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Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA

Diner, David J. and Boland, Stacey W. and Brauer, Michael and Bruegge, Carol and Burke, Kevin A. and Chipman, Russell and Di Girolamo, Larry and Garay, Michael J. and Hasheminassab, Sina and Hyer, Edward and Jerrett, Michael and Jovanovic, Veljko and Kalashnikova, Olga V. and Liu, Yang and Lyapustin, Alexei I. and Martin, Randall V. and Nastan, Abigail and Ostro, Bart D. and Ritz, Beate and Schwartz, Joel and Wang, Jun and Xu, Feng (2018) 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). Art. No. 042603. ISSN 1931-3195. doi:10.1117/1.jrs.12.042603.

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Inhalation 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 PM_(10), PM_(2.5), and speciated PM_(2.5). 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.

Item Type:Article
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URLURL TypeDescription
Diner, David J.0000-0001-8102-7616
Garay, Michael J.0000-0002-1374-5074
Kalashnikova, Olga V.0000-0002-1330-1529
Liu, Yang0000-0002-8155-9134
Xu, Feng0000-0001-5155-9478
Additional Information:© 2018 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. Paper 180287SS received Apr. 7, 2018; accepted for publication Jun. 26, 2018; published online Jul. 28, 2018. The authors acknowledge the participation of a multidisciplinary team in the MAIA investigation, including experts in system engineering, instrument design and fabrication, project and resource management, data systems, instrument operations, aerosol and cloud remote sensing, epidemiology, and public health. Specific mention is given to our collaborators Bert Brunekreef (Utrecht University), Sagnik Dey (IIT Delhi), Kembra Howdeshell (National Institute of Environmental Health Sciences), John Langstaff (EPA), Pius Lee (National Oceanic and Atmospheric Administration), and Fuyuen Yip (Centers for Disease Control and Prevention), as well as many local personnel in the various PTAs who will assist with various aspects of the project. This paper represents the current development status of the MAIA investigation. The decision to implement MAIA will not be finalized until NASA completes the National Environmental Policy Act (NEPA) process. This research is carried out, in part, at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration (NASA). The data in Fig. 1 were obtained from the NASA Langley Research Center Atmospheric Science Data Center. The authors declare that there are no conflicts of interest.
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Subject Keywords:particulate matter; aerosols; remote sensing; human health
Issue or Number:4
Record Number:CaltechAUTHORS:20190823-160034580
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Official Citation: David J. Diner, Stacey W. Boland, Michael Brauer, Carol Bruegge, Kevin A. Burke, Russell Chipman, Larry Di Girolamo, Michael J. Garay, Sina Hasheminassab, Edward Hyer, Michael Jerrett, Veljko Jovanovic, Olga V. Kalashnikova, Yang Liu, Alexei I. Lyapustin, Randall V. Martin, Abigail Nastan, Bart D. Ostro, Beate Ritz, Joel Schwartz, Jun Wang, and 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).
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98200
Deposited By: Tony Diaz
Deposited On:23 Aug 2019 23:13
Last Modified:20 Jan 2023 00:09

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