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Space-Based Remote Sensing of Atmospheric Aerosols: The Multi-Angle Spectro-Polarimetric FrontierThe review of optical instrumentation, forward modeling, and inverse problem solution for the polarimetric aerosol remote sensing from space is presented. The special emphasis is given to the description of current airborne and satellite imaging polarimeters and also to modern satellite aerosol retrieval algorithms based on the measurements of the Stokes vector of reflected solar light as detected on a satellite. Various underlying surface reflectance models are discussed and evaluated.
Document ID
20160005005
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Kokhanovsky, A. A.
(European Organization for the Exploitation of Meteorological Satellites Darmstadt, Germany)
Davis, A. B.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Cairns, B.
(NASA Goddard Inst. for Space Studies New York, NY, United States)
Dubovik, O.
(Lille Univ. France)
Hasekamp, O. P.
(SRON Space Research Organization Utrecht, Netherlands)
Sano, I.
(Kinki Univ. Osaka, Japan)
Mukai, S.
(Maizuru National Coll. of Technology Kyoto, Japan)
Rozanov, V. V.
(Bremen Univ. Germany)
Litvinov, P.
(Lille Univ. France)
Lapyonok, T.
(Lille Univ. France)
Martin, W.
(NASA Goddard Inst. for Space Studies New York, NY, United States)
Wasilewski, A.
(TRINNOVIM, LLC New York, NY, United States)
Xu, F.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Natraj, V.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
April 12, 2016
Publication Date
June 1, 2015
Publication Information
Publication: Earth-Science Reviews
Publisher: Elsevier
Volume: 145
ISSN: 0012-8252
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN31140
Funding Number(s)
CONTRACT_GRANT: NNG12HP07
Distribution Limits
Public
Copyright
Other
Keywords
polarimetry
Optical instrumentation
radiative transfer
climate change
aerosol
remote sensing

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