Daniel Marth
Papers
3
Total Citations
281
H-Index
3
About
Daniel Marth is a leading figure in atmospheric remote sensing, specializing in the retrieval of aerosol properties using advanced satellite polarimetry. His most impactful work centers on the validation and application of the GRASP (Generalized Retrieval of Aerosol and Surface Properties) algorithm, a cornerstone for interpreting multi-angular spectral polarimetry data. Marth’s seminal 2020 paper, cited over 227 times, rigorously validated the GRASP product from POLDER/PARASOL data, demonstrating the unparalleled potential of multi-angular polarimetry for comprehensive aerosol monitoring—a critical tool for climate and air quality studies. He further extended this framework to the Ocean and Land Color Instrument (OLCI) aboard Sentinel-3A, developing and validating a novel retrieval approach that harmonizes aerosol and surface property estimation across 21 spectral bands, as detailed in his 2022 work (39 citations). By bridging theoretical polarimetry with operational satellite missions, Marth has enabled more accurate, global-scale aerosol characterization, directly supporting climate modeling and environmental policy. His contributions are pivotal as next-generation space polarimeters launch, cementing his role in advancing Earth observation science.
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