Papers
1
Total Citations
39
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About
T. Marbach is a leading figure in satellite remote sensing, whose work centers on the retrieval of aerosol and surface properties from spaceborne sensors. Their major contributions lie in the development and validation of advanced retrieval algorithms, most notably applying the Generalized Retrieval of Aerosol and Surface Properties (GRASP) approach to data from the Copernicus Sentinel-3A satellite. Their landmark 2022 study, which has garnered 39 citations, demonstrates how the Ocean and Land Color Instrument (OLCI) can be harnessed to simultaneously characterize atmospheric aerosols and land/ocean surfaces across 21 spectral bands. This work is pivotal for improving climate models and environmental monitoring, as it enables more accurate separation of atmospheric and surface signals. Marbach’s research directly supports the operational use of Sentinel-3 data, bridging the gap between raw satellite radiance and actionable geophysical products. Their achievements are notable for advancing the synergy between multi-spectral imaging and complex inversion techniques, making them a key contributor to the European Space Agency’s Copernicus program and a vital resource for researchers studying air quality, ocean color, and land surface dynamics.
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Top Papers
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