Literature DB >> 20563208

Scattering properties of sands. 2. Results for sands from different origins.

Jean-Baptiste Renard1, Mirvatte Francis, Edith Hadamcik, Daniel Daugeron, Benoît Couté, Bertrand Gaubicher, Matthieu Jeannot.   

Abstract

Mineral sand is a major component of aerosols in the atmosphere. It is necessary to have a laboratory database to interpret the remote sensing measurements of light scattered by such grains. For this purpose, the PROGRA2 experiment is dedicated to the retrieval of polarization and brightness phase curves, in the visible wavelength domain, of various grains that can be found in Earth's atmosphere and in space. The measurements of the scattered light by levitating clouds of grains are conducted at two wavelengths, 632.8 and 543.5nm, with PROGRA2-VIS. Large grains (at least tens of micrometers) are studied in microgravity conditions during parabolic flights; smaller (micrometer-sized) grains are lifted by an air draught in ground-based conditions. The PROGRA2-SURF instrument allows measurements on the grains deposited on a plane surface, at the same wavelengths. New data for the scattering properties are presented for sands of various origins, including fine clay. The polarimetric phase curves for levitating grains are close to each other for all the samples (except for black sands); small discrepancies are mainly due to grains' light absorption differences. The polarization curves for levitating grains differ strongly from those of deposited grains (dry or wet). In particular, these curves can be used to interpret remote sensing measurements to distinguish between grains at ground and grains transported by winds.

Year:  2010        PMID: 20563208     DOI: 10.1364/AO.49.003552

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Vertical distribution of aerosols in dust storms during the Arctic winter.

Authors:  Pavla Dagsson-Waldhauserova; Jean-Baptiste Renard; Haraldur Olafsson; Damien Vignelles; Gwenaël Berthet; Nicolas Verdier; Vincent Duverger
Journal:  Sci Rep       Date:  2019-11-06       Impact factor: 4.379

2.  Towards an Automatic Pollen Detection System in Ambient Air Using Scattering Functions in the Visible Domain.

Authors:  Jean-Baptiste Renard; Houssam El Azari; Jérôme Richard; Johann Lauthier; Jérémy Surcin
Journal:  Sensors (Basel)       Date:  2022-07-01       Impact factor: 3.847

  2 in total

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