Sciences and Exploration Directorate

Alexei I Lyapustin

(RSCH AST, CLIMATE AND RADIATION STD)

 alexei.i.lyapustin@nasa.gov

 301.614.5998

Org Code: 613

NASA/GSFC
Mail Code: 613
Greenbelt, MD 20771

Employer: NASA

Brief Bio


Dr. Alexei Lyapustin is a Physical Research Scientist at the Climate and Radiation Laboratory. He has been at GSFC since 1997, initially with USRA (1997-1999), then with JCET and GEST UMBC (1999-2011), and as a civil servant since 2011. Alexei 's research interests focus on remote sensing of atmospheric aerosol and land surface environmental parameters (bidirectional reflectance and albedo; snow properties including grain size, albedo and sub-pixel snow fraction) from polar-orbiting and geostationary sensors, analysis of field campaign data, and 1D and 3D radiative transfer theory with gaseous absorption and polarization. Alexei is a member of MODIS and JPSS VIIRS Science Teams, as well as a member of GeoCAPE aerosol working group.

Dr. Lyapustin holds a M. Sc. in Physics from the Moscow State University, Russia, and Ph. D. degree in Aerospace Remote Sensing from Space Research Institute, Moscow, Russia. For more details please download his CV. Web of Science publications and citation metrics can be found here.


Current Projects


MODIS Terra and Aqua; S-NPP VIIRS; GeoCAPE

Positions/Employment


Physical Research Scientist

NASA GSFC, code 613 - NASA GSFC, Greenbelt, MD 20771

2011 - Present


Assistant/Associate Research Scientist

UMBC JCET/GEST - Baltimore, MD

1999 - 2011


Research Fellow

Universities Space Research Association (USRA) - Greenbelt, MD

1997 - 1999


Research Scientist

Institute of Physics, Rostov-on-Don State University - Rostov-on-Don, Russia

1991 - 1996

Education


1991 Ph.D. in Aerospace Remote Sensing, Space Research Institute, Moscow, Russia.
1987 MS/BS in Physics, Moscow State University, Physics Department.

Awards


2005 NASA Space Act Award for development of code SHARM;
2007 NASA Hydrospheric and Biospheric Laboratory Peer Award for development of algorithm MAIAC;

Publications


Refereed

Román, M. O., C. Justice, I. Paynter, et al. P. B. Boucher, S. Devadiga, A. Endsley, A. Erb, M. Friedl, H. Gao, L. Giglio, J. M. Gray, D. K. Hall, G. Hulley, J. Kimball, Y. Knyazikhin, A. I. Lyapustin, R. B. Myneni, P. Noojipady, J. Pu, G. Riggs, S. Sarkar, C. Schaaf, D. Shah, K. H. Tran, E. F. Vermote, D. Wang, Z. Wang, A. Wu, Y. Ye, Y. Shen, S. Zhang, S. Zhang, X. Zhang, M. Zhao, C. C. Davidson, and R. E. Wolfe. 2024. Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products Remote Sensing of Environment 302 113963 [10.1016/j.rse.2023.113963]

Choi, M., A. Lyapustin, Y. Wang, et al. C. J. Tucker, M. N. Khan, F. Policelli, C. S. Neigh, and A. A. Hall. 2024. Calibration of Maxar Constellation over Libya-4 Site using MAIAC Technique IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1-11 [10.1109/jstars.2024.3367250]

Radeloff, V. C., D. P. Roy, M. A. Wulder, et al. M. Anderson, B. Cook, C. J. Crawford, M. Friedl, F. Gao, N. Gorelick, M. Hansen, S. Healey, P. Hostert, G. Hulley, J. L. Huntington, D. M. Johnson, C. Neigh, A. Lyapustin, L. Lymburner, N. Pahlevan, J.-F. Pekel, T. A. Scambos, C. Schaaf, P. Strobl, C. E. Woodcock, H. K. Zhang, and Z. Zhu. 2024. Need and vision for global medium-resolution Landsat and Sentinel-2 data products Remote Sensing of Environment 300 113918 [10.1016/j.rse.2023.113918]

Korkin, S., and A. Lyapustin. 2023. Radiative interaction of atmosphere and surface: Write-up with elements of code Journal of Quantitative Spectroscopy and Radiative Transfer 309 108663 [10.1016/j.jqsrt.2023.108663]

Hammer, M. S., A. van Donkelaar, L. Bindle, et al. A. M. Sayer, J. Lee, N. C. Hsu, R. C. Levy, V. Sawyer, M. J. Garay, O. V. Kalashnikova, R. A. Kahn, A. Lyapustin, and R. V. Martin. 2023. Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates Remote Sensing of Environment 294 113624 [10.1016/j.rse.2023.113624]

Wulder, M. A., D. P. Roy, V. C. Radeloff, et al. T. R. Loveland, M. C. Anderson, D. M. Johnson, S. Healey, Z. Zhu, T. A. Scambos, N. Pahlevan, M. Hansen, N. Gorelick, C. J. Crawford, J. G. Masek, T. Hermosilla, J. C. White, A. S. Belward, C. Schaaf, C. E. Woodcock, J. L. Huntington, L. Lymburner, P. Hostert, F. Gao, A. Lyapustin, J.-F. Pekel, P. Strobl, and B. D. Cook. 2022. Fifty years of Landsat science and impacts Remote Sensing of Environment 280 113195 [10.1016/j.rse.2022.113195]

Korkin, S., E.-S. Yang, R. Spurr, et al. C. Emde, P. Zhai, N. Krotkov, A. Vasilkov, and A. Lyapustin. 2022. Numerical Results for Polarized Light Scattering in a Spherical Atmosphere Journal of Quantitative Spectroscopy and Radiative Transfer 287 108194 [10.1016/j.jqsrt.2022.108194]

Go, S., A. Lyapustin, G. L. Schuster, et al. M. Choi, P. Ginoux, M. Chin, O. Kalashnikova, O. Dubovik, J. Kim, A. da Silva, B. Holben, and J. S. Reid. 2022. Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations Atmospheric Chemistry and Physics 22 (2): 1395-1423 [10.5194/acp-22-1395-2022]

Lyapustin, A., F. Zhao, and Y. Wang. 2021. A Comparison of Multi-Angle Implementation of Atmospheric Correction and MOD09 Daily Surface Reflectance Products From MODIS Frontiers in Remote Sensing 2 [10.3389/frsen.2021.712093]

van Donkelaar, A., M. S. Hammer, L. Bindle, et al. M. Brauer, J. R. Brook, M. J. Garay, N. C. Hsu, O. V. Kalashnikova, R. A. Kahn, C. Lee, R. C. Levy, A. Lyapustin, A. M. Sayer, and R. V. Martin. 2021. Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology [10.1021/acs.est.1c05309]

Korkin, S., A. Sayer, A. Ibrahim, and A. Lyapustin. 2021. A practical guide to writing a radiative transfer code Computer Physics Communications 271 108198 [10.1016/j.cpc.2021.108198]

Falah, S., A. Mhawish, M. Sorek-Hamer, et al. A. I. Lyapustin, I. Kloog, T. Banerjee, F. Kizel, and D. M. Broday. 2021. Impact of environmental attributes on the uncertainty in MAIAC/MODIS AOD retrievals: A comparative analysis Atmospheric Environment 262 118659 [10.1016/j.atmosenv.2021.118659]

Lyapustin, A., Y. Wang, S. Go, et al. M. Choi, S. Korkin, D. Huang, Y. Knyazikhin, K. Blank, and A. Marshak. 2021. Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm Frontiers in Remote Sensing 2 [10.3389/frsen.2021.748362]

Marshak, A., A. Ackerman, A. Da Silva, et al. T. Eck, B. Holben, R. Kahn, R. Kleidman, K. Knobelspiesse, R. C. Levy, A. Lyapustin, L. Oreopoulos, L. Remer, O. Torres, T. Varnai, G. Wen, and J. Yorks. 2021. Aerosol properties in cloudy environments from remote sensing observations: a review of the current state of knowledge Bulletin of the American Meteorological Society 1-57 [10.1175/bams-d-20-0225.1]

Hammer, M. S., A. van Donkelaar, R. V. Martin, et al. E. E. McDuffie, A. Lyapustin, A. M. Sayer, N. C. Hsu, R. C. Levy, M. J. Garay, O. V. Kalashnikova, and R. A. Kahn. 2021. Effects of COVID-19 lockdowns on fine particulate matter concentrations Science Advances 7 (26): eabg7670 [10.1126/sciadv.abg7670]

Loría‐Salazar, S. M., A. M. Sayer, J. Barnes, et al. J. Huang, C. Flynn, N. Lareau, J. Lee, A. Lyapustin, J. Redemann, E. J. Welton, J. L. Wilkins, and H. A. Holmes. 2021. Evaluation of Novel NASA Moderate Resolution Imaging Spectroradiometer and Visible Infrared Imaging Radiometer Suite Aerosol Products and Assessment of Smoke Height Boundary Layer Ratio During Extreme Smoke Events in the Western USA Journal of Geophysical Research: Atmospheres 126 (11): [10.1029/2020jd034180]

Lyapustin, A., S. Go, S. Korkin, et al. Y. Wang, O. Torres, H. Jethva, and A. Marshak. 2021. Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC Frontiers in Remote Sensing 2 [10.3389/frsen.2021.645794]

Schutgens, N., A. M. Sayer, A. Heckel, et al. C. Hsu, H. Jethva, G. de Leeuw, P. J. Leonard, R. C. Levy, A. Lipponen, A. Lyapustin, P. North, T. Popp, C. Poulsen, V. Sawyer, L. Sogacheva, G. Thomas, O. Torres, Y. Wang, S. Kinne, M. Schulz, and P. Stier. 2020. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation Atmospheric Chemistry and Physics 20 (21): 12431-12457 [10.5194/acp-20-12431-2020]

Just, A. C., K. B. Arfer, J. Rush, et al. M. Dorman, A. Shtein, A. Lyapustin, and I. Kloog. 2020. Advancing methodologies for applying machine learning and evaluating spatiotemporal models of fine particulate matter (PM2.5) using satellite data over large regions Atmospheric Environment 239 117649 [10.1016/j.atmosenv.2020.117649]

Korkin, S., E.-S. Yang, R. Spurr, et al. C. Emde, N. Krotkov, A. Vasilkov, D. Haffner, J. Mok, and A. Lyapustin. 2020. Revised and extended benchmark results for Rayleigh scattering of sunlight in spherical atmospheres Journal of Quantitative Spectroscopy and Radiative Transfer 254 107181 [10.1016/j.jqsrt.2020.107181]

Ploton, P., F. Mortier, M. Réjou-Méchain, et al. N. Barbier, N. Picard, V. Rossi, C. Dormann, G. Cornu, G. Viennois, N. Bayol, A. Lyapustin, S. Gourlet-Fleury, and R. Pélissier. 2020. Spatial validation reveals poor predictive performance of large-scale ecological mapping models Nature Communications 11 (1): 4540 [10.1038/s41467-020-18321-y]

Just, A. C., Y. Liu, M. Sorek-Hamer, et al. J. Rush, M. Dorman, R. Chatfield, Y. Wang, A. Lyapustin, and I. Kloog. 2020. Gradient boosting machine learning to improve satellite-derived column water vapor measurement error Atmospheric Measurement Techniques 13 (9): 4669-4681 [10.5194/amt-13-4669-2020]

Tran, N. N., A. Huete, H. Nguyen, et al. I. Grant, T. Miura, X. Ma, A. Lyapustin, Y. Wang, and E. Ebert. 2020. Seasonal Comparisons of Himawari-8 AHI and MODIS Vegetation Indices over Latitudinal Australian Grassland Sites Remote Sensing 12 (15): 2494 [10.3390/rs12152494]

Mhawish, A., T. Banerjee, M. Sorek-Hamer, et al. M. Bilal, A. I. Lyapustin, R. Chatfield, and D. M. Broday. 2020. Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables Environmental Science & Technology 54 (13): 7891-7900 [10.1021/acs.est.0c01769]

Hammer, M. S., A. van Donkelaar, C. Li, et al. A. Lyapustin, A. M. Sayer, N. C. Hsu, R. C. Levy, M. J. Garay, O. V. Kalashnikova, R. A. Kahn, M. Brauer, J. S. Apte, D. K. Henze, L. Zhang, Q. Zhang, B. Ford, J. R. Pierce, and R. V. Martin. 2020. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) Environmental Science & Technology 54 (13): 7879-7890 [10.1021/acs.est.0c01764]

Chatfield, R. B., M. Sorek-Hamer, R. F. Esswein, and A. Lyapustin. 2020. Satellite mapping of PM<sub>2.5</sub> episodes in the wintertime San Joaquin Valley: a “static” model using column water vapor Atmospheric Chemistry and Physics 20 (7): 4379-4397 [10.5194/acp-20-4379-2020]

Wei, J., Z. Li, M. Cribb, et al. W. Huang, W. Xue, L. Sun, J. Guo, Y. Peng, J. Li, A. Lyapustin, L. Liu, H. Wu, and Y. Song. 2020. Improved 1 km resolution PM<sub>2.5</sub> estimates across China using enhanced space–time extremely randomized trees Atmospheric Chemistry and Physics 20 (6): 3273-3289 [10.5194/acp-20-3273-2020]

Danesh Yazdi, M., Z. Kuang, K. Dimakopoulou, et al. B. Barratt, E. Suel, H. Amini, A. Lyapustin, K. Katsouyanni, and J. Schwartz. 2020. Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods Remote Sensing 12 (6): 914 [10.3390/rs12060914]

Sogacheva, L., T. Popp, A. M. Sayer, et al. O. Dubovik, M. J. Garay, A. Heckel, N. C. Hsu, H. Jethva, R. A. Kahn, P. Kolmonen, M. Kosmale, G. de Leeuw, R. C. Levy, P. Litvinov, A. Lyapustin, P. North, O. Torres, and A. Arola. 2020. Merging regional and global aerosol optical depth records from major available satellite products Atmospheric Chemistry and Physics 20 (4): 2031-2056 [10.5194/acp-20-2031-2020]

Zhdanova, E. Y., N. Y. Chubarova, and A. I. Lyapustin. 2020. Assessment of urban aerosol pollution over the Moscow megacity by the MAIAC aerosol product Atmospheric Measurement Techniques 13 (2): 877-891 [10.5194/amt-13-877-2020]

Di, Q., H. Amini, L. Shi, et al. I. Kloog, R. Silvern, J. Kelly, M. B. Sabath, C. Choirat, P. Koutrakis, A. Lyapustin, Y. Wang, L. J. Mickley, and J. Schwartz. 2019. Assessing NO2 Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging Environmental Science & Technology 54 (3): 1372-1384 [10.1021/acs.est.9b03358]

Neigh, C. S., C. J. Tucker, M. L. Carroll, et al. P. M. Montesano, D. A. Slayback, M. R. Wooten, A. I. Lyapustin, D. E. Shean, O. Alexandrov, and M. J. Macander. 2019. An API for Spaceborne Sub-Meter Resolution Products for Earth Science IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium [10.1109/igarss.2019.8898358]

Jethva, H., O. Torres, R. D. Field, et al. A. Lyapustin, R. Gautam, and V. Kayetha. 2019. Connecting Crop Productivity, Residue Fires, and Air Quality over Northern India Scientific Reports 9 (1): 16594 [10.1038/s41598-019-52799-x]

Lyapustin, A., Y. Wang, S. Korkin, R. Kahn, and D. Winker. 2019. MAIAC Thermal Technique for Smoke Injection Height From MODIS IEEE Geoscience and Remote Sensing Letters 1-5; [10.1109/lgrs.2019.2936332]

Stafoggia, M., T. Bellander, S. Bucci, et al. M. Davoli, K. de Hoogh, F. de' Donato, C. Gariazzo, A. Lyapustin, P. Michelozzi, M. Renzi, M. Scortichini, A. Shtein, G. Viegi, I. Kloog, and J. Schwartz. 2019. Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model Environment International 124 170-179 [10.1016/j.envint.2019.01.016]

Karagulian, F., M. Temimi, D. Ghebreyesus, et al. M. Weston, N. K. Kondapalli, V. K. Valappil, A. Aldababesh, A. I. Lyapustin, N. Chaouch, F. Al Hammadi, and A. Al Abdooli. 2019. Analysis of a severe dust storm and its impact on air quality conditions using WRF-Chem modelling, satellite imagery, and ground observations Air Quality, Atmosphere & Health 12 (4): 453-470 [10.1007/s11869-019-00674-z]

Mhawish, A., T. Banerjee, M. Sorek-Hamer, et al. A. I. Lyapustin, D. M. Broday, and R. Chatfield. 2019. Comparison and evaluation of MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol product over South Asia Remote Sensing of Environment 224 12-28 [10.1016/j.rse.2019.01.033]

Giles, D. M., A. Sinyuk, M. G. Sorokin, et al. J. S. Schafer, A. Smirnov, I. Slutsker, T. F. Eck, B. N. Holben, J. R. Lewis, J. R. Campbell, E. J. Welton, S. V. Korkin, and A. I. Lyapustin. 2019. Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements Atmospheric Measurement Techniques 12 (1): 169-209 [10.5194/amt-12-169-2019]

Jin, X., A. M. Fiore, G. Curci, et al. A. Lyapustin, K. Civerolo, M. Ku, A. van Donkelaar, and R. V. Martin. 2019. Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth Atmospheric Chemistry and Physics 19 (1): 295-313 [10.5194/acp-19-295-2019]

Beloconi, A., N. Chrysoulakis, A. Lyapustin, J. Utzinger, and P. Vounatsou. 2018. Bayesian geostatistical modelling of PM10 and PM2.5 surface level concentrations in Europe using high-resolution satellite-derived products Environment International 121 57-70 [10.1016/j.envint.2018.08.041]

Della Ceca, L. S., M. F. García Ferreyra, A. Lyapustin, et al. A. Chudnovsky, L. Otero, H. Carreras, and F. Barnaba. 2018. Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data ISPRS Journal of Photogrammetry and Remote Sensing 145 250-267 [10.1016/j.isprsjprs.2018.08.016]

Lyapustin, A., Y. Wang, S. Korkin, and D. Huang. 2018. MODIS Collection 6 MAIAC algorithm Atmospheric Measurement Techniques 11 (10): 5741-5765 [10.5194/amt-11-5741-2018]

Shtein, A., A. Karnieli, I. Katra, et al. R. Raz, I. Levy, A. Lyapustin, M. Dorman, D. M. Broday, and I. Kloog. 2018. Estimating daily and intra-daily PM10 and PM2.5 in Israel using a spatio-temporal hybrid modeling approach Atmospheric Environment 191 142-152 [10.1016/j.atmosenv.2018.08.002]

Marshak, A., J. Herman, A. Szabo, et al. K. Blank, S. Carn, A. Cede, I. Geogdzhayev, D. Huang, L.-K. Huang, Y. Knyazikhin, M. Kowalewski, N. Krotkov, A. Lyapustin, R. McPeters, K. Meyer, O. Torres, and Y. Yang. 2018. Earth Observations from DSCOVR/EPIC Instrument Bulletin of the American Meteorological Society BAMS-D-17-0223.1 [10.1175/bams-d-17-0223.1]

Joiner, J., Y. Yoshida, Y. Zhang, et al. G. Duveiller, M. Jung, A. Lyapustin, Y. Wang, and C. Tucker. 2018. Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data Remote Sensing 10 (9): 1346 [10.3390/rs10091346]

Diner, D. J., S. W. Boland, M. Brauer, et al. C. Bruegge, K. A. Burke, R. Chipman, L. Di Girolamo, M. J. Garay, S. Hasheminassab, E. Hyer, M. Jerrett, V. Jovanovic, O. V. Kalashnikova, Y. Liu, A. I. Lyapustin, R. V. Martin, A. Nastan, B. D. Ostro, B. Ritz, J. Schwartz, J. Wang, and F. Xu. 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 (04): 1 [10.1117/1.jrs.12.042603]

Levy, R. C., S. Mattoo, V. Sawyer, et al. Y. Shi, P. R. Colarco, A. I. Lyapustin, Y. Wang, and L. A. Remer. 2018. Exploring systematic offsets between aerosol products from the two MODIS sensors Atmospheric Measurement Techniques 11 4073-4092 [https://doi.org/10.5194/amt-11-4073-2018]

Cooper, M. J., R. V. Martin, A. I. Lyapustin, and C. A. McLinden. 2018. Assessing snow extent data sets over North America to inform and improve trace gas retrievals from solar backscatter Atmospheric Measurement Techniques 11 (5): 2983-2994 [10.5194/amt-11-2983-2018]

Just, A., M. De Carli, A. Shtein, et al. M. Dorman, A. Lyapustin, and I. Kloog. 2018. Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM2.5 in the Northeastern USA Remote Sensing 10 (5): 803 [10.3390/rs10050803]

Kalashnikova, O. V., M. J. Garay, K. H. Bates, et al. C. M. Kenseth, W. Kong, C. D. Cappa, A. I. Lyapustin, H. H. Jonsson, F. C. Seidel, F. Xu, D. J. Diner, and J. H. Seinfeld. 2018. Photopolarimetric Sensitivity to Black Carbon Content of Wildfire Smoke: Results From the 2016 ImPACT-PM Field Campaign Journal of Geophysical Research: Atmospheres 123 (10): 5376-5396 [10.1029/2017jd028032]

Martins, V. S., E. M. Novo, A. Lyapustin, et al. L. E. Aragão, S. R. Freitas, and C. C. Barbosa. 2018. Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000–2015): Insights for remote sensing and climate analysis ISPRS Journal of Photogrammetry and Remote Sensing 145 (Part B): 309-327 [10.1016/j.isprsjprs.2018.05.013]

Eck, T. F., B. N. Holben, J. S. Reid, et al. P. Xian, D. M. Giles, A. Sinyuk, A. Smirnov, J. S. Schafer, I. Slutsker, J. Kim, J.-H. Koo, M. Choi, K. C. Kim, I. Sano, A. Arola, A. M. Sayer, R. C. Levy, L. A. Munchak, N. T. O’Neill, A. Lyapustin, N. C. Hsu, C. A. Randles, A. M. Da Silva, V. Buchard, R. C. Govindaraju, E. Hyer, J. H. Crawford, P. Wang, and X. Xia. 2018. Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing Journal of Geophysical Research: Atmospheres [10.1029/2018JD028313]

Jethva, H., D. Chand, O. Torres, et al. P. Gupta, A. Lyapustin, and F. Patadia. 2018. Agricultural Burning and Air Quality over Northern India: A Synergistic Analysis using NASA’s A-train Satellite Data and Ground Measurements Aerosol and Air Quality Research 18 (7): 1756-1773 [10.4209/aaqr.2017.12.0583]

Martins, V. S., A. Lyapustin, L. A. de Carvalho, C. C. Barbosa, and E. M. Novo. 2017. Validation of high-resolution MAIAC aerosol product over South America Journal of Geophysical Research: Atmospheres 122 [10.1002/2016JD026301]

Sever, L., P. Alpert, A. Lyapustin, Y. Wang, and A. Chudnovsky. 2017. An example of aerosol pattern variability over bright surface using high resolution MODIS MAIAC: The eastern and western areas of the Dead Sea and environs Atmospheric Environment 165 359-369 [10.1016/j.atmosenv.2017.06.047]

Korkin, S., A. Lyapustin, A. Sinyuk, B. Holben, and A. Kokhanovsky. 2017. Vector radiative transfer code SORD: Performance analysis and quick start guide Journal of Quantitative Spectroscopy and Radiative Transfer 200 295-310 [10.1016/j.jqsrt.2017.04.035]

Hilker, T., L. S. Galvão, L. E. Aragão, et al. Y. M. de Moura, C. H. do Amaral, A. I. Lyapustin, J. Wu, L. P. Albert, M. J. Ferreira, L. O. Anderson, V. A. dos Santos, N. Prohaska, E. Tribuzy, J. V. Barbosa Ceron, S. R. Saleska, Y. Wang, J. F. de Carvalho Gonçalves, R. C. de Oliveira Junior, J. V. Cardoso Rodrigues, and M. N. Garcia. 2017. Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model International Journal of Applied Earth Observation and Geoinformation 58 278-287 [10.1016/j.jag.2017.01.014]

Stafoggia, M., J. Schwartz, C. Badaloni, et al. T. Bellander, E. Alessandrini, G. Cattani, F. de' Donato, A. Gaeta, G. Leone, A. Lyapustin, M. Sorek-Hamer, K. de Hoogh, Q. Di, F. Forastiere, and I. Kloog. 2017. Estimation of daily PM10 concentrations in Italy (2006–2012) using finely resolved satellite data, land use variables and meteorology Environment International 99 234-244 [10.1016/j.envint.2016.11.024]

de Sousa, C., T. Hilker, R. Waring, Y. de Moura, and A. Lyapustin. 2017. Progress in Remote Sensing of Photosynthetic Activity over the Amazon Basin Remote Sensing 9 (1): 48 [10.3390/rs9010048]

Lyapustin, A., N. Coops, F. Hall, et al. C. Tucker, P. Sellers, L. Galvão, L. Aragão, L. Anderson, C. Nichol, and R. Waring. 2016. In Memorium: Thomas Hilker Remote Sensing 8 (10): 853 [10.3390/rs8100853]

Moura, Y. M., T. Hilker, F. G. Gonçalves, et al. L. S. Galvão, J. R. dos Santos, A. Lyapustin, E. E. Maeda, and C. V. de Jesus Silva. 2016. Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations International Journal of Applied Earth Observation and Geoinformation 52 580-590 [10.1016/j.jag.2016.07.017]

Maeda, E. E., Y. M. Moura, F. Wagner, et al. T. Hilker, A. I. Lyapustin, Y. Wang, J. Chave, M. Mõttus, L. E. Aragão, and Y. Shimabukuro. 2016. Consistency of vegetation index seasonality across the Amazon rainforest International Journal of Applied Earth Observation and Geoinformation 52 42-53 [10.1016/j.jag.2016.05.005]

Sorek-Hamer, M., D. M. Broday, R. Chatfield, et al. R. Esswein, M. Stafoggia, J. Lepeule, A. Lyapustin, and I. Kloog. 2016. Monthly analysis of PM ratio characteristics and its relation to AOD Journal of the Air & Waste Management Association 67 (1): 27-38 [10.1080/10962247.2016.1208121]

Arvani, B., R. B. Pierce, A. I. Lyapustin, et al. Y. Wang, G. Ghermandi, and S. Teggi. 2016. Seasonal monitoring and estimation of regional aerosol distribution over Po valley, northern Italy, using a high-resolution MAIAC product Atmospheric Environment 141 106-121 [10.1016/j.atmosenv.2016.06.037]

Lee, M., I. Kloog, A. Chudnovsky, et al. A. I. Lyapustin, Y. Wang, S. Melly, B. Couli, P. Koutrakis, and J. Schwartz. 2016. Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003–2011 Journal of Exposure Science and Environmental Epidemiology 26 377-384 [10.1038/jes.2015.41]

Korkin, S., A. Lyapustin, A. Sinyuk, and B. Holben. 2016. A new code SORD for simulation of polarized light scattering in the Earth atmosphere Polarization: Measurement, Analysis, and Remote Sensing XII [10.1117/12.2223423]

Di, Q., I. Kloog, P. Koutrakis, et al. A. Lyapustin, Y. Wang, and J. Schwartz. 2016. Assessing PM2.5Exposures with High Spatiotemporal Resolution across the Continental United States Environmental Science & Technology 50 (9): 4712-4721 [10.1021/acs.est.5b06121]

Bi, J., R. Myneni, A. Lyapustin, et al. Y. Wang, T. Park, C. Chi, K. Yan, and Y. Knyazikhin. 2016. Amazon Forests’ Response to Droughts: A Perspective from the MAIAC Product Remote Sensing 8 (5): 356 [10.3390/rs8040356]

Alden, C. B., J. B. Miller, L. V. Gatti, et al. M. M. Gloor, K. Guan, A. M. Michalak, I. T. van der Laan-Luijkx, D. Touma, A. Andrews, L. S. Basso, C. S. Correia, L. G. Domingues, J. Joiner, M. C. Krol, A. I. Lyapustin, W. Peters, Y. P. Shiga, K. Thoning, I. R. van der Velde, T. T. van Leeuwen, V. Yadav, and N. S. Diffenbaugh. 2016. Regional atmospheric CO2 inversion reveals seasonal and geographic differences in Amazon net biome exchange Global Change Biology 22 (10): 3427-3443 [10.1111/gcb.13305]

van Donkelaar, A., R. V. Martin, M. Brauer, et al. N. C. Hsu, R. A. Kahn, R. C. Levy, A. Lyapustin, A. M. Sayer, and D. M. Winker. 2016. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors Environ. Sci. Technol. 50 (7): 3762-3772 [10.1021/acs.est.5b05833]

de Moura, Y. M., T. Hilker, A. I. Lyapustin, et al. L. S. Galvão, J. R. dos Santos, L. O. Anderson, C. H. de Sousa, and E. Arai. 2015. Seasonality and drought effects of Amazonian forests observed from multi-angle satellite data Remote Sensing of Environment 171 278-290 [10.1016/j.rse.2015.10.015]

Kloog, I., M. Sorek-Hamer, A. I. Lyapustin, et al. B. Couli, Y. Wang, A. C. Just, J. Schwartz, and D. M. Broday. 2015. Estimating daily PM2.5 and PM10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data Atmospheric Environment 122 409–416 [10.1016/j.atmosenv.2015.10.004]

Hilker, T., A. I. Lyapustin, F. G. Hall, et al. R. Myneni, Y. Knyazikhin, Y. Wang, C. J. Tucker, and P. J. Sellers. 2015. On the measurability of change in Amazon vegetation from MODIS Remote Sensing of Environment 166 233–242 [10.1016/j.rse.2015.05.020]

Yoshida, Y., J. Joiner, C. J. Tucker, et al. J. Berry, J. E. Lee, G. K. Walker, R. H. Reichle, R. D. Koster, A. I. Lyapustin, and Y. Wang. 2015. The 2010 Russian drought impact on satellite measurements of solar-induced chlorophyll fluorescence: Insights from modeling and comparisons with parameters derived from satellite reflectances Remote Sensing of Environment 166 163–177 [10.1016/j.rse.2015.06.008]

Just, A. C., R. O. Wright, J. Schwartz, et al. B. A. Coull, A. A. Baccarelli, M. M. Tellez-Rojo, E. Moody, Y. Wang, A. I. Lyapustin, and I. Kloog. 2015. Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City Environ. Sci. Technol. 49 (14): 8576–8584 [10.1021/acs.est.5b00859]

Bi, J., Y. Knyazikhin, S. Choi, et al. T. Park, J. Barichivich, P. Ciais, R. Fu, S. Ganguly, F. G. Hall, T. Hilker, A. Huete, M. Jones, J. Kimball, A. I. Lyapustin, M. Mõttus, R. R. Nemani, S. Piao, B. Poulter, S. R. Saleska, S. S. Saatchi, L. Xu, L. Zhou, and R. B. Myneni. 2015. Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests Environmental Research Letters 10 (6): 064014 [10.1088/1748-9326/10/6/064014]

Emde, C., V. Barlakas, C.-E. Cornet, et al. K. F. Evans, S. V. Korkin, Y. Ota, L. C. Labonnote, A. I. Lyapustin, A. Macke, B. Mayer, and M. Wendisch. 2015. IPRT polarized radiative transfer model intercomparison project - phase A J. Quant. Spect. Rad. Trans 164 8-36 [10.1016/j.jqsrt.2015.05.007]

Guan, K., M. Pan, H. Li, et al. A. Wolf, J. Wu, D. Medvigy, K. K. Caylor, J. Sheffield, E. F. Wood, Y. Malhi, M. Liang, J. S. Kimball, S. R. Saleska, J. Berry, J. Joiner, and A. I. Lyapustin. 2015. Photosynthetic seasonality of global tropical forests constrained by hydroclimate Nature Geoscience 8 284–289 [10.1038/ngeo2382]

Zhang, Q., Y.-B. Cheng, A. I. Lyapustin, et al. Y. Wang, X. Zhang, A. Suyker, S. Verma, Y. Shuai, and E. M. Middleton. 2015. Estimation of crop gross primary production (GPP): II. Do scaled MODIS vegetation indices improve performance? Agricultural and Forest Meteorology 200 1-8 [10.1016/j.agrformet.2014.09.003]

Hu, X., L. A. Waller, A. I. Lyapustin, Y. Wang, and Y. Liu. 2014. Improving satellite-driven PM 2.5 models with Moderate Rsolution Imaging Spectroradiometer fire counts in the southeastern U.S J. Geophys. Res., Atmos 119 11,375-11,386 [10.1002/2014JD021920]

Hilker, T., A. I. Lyapustin, C. J. Tucker, et al. F. G. Hall, R. B. Myneni, Y. Wang, J. Bi, Y. Mendes de Moura, and P. J. Sellers. 2014. Vegetation dynamics and rainfall sensitivity of the Amazon PNAS 111 (45): 16041-16046 [10.1073/pnas.1404870111]

Kloog, I., A. A. Chudnovsky, A. C. Just, et al. F. Nordio, P. Koutrakis, B. A. Coull, A. I. Lyapustin, Y. Wang, and J. Schwartz. 2014. A new hybrid spatio-temporal model for estimating daily multi-year PM2.5 concentrations across northeastern USA using high resolution aerosol optical depth data Atmospheric Environment 95 581–590 [10.1016/j.atmosenv.2014.07.014]

Cheng, Y.-B., Q. Zhang, A. I. Lyapustin, Y. Wang, and E. M. Middleton. 2014. Impacts of light use efficiency and fPAR parameterization on gross primary production modeling Agricultural and Forest Meteorology 189-190 187–197 [10.1016/j.agrformet.2014.01.006]

Chudnovsky, A. A., P. Koutrakis, I. Kloog, et al. S. Melly, F. Nordio, A. I. Lyapustin, Y. Wang, and J. Schwartz. 2014. Fine particulate matter predictions using high resolution aerosol optical depth (AOD) retrievals Atmospheric Environment 89 189–198 [10.1016/j.atmosenv.2014.02.019]

Chudnovsky, A., A. I. Lyapustin, Y. Wang, et al. C. Tang, J. Schwartz, and P. Koutrakis. 2014. High resolution aerosol data from MODIS satellite for urban air quality studies Central European Journal of Geosciences 6 (1): 17-26 [10.2478/s13533-012-0145-4]

Eck, T. F., B. N. Holben, J. S. Reid, et al. A. Arola, R. A. Ferrare, C. A. Hostetler, S. N. Crumeyrolle, T. A. Berkoff, E. J. Welton, S. Lolli, A. I. Lyapustin, Y. Wang, J. S. Schafer, D. M. Giles, B. E. Anderson, K. L. Thornhill, P. Minnis, K. E. Pickering, C. P. Loughner, A. Smirnov, and A. Siniuk. 2014. Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds Atmos. Chem. Phys. 14 11633-11656 [10.5194/acp-14-11633-2014]

Lyapustin, A. I., Y. Wang, X. Xiong, et al. G. Meister, S. E. Platnick, R. C. Levy, B. A. Franz, S. Korkin, T. Hilker, C. J. Tucker, F. G. Hall, P. J. Sellers, A. Wu, and A. A. Angal. 2014. Scientific impact of MODIS C5 calibration degradation and C6+ improvements Atmos. Meas. Tech. 7 4353-4365 [10.5194/amt-7-4353-2014]

Zhang, Q., Y.-B. Cheng, A. I. Lyapustin, et al. Y. Wang, X. Xiao, A. Suyker, S. Verma, B. Tan, and E. M. Middleton. 2014. Estimation of crop gross primary production (GPP): I. impact of MODIS observation footprint and impact of vegetation BRDF characteristics Agricultural and Forest Meteorology 191 51-63 [10.1016/j.agrformet.2014.02.002]

Hu, X., L. A. Waller, A. I. Lyapustin, Y. Wang, and Y. Liu. 2014. 10-year spatial and temporal trends of PM<sub>2.5</sub> concentrations in the southeastern US estimated using high-resolution satellite data Atmos. Chem. Phys. 14 (12): 6301-6314 [10.5194/acp-14-6301-2014]

Lyapustin, A. I., M. J. Alexander, L. E. Ott, et al. A. M. Molod, B. N. Holben, J. Susskind, and Y. Wang. 2014. Observation of mountain lee waves with MODIS NIR column water vapor Geophys. Res. Lett. 41 (2): 710-716 [10.1002/2013GL058770]

Hu, X., L. A. Waller, A. I. Lyapustin, et al. Y. Wang, M. Z. Al-Hamdan, W. L. Crosson, J. M. Estes, S. M. Estes, D. A. Quattrochi, S. J. Puttaswamy, and Y. Liu. 2013. Estimating Ground-Level PM2.5 Concentrations in the Southeastern United States Using MAIAC AOD Retrievals and a Two-Stage Model Rem. Sens. Environ 140 220-232 [10.1016/j.rse.2013.08.032]

Yang, Y., A. Marshak, J. Mao, A. I. Lyapustin, and J. R. Herman. 2013. A method of retrieving cloud top height and cloud geometrical thickness with oxygen A and B bands for the Deep Space Climate Observatory (DSCOVR) mission: Radiative transfer simulations Journal of Quantitative Spectroscopy and Radiative Transfer 122 141-149 [10.1016/j.jqsrt.2012.09.017]

Korkin, S. V., A. I. Lyapustin, and V. V. Rozanov. 2013. APC: A new code for Atmospheric Polarization Computations Journal of Quantitative Spectroscopy and Radiative Transfer 127 1-11 [10.1016/j.jqsrt.2013.06.019]

Justice, C., M. O. Roman, I. Csiszar, et al. E. Vermote, R. E. Wolfe, S. J. Hook, M. Friedl, Z. Wang, C. B. Schaaf, T. Miura, M. Tschudi, G. Riggs, D. K. Hall, A. I. Lyapustin, S. Devadiga, C. C. Davidson, and E. J. Masuoka. 2013. Land and cryosphere products from Suomi NPP VIIRS: Overview and status J. Geophys. Res. Atmos. 118 (17): 9753-9765 [10.1002/jgrd.50771]

Hilker, T., E. Natsagdorj, R. Waring, A. I. Lyapustin, and Y. Wang. 2013. Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing Global Change Biology 20 (2): 418-428 [10.1111/gcb.12365]

Chudnovsky, A., C. Tang, A. I. Lyapustin, et al. Y. Yang, J. Schwartz, and P. Koutrakis. 2013. A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions Atmos. Chem. Phys. 13 (21): 10907-10917 [10.5194/acp-13-10907-2013]

Zhang, H., R. M. Hoff, S. Kondragunta, I. Laszlo, and A. I. Lyapustin. 2013. Aerosol optical depth (AOD) retrieval using simultaneous GOES-East and GOES-West reflected radiances over the western United States Atmos. Meas. Tech. 6 (2): 471-486 [10.5194/amt-6-471-2013]

Knyazikhin, Y., M. A. Schull, Y. Yang, et al. P. Stenberg, M. Mottus, M. Rautiainen, A. Marshak, P. L. Carmona, R. Kaufmann, P. Lewis, V. Vanderbilt, A. B. Davis, F. Baret, S. Jacquemoud, A. I. Lyapustin, and R. B. Myneni. 2013. Reply to Ollinger et al.: Remote sensing of leaf nitrogen and emergent ecosystem properties Proceedings of the National Academy of Sciences 110 (27): E2438-E2438 [10.1073/pnas.1305930110]

Knyazikhin, Y., P. Lewis, M. I. Disney, et al. P. Stenberg, M. Mottus, M. Rautiainen, R. Kaufmann, A. Marshak, M. Schull, P. Carmona, V. Vanderbilt, A. B. Davis, F. Baret, S. Jacquemoud, A. Lyapustin, Y. Yanga, and R. Myneni. 2013. Reply to Townsend et al.: Decoupling contributions from canopy structure and leaf optics is critical for remote sensing leaf biochemistry Proceedings of the National Academy of Sciences 110 (12): E1075-E1075 [10.1073/pnas.1301247110]

Ceamanos, X., S. Doute, J. Fernando, et al. F. Schmidt, P. Pinet, and A. I. Lyapustin. 2013. Surface reflectance of Mars observed by CRISM/MRO: 1. Multi-angle Approach for Retrieval of Surface Reflectance from CRISM observations (MARS-ReCO) J. Geophys. Res. Planets 118 (3): 514-533 [10.1029/2012JE004195]

Knyazikhin, Y., M. A. Schull, P. Stenberg, et al. M. Mõttus, A. Marshak, P. L. Carmona, R. K. Kaufmann, P. Lewis, M. I. Disney, V. Vanderbilt, A. B. Davis, F. Baret, S. Jacquemoud, A. I. Lyapustin, and R. B. Myneni. 2012. Hyperspectral remote sensing of foliar nitrogen content Proceedings of the National Academy of Sciences 110 (3): E185-E192 [10.1073/pnas.1210196109]

Lyapustin, A. I., Y. Wang, I. Laszlo, et al. T. Hilker, F. G. Hall, P. J. Sellers, C. J. Tucker, and S. V. Korkin. 2012. Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction Rem. Sens. Env 127 385-393 [10.1016/j.rse.2012.09.002]

Lyapustin, A. I., Y. Wang, I. Laszio, and S. V. Korkin. 2012. Improved cloud and snow screening in MAIAC aerosol retrievals using spectral and spatial analysis Atmos. Meas. Tech. 5 (4): 843-850 [10.5194/amt-5-843-2012]

Hilker, T., A. I. Lyapustin, C. J. Tucker, et al. P. J. Sellers, F. G. Hall, and Y. Wang. 2012. Remote sensing of tropical ecosystems: Atmospheric correction and cloud masking matter Rem. Sens. Env 127 370-384 [10.1016/j.rse.2012.08.035]

Korkin, S., A. I. Lyapustin, and V. V. Rozanov. 2012. Modifications of discrete ordinate method for computations with high scattering anisotropy: Comparative analysis J. Quan. Spec. Rad. Trans 113 (16): 2040-2048 [10.1016/j.jqsrt.2012.07.022]

Chudnovsky, A., A. Kostinski, A. Lyapustin, and P. Koutrakis. 2012. Spatial scales of pollution from variable resolution satellite imaging Environmental Pollution 172 131-138

Korkin, S. V., A. I. Lyapustin, and A. Marshak. 2011. On the accuracy of double scattering approximation for atmospheric polarization computations J. Quant. Spec. Rad. Trans 113 (2): 172-181 [10.1016/j.jqsrt.2011.10.008]

Lyapustin, A. I., A. Smirnov, B. N. Holben, et al. M. Chin, D. G. Streets, Z. Lu, R. A. Kahn, I. Slutsker, I. Laszlo, S. Kondragunta, D. Tanre, O. Dubovik, P. Golooub, H.-B. Chen, A. Sinyuk, Y. Wang, and S. Korkin. 2011. Reduction of aerosol absorption in Beijing since 2007 from MODIS and AERONET Geophysical Research Letters 38 (10): L10803 [10.1029/2011GL047306]

Lyapustin, A. I., Y. Wang, I. Laszlo, et al. R. A. Kahn, S. Korkin, L. A. Remer, R. C. Levy, and J. Reid. 2011. Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm J. Geophys. Res. 116 (D3): D03211 [10.1029/2010JD014986]

Wang, Y., J. Czapla-Myers, A. I. Lyapustin, K. J. Thome, and E. Dutton. 2011. AERONET-based surface reflectance validation network (ASRVN) data evaluation: Case study for railroad valley calibration site Rem Sens Environ 115 (10): 2710-2717 [10.1016/j.rse.2011.06.011]

Korkin, S., A. Lyapustin, and V. Rozanov. 2011. Analysis of the radiative transfer equation with highly assymetric phase function J Quan Spec Rad Tran 112 (10): 1595-1608 [10.1016/j.jqsrt.2011.03.016]

Lyapustin, A., C. Gatebe, R. Kahn, et al. R. Brandt, J. Redemann, P. Russell, M. King, C. Pedersen, S. Gerland, R. Poudyal, A. Marshak, Y. Wang, C. Schaaf, D. Hall, and A. Kokhanovsky. 2010. Analysis of snow bidirectional reflectance from ARCTAS Spring-2008 Campaign Atmos. Chem. Phys. 10 (9): 4359-4375 [10.5194/acp-10-4359-2010]

Wang, Y., A. Lyapustin, J. Privette, J. Morisette, and B. N. Holben. 2009. Atmospheric Correction at AERONET Locations: A New Science and Validation Data Set IEEE Trans. Geosci. Remote Sensing 47 (8): 2450-2466 [10.1109/TGRS.2009.2016334]

Kotchenova, S., E. F. Vermote, R. C. Levy, and A. I. Lyapustin. 2008. Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study Applied Optics 47 (13): 2215 [10.1364/AO.47.002215]

Hall, F. G., T. Hilker, N. Coops, et al. A. Lyapustin, K. Huemmrich, E. M. Middleton, H. Margolis, G. Drolet, and T. Black. 2008. Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction Remote Sensing of Environment 112 (7): 3201-3211 [10.1016/j.rse.2008.03.015]

Lyapustin, A., Y. Wang, and R. Frey. 2008. An automatic cloud mask algorithm based on time series of MODIS measurements J. Geophys. Res. 113 (D16): D16207 [10.1029/2007JD009641]

Lyapustin, A. I., Y. Wang, R. Kahn, et al. X. Xiong, A. Ignatov, R. E. Wolfe, A. Wu, B. N. Holben, and C. Bruegge. 2007. Analysis of MODIS–MISR calibration differences using surface albedo around AERONET sites and cloud reflectance Remote Sensing of Environment 107 (1-2): 12-21 [10.1016/j.rse.2006.09.028]

Lyapustin, A., Y. Wang, J. Martonchik, et al. J. Privette, B. N. Holben, I. Slutsker, A. Sinyuk, and A. Smirnov. 2006. Local Analysis of MISR Surface BRF and Albedo Over GSFC and Mongu AERONET Sites IEEE Trans Geosci Remote Sens 44 (7): 1707-1718

Gatebe, C. K., M. D. King, A. I. Lyapustin, G. T. Arnold, and J. Redemann. 2005. Airborne spectral measurements of ocean directional reflectance J Atmos Sci 62 (4): 1072-1092 [10.1175/JAS3386.1]

Lyapustin, A., and Y. Wang. 2005. Parameterized Code SHARM-3D for Radiative Transfer Over Inhomogeneous Surfaces Appl Optics 44 7602-7610

Lyapustin, A. 2005. Transfer Code SHARM for Atmospheric and Terrestrial Applications Appl Optics 44 7764-7772

Lyapustin, A., D. Williams, B. Markham, et al. J. R. Irons, Y. Kaufman, B. Holben, and Y. Wang. 2004. A Method for Unbiased High-Resolution Aerosol Retrieval from Landsat J. Atmos. Sci. 61 (11): 1233-1244 [10.1175/1520-0469(2004)061<1233:AMFUHA>2.0.CO;2]

Lyapustin, A., and Y. Kaufman. 2001. The role of adjacency effect in the optical remote sensing of aerosol J Geophys Res 106 11909-11916

Non-Refereed

Lyapustin, A. I., X. Xiong, Y. Wang, et al. G. Meister, S. E. Platnick, R. C. Levy, B. A. Franz, A. Wu, and A. A. Angal. 2015. MODIS Terra-Aqua C6+ Cross-Calibration Improvements GSICS Quarterly 9 (2): [10.7289/V5XK8CHN]

Lyapustin, A. I., Y. Wang, R. A. Kahn, et al. X. Xiong, A. Ignatov, R. E. Wolfe, A. Wu, and C. Bruegge. 2006. Analysis of calibration differences between MODIS and MISR Proc SPIE Int Soc Opt Eng 6298 9 pp [10.1117/12.680896]

Wolfe, R. E., W. E. Esaias, A. I. Lyapustin, and X. Xiong. 2006. MODIS solar diffuser Earthshine modeling and analysis Proc SPIE Int Soc Opt Eng 6296 8 pp [10.1117/12.679081]

Xie, X., X. Xiong, R. E. Wolfe, and A. I. Lyapustin. 2006. Improvement of MODIS RSB Calibration by minimizing the Earthshine Impact on Solar Diffuser Observations Proc SPIE Int Soc Opt Eng 6296 10 pp [10.1117/12.679081]