth and Planetary Sciences, with a particular emphasis on optical measuring instruments and data quality in ecological studies.

His research explores crop stress detection using unmanned aerial vehicles (UAVs), synthetic spatial scaling exercises, and Sentinel-2 satellite data analysis. Key methodologies include sensor synergies, preprocessing techniques, and sub-pixel resolution modeling for chlorophyll fluorescence.

Recent projects involve UAV-based remote sensing, synthetic data validation, and satellite-derived metrics for agricultural monitoring. Collaborations span multiple institutions across Europe, focusing on precision agriculture and environmental data acquisition.