Martin’s the lecturer who actually built the systems behind the hyperspectral data EAGLE students learn to analyze. He’s a research scientist with the Land Surface Dynamics Department at DLR’s German Remote Sensing Data Center in Wessling, and his over twenty years of experience in hyperspectral data analysis and pre-processing shows up directly in what he teaches.

For eight years he ran the data pre-processing chain for DLR’s Optical Airborne Remote Sensing and Calibration Facility, and he currently leads the Data Quality Control work package within the EnMAP and DESIS ground segment, Germany’s hyperspectral spaceborne missions. That kind of close, hands-on relationship with calibration and data quality is exactly what makes his teaching distinctive, he’s not explaining hyperspectral remote sensing from the outside, he’s explaining the pipeline he personally helped build and still runs. In addition, he’s involved in the upcoming ESA spectrometer mission CHIME, as well as in the validation activities of ESA FLEX.

And since many years, he is involved in teaching / training activities focusing on optical remote sensing data analysis (Universities of Wuerzburg and Jena, within DLR capacity building activities and Marie-Curie projects). Integrating field spectrometer measurements in the courses, students can work on the full chain: from experiment set-up, actual spectroscopic measurements and data pre-processing to the actual retrieval of bio- / geophysical variables, and the transfer to airborne and spaceborne hyperspectral sensors.