Articles | Volume 19, issue 1
https://doi.org/10.5194/amt-19-293-2026
https://doi.org/10.5194/amt-19-293-2026
Research article
 | 
15 Jan 2026
Research article |  | 15 Jan 2026

Application of XBAER aerosol optical depth retrieval algorithm to hyperspectral EnMAP satellite data

Simon Laffoy, Marco Vountas, Linlu Mei, and Hartmut Bösch

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Short summary
Aerosol are particles in the atmosphere such as dust, salt, soot and sulfates. They may be measured by applying algorithms to satellite images of the Earth. We attempt to apply data from the new Environmental Mapping and Analysis Program (EnMAP) satellite to the existing XBAER algorithm, which was previously applied to data from the Ocean Land and Colour Instrument (OLCI) satellite. This paper compares the satellite inputs and aerosol outputs of the XBAER algorithm and finds good results.
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