2013
DOI: 10.5194/amt-6-2007-2013
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The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing

Abstract: Abstract. The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) is an eight-band (355, 380, 445, 470, 555, 660, 865, 935 nm) pushbroom camera, measuring polarization in the 470, 660, and 865 nm bands, mounted on a gimbal to acquire multiangular observations over a ±67° along-track range. The instrument has been flying aboard the NASA ER-2 high altitude aircraft since October 2010. AirMSPI employs a photoelastic modulator-based polarimetric imaging technique to enable accurate measurements of the degree … Show more

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Cited by 152 publications
(102 citation statements)
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“…The Chinese polarized camera (Directional Polarized Camera, DPC) has also been used for aerosol remote sensing. Additionally, the Airborne Multi-angle SpectroPolarimetric Imager (AirMSPI) and the algorithm applied to its measurements (Diner et al, 2013;Xu et al, 2017) have made numerous achievements. The space version of the DPC is carried on the GaoFen-5 platform and was launched in 2018. and Zheng et al (2019) evaluated the potential retrievals and their errors.…”
Section: Introductionmentioning
confidence: 99%
“…The Chinese polarized camera (Directional Polarized Camera, DPC) has also been used for aerosol remote sensing. Additionally, the Airborne Multi-angle SpectroPolarimetric Imager (AirMSPI) and the algorithm applied to its measurements (Diner et al, 2013;Xu et al, 2017) have made numerous achievements. The space version of the DPC is carried on the GaoFen-5 platform and was launched in 2018. and Zheng et al (2019) evaluated the potential retrievals and their errors.…”
Section: Introductionmentioning
confidence: 99%
“…Motivated by the development of a multiangle imaging polarimeter at JPL -the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) (Diner et al, 2013) -this paper describes the development of a coupled aerosol-ocean retrieval methodology. Our method (1) employs a simplified bio-optical model to obtain a reasonable estimate of nLw in the first retrieval step, followed by an empirical refinement in the subsequent step; (2) applies constraints on the spatial smoothness of aerosol and Chl loadings across neighboring image patches and spectral constraints on aerosol optical properties and on nLw across relevant bands to improve the convergence and stability of the algorithm; and (3) models and stores the RT fields in the aerosol/Rayleigh mixed layer, the pure Rayleigh-scattering layers, and the ocean medium separately, then couples them to obtain the radiative field at the sensor -thereby enhancing the Jacobian evaluations by reusing RT fields in the unperturbed layers.…”
Section: F Xu Et Al: Joint Retrieval Of Aerosol and Water-leaving Rmentioning
confidence: 99%
“…These have been incorporated into AirMSPI, as described in Diner et al (2013). AirMSPI is an ultraviolet-visible-near-infrared imager that has been flying aboard the NASA ER-2 high-altitude aircraft since October 2010.…”
Section: Validation Of Optimization Algorithmmentioning
confidence: 99%
“…Like MISR, a suite of MSPI cameras would view Earth at a variety of angles with an intrinsic pixel size of a few hundred metres, which for certain channels would be averaged up to about 1 km. At present, MSPI has ground-based (Diner et al, 2010) and airborne (Diner et al, 2013) versions with only VNIR (visible near infrared) spectral coverage. The latter, AirM-SPI development is currently entering a new phase.…”
Section: MI Characteristicsmentioning
confidence: 99%