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Maurice Herman

Researcher at university of lille

Publications -  92
Citations -  10753

Maurice Herman is an academic researcher from university of lille. The author has contributed to research in topics: Aerosol & Radiance. The author has an hindex of 40, co-authored 92 publications receiving 10102 citations. Previous affiliations of Maurice Herman include Goddard Space Flight Center & Lille University of Science and Technology.

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Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview

TL;DR: The 6S code has still limitations; it cannot handle spherical atmosphere and as a result, it cannot be used for limb observations, and the decoupling the authors are using for absorption and scattering effects does not allow to use the code in presence of strong absorption bands.
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Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances

TL;DR: In this paper, the spectral radiance of an aerosol with a bilognormal size distribution is simulated with a single lognormal aerosol, with an appropriate mean radius and width of distribution.
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Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code

TL;DR: In this paper, a computer code (acronym 5S) is developed that allows estimation of the solar radiation backscattered by the Earth-surface-atmosphere system, as it is observed by a satellite sensor.
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Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations

TL;DR: An attempt to enhance aerosol retrieval by emphasizing statistical optimization in inversion of advanced satellite observations to provide satellite retrieval of higher consistency, because the retrieval over each single pixel will be benefiting from coincident aerosol information from neighboring pixels.
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Remote sensing of aerosols over land surfaces from POLDER-ADEOS-1 polarized measurements

TL;DR: In this paper, an aerosol index defined as the product AI = δα 0 is proposed for remote sensing of aerosols over land surfaces, which can systematically correct for the ground contribution whereas the classical approach using natural light fails.