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

Abstract. 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 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.

[1]  Xin Jiang,et al.  Comparison of MISR aerosol optical thickness with AERONET measurements in Beijing metropolitan area , 2007 .

[2]  Bruce A. Wielicki,et al.  Integrating and Interpreting Aerosol Observations and Models within the PARAGON Framework. , 2004 .

[3]  Michael Lipsett,et al.  Long-Term Exposure to Constituents of Fine Particulate Air Pollution and Mortality: Results from the California Teachers Study , 2009, Environmental health perspectives.

[4]  Joseph Frostad,et al.  Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013. , 2016, Environmental science & technology.

[5]  Randal S. Martin,et al.  Ambient and laboratory evaluation of a low-cost particulate matter sensor. , 2017, Environmental pollution.

[6]  Bernard Pinty,et al.  Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging , 1998, IEEE Trans. Geosci. Remote. Sens..

[7]  Jochen Landgraf,et al.  Retrieval of aerosol properties over land surfaces: capabilities of multiple-viewing-angle intensity and polarization measurements. , 2007, Applied optics.

[8]  David J. Diner Application of the First and Second Generation Airborne Multiangle SpectroPolarimetric Imagers (AirMSPI and AirMSPI-2) to Cloud and Aerosol Remote Sensing , 2014 .

[9]  J. H. Belle,et al.  Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach. , 2017, Environmental science & technology.

[10]  Michael Brauer,et al.  Addressing Global Mortality from Ambient PM2.5. , 2015, Environmental science & technology.

[11]  Richard T Burnett,et al.  Particulate air pollution, social confounders, and mortality in small areas of an industrial city. , 2005, Social science & medicine.

[12]  Bernard Pinty,et al.  Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview , 1998, IEEE Trans. Geosci. Remote. Sens..

[13]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[14]  Division on Earth Research priorities for airborne particulate matter , 2013 .

[15]  Anthony B. Davis,et al.  Toward New Inferences about Cloud Structures from Multidirectional Measurements in the Oxygen A Band: Middle-of-Cloud Pressure and Cloud Geometrical Thickness from POLDER-3/PARASOL , 2010 .

[16]  R. Stott,et al.  The World Bank , 2008, Annals of tropical medicine and parasitology.

[17]  Mark Z. Jacobson,et al.  Probing into regional ozone and particulate matter pollution in the United States: 1. A 1 year CMAQ simulation and evaluation using surface and satellite data , 2009 .

[18]  Matthew L. Thomas,et al.  Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015 , 2017, The Lancet.

[19]  Petros Koutrakis,et al.  Prenatal Exposure to Fine Particulate Matter and Birth Weight: Variations by Particulate Constituents and Sources , 2010, Epidemiology.

[20]  Didier Tanré,et al.  Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations , 2010 .

[21]  M. Brauer,et al.  Risk of Nonaccidental and Cardiovascular Mortality in Relation to Long-term Exposure to Low Concentrations of Fine Particulate Matter: A Canadian National-Level Cohort Study , 2012, Environmental health perspectives.

[22]  Larry Di Girolamo,et al.  A Cloud Fraction versus View Angle Technique for Automatic In-Scene Evaluation of the MISR Cloud Mask , 2004 .

[23]  Alexei Lyapustin,et al.  Photopolarimetric Sensitivity to Black Carbon Content of Wildfire Smoke: Results From the 2016 ImPACT‐PM Field Campaign , 2018 .

[24]  P. Steerenberg,et al.  Targeting pathophysiological rhythms: prednisone chronotherapy shows sustained efficacy in rheumatoid arthritis. , 2010, Annals of the rheumatic diseases.

[25]  Thomas Lumley,et al.  Referent Selection in Case-Crossover Analyses of Acute Health Effects of Air Pollution , 2001, Epidemiology.

[26]  Larry Di Girolamo,et al.  A decade of change in aerosol properties over the Indian subcontinent , 2011 .

[27]  R. Martin,et al.  Fifteen-year global time series of satellite-derived fine particulate matter. , 2014, Environmental science & technology.

[28]  D. Jacob,et al.  Global modeling of tropospheric chemistry with assimilated meteorology : Model description and evaluation , 2001 .

[29]  A. Lyapustin,et al.  10-year spatial and temporal trends of PM2.5 concentrations in the southeastern US estimated using high-resolution satellite data , 2013, Atmospheric chemistry and physics.

[30]  Brian Cairns,et al.  Dual-photoelastic-modulator-based polarimetric imaging concept for aerosol remote sensing. , 2007, Applied optics.

[31]  Michael J. Garay,et al.  WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley , 2016 .

[32]  A. Peters,et al.  Particulate Matter Air Pollution and Cardiovascular Disease: An Update to the Scientific Statement From the American Heart Association , 2010, Circulation.

[33]  K. N. Dollman,et al.  - 1 , 1743 .

[34]  Larry Di Girolamo,et al.  Variability of outdoor fine particulate (PM2.5) concentration in the Indian Subcontinent: A remote sensing approach , 2012 .

[35]  J. Muller,et al.  The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces , 2005 .

[36]  D A Savitz,et al.  Relation between ambient air quality and selected birth defects, seven county study, Texas, 1997-2000. , 2005, American journal of epidemiology.

[37]  Brent N. Holben,et al.  Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS , 2012 .

[38]  Yujie Wang,et al.  Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm , 2011 .

[39]  F. Bréon,et al.  Remote sensing of aerosols by using polarized, directional and spectral measurements within the A-Train: the PARASOL mission , 2011 .

[40]  W. Menzel,et al.  Discriminating clear sky from clouds with MODIS , 1998 .

[41]  Yang Liu,et al.  Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling , 2014, Journal of Exposure Science and Environmental Epidemiology.

[42]  Robert Frouin,et al.  Estimating the altitude of aerosol plumes over the ocean from reflectance ratio measurements in the O2 A-band. , 2009 .

[43]  J. Schwartz,et al.  Incorporating local land use regression and satellite aerosol optical depth in a hybrid model of spatiotemporal PM2.5 exposures in the Mid-Atlantic states. , 2012, Environmental science & technology.

[44]  William L. Crosson,et al.  Estimating Ground-Level PM(sub 2.5) Concentrations in the Southeastern United States Using MAIAC AOD Retrievals and a Two-Stage Model , 2014 .

[45]  I. Laszlo,et al.  Improved cloud screening in MAIAC aerosol retrievals using spectral and spatial analysis , 2012 .

[46]  S. Mcclain,et al.  The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI): a new tool for aerosol and cloud remote sensing , 2013 .

[47]  O. V. Kalashnikova,et al.  The ability of multi-angle remote sensing observations to identify and distinguish mineral dust types : Part 1 . Optical models and retrievals of optically thick plumes , 2004 .

[48]  Kazuhiko Ito,et al.  Spatial and temporal estimation of air pollutants in New York City: exposure assignment for use in a birth outcomes study , 2013, Environmental Health.

[49]  Alexei Lyapustin,et al.  Fine Particulate Matter Predictions Using High Resolution Aerosol Optical Depth (AOD) Retrievals , 2014 .

[50]  Michael Brauer,et al.  Associations between fine particulate matter and mortality in the 2001 Canadian Census Health and Environment Cohort , 2017, Environmental research.

[51]  M. Brauer,et al.  Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter , 2014, Environmental health perspectives.

[52]  A. Just,et al.  A New Hybrid Spatio-Temporal Model For Estimating Daily Multi-Year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data. , 2014, Atmospheric environment.

[53]  Olga V. Kalashnikova,et al.  Coupled retrieval of aerosol properties and land surface reflection using the Airborne Multiangle SpectroPolarimetric Imager , 2017 .

[54]  L. Remer,et al.  The Collection 6 MODIS aerosol products over land and ocean , 2013 .

[55]  Kazuhiko Ito,et al.  PM source apportionment and health effects: 2. An investigation of intermethod variability in associations between source-apportioned fine particle mass and daily mortality in Washington, DC , 2006, Journal of Exposure Science and Environmental Epidemiology.

[56]  Alexander Kopp,et al.  Ambient Fine Particulate Matter and Mortality among Survivors of Myocardial Infarction: Population-Based Cohort Study , 2016, Environmental health perspectives.

[57]  Yujie Wang,et al.  Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States. , 2016, Environmental science & technology.

[58]  Stephen G. Warren,et al.  Diurnal Cycles of Cumulus, Cumulonimbus, Stratus, Stratocumulus, and Fog from Surface Observations over Land and Ocean , 2014 .

[59]  Hong Xian,et al.  Particulate Matter Air Pollution and the Risk of Incident CKD and Progression to ESRD. , 2017, Journal of the American Society of Nephrology : JASN.

[60]  Yang Liu,et al.  Estimating Particle Sulfate Concentrations Using MISR Retrieved Aerosol Properties , 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[61]  Itai Kloog,et al.  Long- and Short-Term Exposure to PM2.5 and Mortality: Using Novel Exposure Models , 2013, Epidemiology.

[62]  Yujie Wang,et al.  Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables , 2011 .

[63]  Scott L. Zeger,et al.  Spatial and Temporal Variation in PM2.5 Chemical Composition in the United States for Health Effects Studies , 2007, Environmental health perspectives.

[64]  Michael J. Garay,et al.  Characterization of Subgrid-Scale Variability in Particulate Matter with Respect to Satellite Aerosol Observations , 2018, Remote. Sens..

[65]  Derek Griffith,et al.  SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications , 2014 .

[66]  Yun-Chul Hong,et al.  Cytochrome P450IA1 polymorphisms along with PM(10) exposure contribute to the risk of birth weight reduction. , 2007, Reproductive toxicology.

[67]  Graham W. Bothwell,et al.  The Multi-angle Imaging SpectroRadiometer science data system, its products, tools, and performance , 2002, IEEE Trans. Geosci. Remote. Sens..

[68]  Michael J. Garay,et al.  Size-resolved particulate matter concentrations derived from 4.4 km-resolution size-fractionated Multi-angle Imaging SpectroRadiometer (MISR) aerosol optical depth over Southern California , 2017 .

[69]  Xin Jiang,et al.  A Hierarchical Bayesian Approach for Aerosol Retrieval Using MISR Data , 2011, 1107.3351.

[70]  P. Hopke,et al.  Fine Particle Sources and Cardiorespiratory Morbidity: An Application of Chemical Mass Balance and Factor Analytical Source-Apportionment Methods , 2008, Environmental health perspectives.

[71]  Barbara J. Gaitley,et al.  An analysis of global aerosol type as retrieved by MISR , 2015 .

[72]  Paul A. Solomon,et al.  U.S. National PM2.5 Chemical Speciation Monitoring Networks—CSN and IMPROVE: Description of networks , 2014, Journal of the Air & Waste Management Association.

[73]  Paul J. Villeneuve,et al.  Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada , 2013, Environmental health perspectives.

[74]  P. Paatero,et al.  A case-crossover analysis of out-of-hospital coronary deaths and air pollution in Rome, Italy. , 2005, American journal of respiratory and critical care medicine.

[75]  Michael J. Garay,et al.  MISR Dark Water aerosol retrievals: operational algorithm sensitivity to particle non-sphericity , 2013 .

[76]  Yang Liu,et al.  Validation of Multiangle Imaging Spectroradiometer (MISR) aerosol optical thickness measurements using Aerosol Robotic Network (AERONET) observations over the contiguous United States , 2004 .

[77]  Brian Cairns,et al.  Aerosol retrieval from multiangle, multispectral photopolarimetric measurements: importance of spectral range and angular resolution , 2015 .

[78]  F. Dominici,et al.  Emergency Admissions for Cardiovascular and Respiratory Diseases and the Chemical Composition of Fine Particle Air Pollution , 2009, Environmental health perspectives.

[79]  Petros Koutrakis,et al.  The Role of Particle Composition on the Association Between PM2.5 and Mortality , 2008, Epidemiology.

[80]  Beate Ritz,et al.  Ambient air pollution and adverse birth outcomes: methodologic issues in an emerging field. , 2008, Basic & clinical pharmacology & toxicology.

[81]  Hiren Jethva,et al.  Satellite-Based Evidence of Wavelength-Dependent Aerosol Absorption in Biomass Burning Smoke Inferred from Ozone Monitoring Instrument , 2011 .

[82]  L. Sheppard,et al.  Long-term exposure to air pollution and incidence of cardiovascular events in women. , 2007, The New England journal of medicine.

[83]  N. Gouveia,et al.  Association between ambient air pollution and birth weight in São Paulo, Brazil , 2003, Journal of epidemiology and community health.

[84]  David J. Diner,et al.  Retrieval of aerosol properties over land using MISR observations , 2009 .

[85]  Alessandra Scaburri,et al.  Atmospheric fine particulate matter and breast cancer mortality: a population-based cohort study , 2016, BMJ Open.

[86]  Gavin Pereira,et al.  The burden of lung cancer mortality attributable to fine particles in China. , 2017, The Science of the total environment.

[87]  M. Brauer,et al.  Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors. , 2016, Environmental science & technology.

[88]  Wenjun Ma,et al.  Consumption of fruit and vegetables might mitigate the adverse effects of ambient PM2.5 on lung function among adults , 2018, Environmental research.

[89]  Beat Schmid,et al.  Polarimetric remote sensing of aerosols over land , 2009 .

[90]  Yang Liu,et al.  Evaluation of a MISR-Based High-Resolution Aerosol Retrieval Method Using AERONET DRAGON Campaign Data , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[91]  Joel Schwartz,et al.  Chronic particulate exposure, mortality, and coronary heart disease in the nurses' health study. , 2008, American journal of epidemiology.

[92]  Brian Cairns,et al.  Polarimetric remote sensing of aerosols over land surfaces , 2009 .

[93]  Nadine Gobron,et al.  Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land , 2005 .

[94]  Peter Y.J. Zandveld,et al.  Air Pollution Exposure During Pregnancy, Ultrasound Measures of Fetal Growth, and Adverse Birth Outcomes: A Prospective Cohort Study , 2011, Environmental health perspectives.

[95]  Itai Kloog,et al.  Modelling daily PM2.5 concentrations at high spatio-temporal resolution across Switzerland. , 2018, Environmental pollution.

[96]  Klaus Mann,et al.  Chronic Residential Exposure to Particulate Matter Air Pollution and Systemic Inflammatory Markers , 2009, Environmental health perspectives.

[97]  Michael J. Garay,et al.  Estimating PM2.5 speciation concentrations using prototype 4.4 km-resolution MISR aerosol properties over Southern California , 2018, Atmospheric environment.

[98]  Jonathan I Levy,et al.  Factors influencing the spatial extent of mobile source air pollution impacts: a meta-analysis , 2007, BMC public health.

[99]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[100]  R. Burnett,et al.  Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. , 2002, JAMA.

[101]  Larry Di Girolamo,et al.  Selection of the automated thresholding algorithm for the Multi-angle Imaging SpectroRadiometer Radiometric Camera-by-Camera Cloud Mask over land , 2007 .

[102]  Rupa Basu,et al.  Air Pollution and Birth Weight Among Term Infants in California , 2005, Pediatrics.

[103]  Haidong Kan,et al.  A Case‐crossover Analysis of Air Pollution and Daily Mortality in Shanghai , 2003, Journal of occupational health.

[104]  Kazuhiko Ito,et al.  PM source apportionment and health effects. 3. Investigation of inter-method variations in associations between estimated source contributions of PM2.5 and daily mortality in Phoenix, AZ , 2006, Journal of Exposure Science and Environmental Epidemiology.

[105]  Annick Bricaud,et al.  The POLDER mission: instrument characteristics and scientific objectives , 1994, IEEE Trans. Geosci. Remote. Sens..

[106]  Ab Davis,et al.  First results from a dual photoelastic-modulator-based polarimetric camera. , 2010, Applied optics.

[107]  João Paulo Souza,et al.  Outdoor Air Pollution, Preterm Birth, and Low Birth Weight: Analysis of the World Health Organization Global Survey on Maternal and Perinatal Health , 2014, Environmental health perspectives.

[108]  M. Fraser Atmospheric Pollution: History, Science and Regulation , 2003 .

[109]  Damir Čemerin,et al.  IV , 2011 .

[110]  F. Gilliland,et al.  Ambient Air Pollution and Atherosclerosis in Los Angeles , 2004, Environmental health perspectives.

[111]  Michael J. Garay,et al.  Development and assessment of a higher-spatial-resolution (4.4 km) MISR aerosol optical depth product using AERONET-DRAGON data , 2017 .

[112]  David J. Diner,et al.  Comparison of MISR and AERONET aerosol optical depths over desert sites , 2003 .

[113]  Alexander Smirnov,et al.  Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network , 2010 .

[114]  Beate Ritz,et al.  Ambient air pollution and preterm birth in the environment and pregnancy outcomes study at the University of California, Los Angeles. , 2007, American journal of epidemiology.

[115]  R. Burnett,et al.  Spatial Analysis of Air Pollution and Mortality in Los Angeles , 2005, Epidemiology.

[116]  Sundar A. Christopher,et al.  Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program , 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[117]  Joel Schwartz,et al.  Measurement error caused by spatial misalignment in environmental epidemiology. , 2009, Biostatistics.