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dc.contributor.authorDiner, David J.
dc.contributor.authorBoland, Stacey W.
dc.contributor.authorBrauer, Michael
dc.contributor.authorBruegge, Carol
dc.contributor.authorBurke, Kevin A.
dc.contributor.authorChipman, Russell
dc.contributor.authorDi Girolamo, Larry
dc.contributor.authorGaray, Michael J.
dc.contributor.authorHasheminassab, Sina
dc.contributor.authorHyer, Edward
dc.date.accessioned2018-12-03T23:16:47Z
dc.date.available2018-12-03T23:16:47Z
dc.date.issued2018-07-28
dc.identifier.citationDavid J. Diner, David J. Diner, Stacey W. Boland, Stacey W. Boland, Michael Brauer, Michael Brauer, Carol Bruegge, Carol Bruegge, Kevin A. Burke, Kevin A. Burke, Russell Chipman, Russell Chipman, Larry Di Girolamo, Larry Di Girolamo, Michael J. Garay, Michael J. Garay, Sina Hasheminassab, Sina Hasheminassab, Edward Hyer, Edward Hyer, Michael Jerrett, Michael Jerrett, Veljko Jovanovic, Veljko Jovanovic, Olga V. Kalashnikova, Olga V. Kalashnikova, Yang Liu, Yang Liu, Alexei I. Lyapustin, Alexei I. Lyapustin, Randall V. Martin, Randall V. Martin, Abigail Nastan, Abigail Nastan, Bart D. Ostro, Bart D. Ostro, Beate Ritz, Beate Ritz, Joel Schwartz, Joel Schwartz, Jun Wang, Jun Wang, Feng Xu, Feng Xu, } "Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA," Journal of Applied Remote Sensing 12(4), 042603 (28 July 2018). https://doi.org/10.1117/1.JRS.12.042603 . Submission: Received: 7 April 2018; Accepted: 26 June 2018en_US
dc.identifier.issn1931-3195
dc.identifier.doi10.1117/1.JRS.12.042603
dc.identifier.urihttp://hdl.handle.net/10150/631087
dc.description.abstractInhalation of airborne particulate matter (PM) is associated with a variety of adverse health outcomes. However, the relative toxicity of specific PM types-mixtures of particles of varying sizes, shapes, and chemical compositions-is not well understood. A major impediment has been the sparse distribution of surface sensors, especially those measuring speciated PM. Aerosol remote sensing from Earth orbit offers the opportunity to improve our understanding of the health risks associated with different particle types and sources. The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite has demonstrated the value of near-simultaneous observations of backscattered sunlight from multiple view angles for remote sensing of aerosol abundances and particle properties over land. The Multi-Angle Imager for Aerosols (MAIA) instrument, currently in development, improves on MISR's sensitivity to airborne particle composition by incorporating polarimetry and expanded spectral range. Spatiotemporal regression relationships generated using collocated surface monitor and chemical transport model data will be used to convert fractional aerosol optical depths retrieved from MAIA observations to near-surface PM10, PM2.5, and speciated PM2.5. Health scientists on the MAIA team will use the resulting exposure estimates over globally distributed target areas to investigate the association of particle species with population health effects. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.en_US
dc.language.isoenen_US
dc.publisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERSen_US
dc.relation.urlhttps://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-12/issue-04/042603/Advances-in-multiangle-satellite-remote-sensing-of-speciated-airborne-particulate/10.1117/1.JRS.12.042603.fullen_US
dc.rights© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.en_US
dc.subjectparticulate matteren_US
dc.subjectaerosolsen_US
dc.subjectremote sensingen_US
dc.subjecthuman healthen_US
dc.titleAdvances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIAen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Coll Opt Scien_US
dc.identifier.journalJOURNAL OF APPLIED REMOTE SENSINGen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleJournal of Applied Remote Sensing
dc.source.volume12
dc.source.issue04
dc.source.beginpage1
refterms.dateFOA2018-12-03T23:16:48Z


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