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Improving Remote Sensing of Aerosol Optical Depth over Land by Polarimetric Measurements at 1640 nm: Airborne Test in North China

Lili Qie, Zhengqiang Li, Xiaobing Sun, Bin Sun, Donghui Li, Zhao Liu, Wei Huang, Han Wang, Xingfeng Chen, Weizhen Hou, Yanli Qiao
2015 Remote Sensing  
The AMPR measurements over the Beijing-Tianjin-Hebei region in north China reveal that the polarized surface reflectance of 670, 865 and 1640 nm are highly correlated with correlation slopes close to one  ...  An improved aerosol retrieval algorithm based on the Advanced Multi-angular Polarized Radiometer (AMPR) is presented to illustrate the utility of additional 1640-nm observations for measuring aerosol optical  ...  Conflicts of Interest The authors declare no conflict of interest. Remote Sens. 2015, 7  ... 
doi:10.3390/rs70506240 fatcat:f36vlzyu4jcf3cqfzti7xpxgem

Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives

Oleg Dubovik, Zhengqiang Li, Michael I. Mishchenko, Didier Tanré, Yana Karol, Bojan Bojkov, Brian Cairns, David J. Diner, W. Reed Espinosa, Philippe Goloub, Xingfa Gu, Otto Hasekamp (+28 others)
2019 Journal of Quantitative Spectroscopy and Radiative Transfer  
Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives. observations of single scattering with no contributions from multiple scattering effects and  ...  It also discusses the main achievements and challenges in the exploitation of polarimetry for the improved characterization of atmospheric aerosols.  ...  Many airborne versions of orbital polarimeters have been developed and deployed during field campaigns to test and improve the concept of polarimetric remote sensing.  ... 
doi:10.1016/j.jqsrt.2018.11.024 fatcat:w6ahxtkturgldcfl6t6prce7km

Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 1. Information content analysis

Xiaoguang Xu, Jun Wang
2015 Journal of Geophysical Research - Atmospheres  
The research goal of this thesis is to obtain the aerosol microphysical properties of both fine and coarse modes from the polarimetric solar radiation measured by the SunPhotometer of the Aerosol Robotic  ...  Along with the polarimetric retrieval, we also performed radiance-only retrieval to reveal the improvements by adding polarization in the inversion.  ...  an indirect aerosol forcing of climate and for validating aerosol retrievals from space polarimetric remote sensing.  ... 
doi:10.1002/2015jd023108 fatcat:hgmngxxgfbf4fdtiiokh72vttq

Aerosol remote sensing in polar regions

Claudio Tomasi, Alexander A. Kokhanovsky, Angelo Lupi, Christoph Ritter, Alexander Smirnov, Norman T. O'Neill, Robert S. Stone, Brent N. Holben, Stephan Nyeki, Christoph Wehrli, Andreas Stohl, Mauro Mazzola (+23 others)
2015 Earth-Science Reviews  
65 Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 66 Antarctic sites were examined to determine daily mean values of aerosol optical thickness () at 67  ...  The main columnar aerosol optical characteristics were determined 89 for all 14 particle modes, based on in-situ measurements of the scattering and absorption 90 coefficients.  ...  The optical properties of particulate matter were defined according to the 2189 data provided by the in-situ active remote sensing measurements, and used to determine the optical 2190 characteristics of  ... 
doi:10.1016/j.earscirev.2014.11.001 fatcat:z3mhqqkpifdjdiuv4qdrip2eey

Establishing common standards and requirements for Earth Observation management, access and sharing:

Αβραάμ Π. Μαυρίδης
and private companies which are an essential part in the evolution of issues on Earth Observation in a global scale.  ...  which is a goal of paramount importance for the development and sustainability of the region the Balkan peninsula in the future.  ...  Observed Aerosol Optical Depth and Aerosol Speciation Record (Aerosol parameters are retrieved from a combination of simultaneous AATSR and SCIAMACHY measurements).  ... 
doi:10.26262/ fatcat:dd4msztzdfaevh6vu3to5wevoe