The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing

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...

Full description

Bibliographic Details
Main Authors: D. J. Diner, F. Xu, M. J. Garay, J. V. Martonchik, B. E. Rheingans, S. Geier, A. Davis, B. R. Hancock, V. M. Jovanovic, M. A. Bull, K. Capraro, R. A. Chipman, S. C. McClain
Format: Article
Language:English
Published: Copernicus Publications 2013-08-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/6/2007/2013/amt-6-2007-2013.pdf
_version_ 1811303261167157248
author D. J. Diner
F. Xu
M. J. Garay
J. V. Martonchik
B. E. Rheingans
S. Geier
A. Davis
B. R. Hancock
V. M. Jovanovic
M. A. Bull
K. Capraro
R. A. Chipman
S. C. McClain
author_facet D. J. Diner
F. Xu
M. J. Garay
J. V. Martonchik
B. E. Rheingans
S. Geier
A. Davis
B. R. Hancock
V. M. Jovanovic
M. A. Bull
K. Capraro
R. A. Chipman
S. C. McClain
author_sort D. J. Diner
collection DOAJ
description 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 and angle of linear polarization in addition to spectral intensity. A description of the AirMSPI instrument and ground data processing approach is presented. Example images of clear, hazy, and cloudy scenes over the Pacific Ocean and California land targets obtained during flights between 2010 and 2012 are shown, and quantitative interpretations of the data using vector radiative transfer theory and scene models are provided to highlight the instrument's capabilities for determining aerosol and cloud microphysical properties and cloud 3-D spatial distributions. Sensitivity to parameters such as aerosol particle size distribution, ocean surface wind speed and direction, cloud-top and cloud-base height, and cloud droplet size is discussed. AirMSPI represents a major step toward realization of the type of imaging polarimeter envisioned to fly on NASA's Aerosol-Cloud-Ecosystem (ACE) mission in the next decade.
first_indexed 2024-04-13T07:43:41Z
format Article
id doaj.art-6ac231ef546b4036a9e65a80e147781b
institution Directory Open Access Journal
issn 1867-1381
1867-8548
language English
last_indexed 2024-04-13T07:43:41Z
publishDate 2013-08-01
publisher Copernicus Publications
record_format Article
series Atmospheric Measurement Techniques
spelling doaj.art-6ac231ef546b4036a9e65a80e147781b2022-12-22T02:55:46ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482013-08-01682007202510.5194/amt-6-2007-2013The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensingD. J. DinerF. XuM. J. GarayJ. V. MartonchikB. E. RheingansS. GeierA. DavisB. R. HancockV. M. JovanovicM. A. BullK. CapraroR. A. ChipmanS. C. McClainThe 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 and angle of linear polarization in addition to spectral intensity. A description of the AirMSPI instrument and ground data processing approach is presented. Example images of clear, hazy, and cloudy scenes over the Pacific Ocean and California land targets obtained during flights between 2010 and 2012 are shown, and quantitative interpretations of the data using vector radiative transfer theory and scene models are provided to highlight the instrument's capabilities for determining aerosol and cloud microphysical properties and cloud 3-D spatial distributions. Sensitivity to parameters such as aerosol particle size distribution, ocean surface wind speed and direction, cloud-top and cloud-base height, and cloud droplet size is discussed. AirMSPI represents a major step toward realization of the type of imaging polarimeter envisioned to fly on NASA's Aerosol-Cloud-Ecosystem (ACE) mission in the next decade.http://www.atmos-meas-tech.net/6/2007/2013/amt-6-2007-2013.pdf
spellingShingle D. J. Diner
F. Xu
M. J. Garay
J. V. Martonchik
B. E. Rheingans
S. Geier
A. Davis
B. R. Hancock
V. M. Jovanovic
M. A. Bull
K. Capraro
R. A. Chipman
S. C. McClain
The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing
Atmospheric Measurement Techniques
title The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing
title_full The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing
title_fullStr The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing
title_full_unstemmed The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing
title_short The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing
title_sort airborne multiangle spectropolarimetric imager airmspi a new tool for aerosol and cloud remote sensing
url http://www.atmos-meas-tech.net/6/2007/2013/amt-6-2007-2013.pdf
work_keys_str_mv AT djdiner theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT fxu theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT mjgaray theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT jvmartonchik theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT berheingans theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT sgeier theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT adavis theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT brhancock theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT vmjovanovic theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT mabull theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT kcapraro theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT rachipman theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT scmcclain theairbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT djdiner airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT fxu airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT mjgaray airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT jvmartonchik airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT berheingans airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT sgeier airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT adavis airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT brhancock airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT vmjovanovic airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT mabull airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT kcapraro airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT rachipman airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing
AT scmcclain airbornemultianglespectropolarimetricimagerairmspianewtoolforaerosolandcloudremotesensing