text:
Alexei I Lyapustin
RSCH AST, CLIMATE AND RADIATION STD
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.
1991 Ph.D. in Aerospace Remote Sensing, Space Research Institute, Moscow, Russia.
1987 MS/BS in Physics, Moscow State University, Physics Department.
2005 NASA Space Act Award for development of code SHARM;
2007 NASA Hydrospheric and Biospheric Laboratory Peer Award for development of algorithm MAIAC;
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 (In Press) [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 (In Press) [10.1021/acs.est.0c01764]
Chatfield, R. B., M. Sorek-Hamer, R. F. Esswein, and A. Lyapustin. 2020. "Satellite mapping of PM2.5 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 PM2.5 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 [Full Text (Link)] [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]
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 PM2.5 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 [Full Text (Link)] [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 [Full Text (Link)] [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.
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: San Diego, California, 9 pp [10.1117/12.680896 ]
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: San Diego, California, 10 pp [10.1117/12.679081]
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: San Diego, California, 8 pp [10.1117/12.679081]
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 (In Press) 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 (In Press) 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 PM2.5 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 PM2.5 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 [Full Text (Link)] [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]
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 PM2.5 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 [Full Text (Link)] [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 [Full Text (Link)] [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
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 ]
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]
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]


The old standbys are still there, but many newbies are popping up.
From how it's processed to its environmental impact, regular milk is starting to get a bad rap. And soy milk is right behind it. But that doesn't mean there aren't other alternatives at your grocery store. So whether you're old school or looking to venture into new pastures, this guide breaks down the health benefits of all your options.
By far the most common of the dairy milks, it's full of calcium, protein, vitamin A, and has plenty of vitamin D. It also helps build and maintain strong bones, and provides a big boost of energy (thanks, protein!), and is full of A and B12 vitamins that support a healthy immune system and red blood cells.
Interestingly, it has more calcium than cow milk, and actually accounts for 65% of the milk consumption worldwide. It's also lower in fat but still has high levels of protein.
This plant-based milk is made with ground-up soybeans that are added to water. It doesn't contain lactose, so if you have problems digesting dairy, it's a great alternative. It also boasts high amounts of both protein and potassium.
This nut is having a moment. And luckily the milk form is just as nutritious as if you were eating them as a snack. At a low 60 calories (that's about half the amount of regular 2% milk), it contains no lactose or cholesterol, and has high levels of calcium.
Made mostly from brown rice, it doesn't contain lactose or cholesterol. And while it doesn't offer significant amounts of protein or calcium, it's often fortified with vitamins like B12, A, and D, and iron.
A great vegan option, this nutty beverage is chock full of omega-3 and omega-6 fatty acids, 10 essential amino acids, iron, and zinc.
Contrary to popular belief, coconut milk does not come from the water inside the coconut: It's actually made from the grated meat. But because it's loaded with coconut oil, and therefore high in saturated fats, the Food and Drug Administration, World Health Organization, and American Heart Association all advise against consuming too much of it.
A common staple in Middle Eastern cuisine, this dairy milk is a newbie to the U.S. market — and it may have a hard time winning over stateside fans. The flavor has an interesting, earthy richness (our staff did a blind taste test and found it too overpowering). Plus, it's priced at a whopping $18 a pint. But don't write it off yet. According to Desert Farms, the retailer behind America's first camel milk brand, it's packed with protein, potassium, calcium, and a whopping 70% of our suggested daily value of vitamin B1.
TELL US: Would you drink camel's milk?


To secure IUPAP sponsorship, the organisers have provided assurance that the Mathematical Results in Quantum Physics conference will be conducted in accordance with IUPAP principles as stated in the IUPAP resolution passed by the General Assembly in 2008. In particular, no bona fide scientist will be excluded from participation on the grounds of national origin, nationality, or political considerations unrelated to science. Statement on the Free Circulation of Scientists.


text:
Q: Two different CMake difinitions With CMake when some definitions are defined they are defined in this way:
add_definitions(-DMY_DEFINITION)

Sometimes I see people make the definitions in a different way:
add_definitions(-DMY_DEFINITION=1)

Then my question is what's the difference between them in the generated C++ project. Thanks.

A: This is not really related to CMake but more to the C/++ compiler.
In the code the difference is the same between :
#define MY_DEFINITION

and
#define MY_DEFINITION 1

Actually there's not need to define a value for a C/++ macro if the only thing you want is to know if the macro exists (has been defined), like a "flag". Best example is the header include guards :
#ifndef MYHEADER
#define MYHEADER
// ...
#endif

But sometimes people prefer setting a value (like =1) even if they don't need it, because it's more exhaustive, or clear.
More generally speaking when you affect a value to a macro it is because you expect the macro name to be expanded to the value. When not you just expect the value to exist. The way tests are done may be different :
With -DMY_DEFINITION:
#ifdef MY_DEFINITION
    // Do something
#else
    // Do somthing else
#endif

With -DMY_DEFINITION=1
#if MY_DEFINITION
    // Do something
#else
    // Do somthing else
#endif

redpajama_set_name: RedPajamaStackExchange


text:
John F. Kennedy once said that "Change is the law of life. And those who look only to the past or present are certain to miss the future." Change is inevitable. It presents itself in all areas of life, both personal or professional. Change is also inevitable in business – all businesses must accept this as truth. The old adage of "business as usual" is just that – old! Successful businesses face the challenge of change, accept it and respond to it.
For some, the mere mention of the word "change" can be paralyzing . . . . .causing a flood of emotions and feelings of uncertainty. For others, change is fun and exciting – an opportunity to start anew with a clean slate.
The Cameron School of Business saw its fair share of changes in June 2014. The dean who led the school for 14 years was lost to a chancellor's position, an associate dean climbed the rungs to become dean at another university, and department chairs went back to the faculty. There was a domino effect of people moving into leadership positions. I am proud to say that Cameron's faculty, staff, students, mentors and advisory board members have veered off of that all too familiar "Road of Resistance" and jumped onto the "Highway of Resilience." Cameron is welcoming the leadership changes, accepting and embracing the new leadership styles, and responding to the newness with optimism and excitement.
The truth is what has changed are the folks who now occupy different offices; what has not changed is the DNA of the Cameron School of Business. Our new administrative team worked under the leadership of Larry Clark and Becky Porterfield and continues to embrace the same core values and mission for the school: through excellence in teaching, scholarship, service and executive involvement, Cameron provides students with the skills, knowledge and practice to think critically and act responsibly in meeting global challenges.
Our exceptional faculty and staff remain committed to providing each and every student the best educational experience possible, preparing them for an exciting career. Our dedicated mentors and volunteers still share the same passion for our students and support our program goals: to improve academic and career advising; to improve placement of graduates in their field/discipline; to expand strategic relationships with targeted organizations/business sectors; to improve scholarship; and to increase faculty participation abroad through collaborative international research, publications in international journals, teaching abroad and grants. Cameron's advisory board members stand ready to help steer the School in meeting all challenges.
So perhaps the adage: "Business as usual" is not so old after all. The leadership may have changed, but the commitment to the journey of learning at the Cameron School of Business remains the same.
Found Money: Tax Extenders And Disaster Relief
Caroline Montgomery - Adam Shay CPA, PLLC
The Future Of Health Care: Administration
Charles Hardy - UNCW College of Health and Human Services
The Most Fitting Trends Take Shape
The top fitness trends have been named by the American College of Sports Medicine, and they can be seen in the Wilmington area....
Real Estate Runs In The Family
Real estate firms often include multiple generations working alongside each other, and examples abound in the Wilmington area....

redpajama_set_name: RedPajamaCommonCrawl


text:
It's not dating, it's marriage
For citizens, the president is a spouse and the presidential election is about finding the best partner. As long as you don't get a divorce, you have to live together for five years. So a verification process is a must when you vote for a president.
When you are dating, you may be satisfied with a handsome and stylish partner. But if you want to get married, you need to consider financial stability, family background, personality and responsibility. Especially, you should also check out the people the candidate associates with.
A good boyfriend does not necessarily make a great husband. The same goes for political leaders. A popular politician is not necessarily good presidential material. First-class candidates should pass the marriage verification.
Former representative Park Chan-jong may be the most well-known case that failed the test.
Five-time representative Park ran for president in 1992. He was running as the New Politics Reform Party candidate, but he was virtually an independent. Kim Young-sam of the Democratic Liberal Party, Kim Dae-jung of the Democratic Party and Chung Ju-yung of the Unification People Party had solid funding and party support.
In contrast, Park hardly had any financial and organizational support. Park managed his own election campaign. Donning his signature trench coat, he went canvassing for votes on the street.
He finished in fourth place, earning 6.4 percent of the votes. However, Park left a deep impression on citizens. He was remembered as a clean political leader with conviction. Thanks to the image, he appeared in a commercial for milk. He said, "I would like to make the world as pure as this milk," in the homogenized milk commercial.
In fact, homogenization is a milk-processing technique of breaking down fat to prevent separation and has nothing to do with being pure. However, his clean-cut image made for a successful advertising campaign.
At any rate, he was known as a pure politician, and the voters were attracted to him. The next presidential election was in 1997. Among the New Korea Party's presidential hopefuls, Park, then the advisor of the ruling party, was ranked the favorite in the opinion poll, leading the competitive pool of candidates, including Lee Hoi-chang, Lee Han-dong, Choi Hyung-wu and Kim Deok-ryong.
On New Year's Day, his residence in Bangbae-dong was overflowing with guests. But in a few months, the boom was all over. He failed the eligibility test for marriage.
Five years before, he was virtually an independent. But this time, he had to go through the party primary, and the voters reviewed his personal relationships and his leadership in the organization.
They wanted to see how Park would survive in the giant party. And he did not pass the test, failing to get over the limitation of being on his own.
When he could not get support from the party, he made sudden moves, criticizing the primary rules and raising doubts about election financing. But his claims were not convincing as he lacked grounds. On the last day, he gave up running in the primary.
An unverified presidential runner is boyfriend material with unknown marriage potential. Ahn Cheol-soo may still be considered a boyfriend.
His academic background is flawless, and he has made a name as an entrepreneur, professor and public speaker. These qualities make him a great boyfriend. But it is unknown if he would make a great spouse as well.
He needs to get through various rounds of vetting. Most importantly, we need to check if he does what he says he's going to do and who he is friends with.
We can trust him if he is a man of his word, and his friends would be an indication of his personality. No matter how rich, famous or smart Ahn is, marriage is a risky business if you don't have trust.
The Ahn Cheol-soo controversy is stirring the country. There are rumors of threats and blackmail, and conversations among friends have been revealed. It all seems chaotic and confusing. But once the muddy water settles, we will be able to see the fish in the clear water.
The voters have questions for Ahn. Why did he say he had not been a homeowner when he had purchased an apartment in a redevelopment zone when he was 26?
When he made hundreds of millions of won as an outside director, did he provide proper surveillance on conglomerate operations? Why did he exaggerate his stories about military service? Has he learned about the candlelight vigils, Yongsan and Jeju bases and the sinking of the naval vessel Cheonan?
If Ahn passes the test, he would be the most eligible candidate for marriage. But if he fails, he would remain a dating partner, just like the man in the trench coat we all remember.
* The author is an editorial writer of the JoongAng Ilbo.
by Kim Jin


SEO is an important part of your content marketing plan. Methods are continually evolving because of users' differing perspectives and search engine developments, and it's hard to stay on top of things.
Here, we'll review some of the most common SEO mistakes to avoid.
SEO is all about the keywords you want to rank for when you're selling the best email autoresponder services. But, are you picking the right ones? Many marketers disregard users' and search engines' preferences in terms of long tail keywords. While you may define your services and products in one way, it's vital for you to understand how your customers would term them. Sometimes, the terminology you choose may mean different things to other people, or they could be overly generic. It's important to use tools such as Google Trends, Moz Keyword Explorer and SEMrush to find out which keywords are trending before you begin the optimization process.
The next error on the list is related to content quality. While text duplication was a common strategy in the past, the search engines impose stiff penalties for it today. Plagiarizing content is a spammy, unethical practice, and as such, it's strongly discouraged. Thin content doesn't work, especially when you're writing a Youzign 2 review. Instead of taking others' copy or using an article spinner, it's worth the time to create meaningful, original and relevant text. This is the only sure way for you to ensure that a Google penalty doesn't push your site to the bottom of the results pages.
To get the biggest benefit from your SEO efforts, you need to understand that the quality of your external links is more important than quantity. That's why you should link to lifetime hosting cpanel sites that have linked to yours, as it can bring more traffic. Using poor-quality anchor text can be detrimental as well; it wastes a great opportunity as it tells the reader and the search engines' bots what the link is all about. Avoid using generic anchor text and add some variety to them, as using the same text repeatedly can be viewed as being spammy.
SEO isn't just about keywords and content; it's also about your site's quality, particularly its performance on users' mobile devices. Google and the other major search engines can recognize when a site isn't optimized for mobile users, and if it isn't, your search rankings may suffer. This applies equally to loading speed, as customers and search engines will ignore your best private proxy services sale site if it takes a long time to load.
SEO has a social component as well. When you're promoting your best premium WordPress theme clubs on social media sites, your goal should be to grab the attention of influential users. When you do this, your content gets noticed by the search engines and your target market. That's why you should strive to build relationships with power users, and to use their reputation and credibility to promote your site's content. Using a high quality and feature-full landing page builder like Optimizepress can help you achieve better conversions and lower bounce rates.
Finally, the best way to know if your content and SEO efforts are successful is to measure your progress. Many sellers of the best WordPress landing pages plugin simply ignore the numbers, which is a severe mistake. By setting up and regularly tracking your analytics, you'll achieve better SEO results.
SEO is a crucial part of any marketer's content strategy. While advice is plentiful online, it's common to make mistakes. Rather, it's best to learn from others' mistakes, so you can avoid them during your own marketing efforts. These errors are quite common, which means they're easier to see and avoid.
Hot Count Copyright © 2019.


Join iMOCA, Twogether Studios and Cat Head Press for a special Illimat playing party. Check out the Level Up exhibition, meet a few of the artists, check out the Wonderscope and get an early chance to play Illimat.
The Englewood Project is the Indianapolis based extension of the global artwork Love Letter To the World by Kurt Gohde and Kremena Todorova from Lexington Kentucky.
Join us for an ice cream social at Englewood Recreation to kick of the 2017 Englewood Village creative placemaking season.
Join us for a very special event with Indianapolis Glass artist Benjamin Johnson to celebrate the release of Spacetime, a catalog of Johnson's recent iMOCA exhibitions.
Sarah Hobbs will discuss her body of work in her first Indianapolis exhibition Psychological Traces, currently at the CityWay Gallery curated by the Indianapolis Museum of Contemporary Art.


text:
Barry McCabe
Troubadour Nominated for two JPF Awards
Some very exciting news regarding Barry's "Troubadour" album. First, let's explain what JPF is and what this is all about.
JPF stands for Just Plain Folks, an organisation founded by Brian Whitney in 1999. "Just Plain Folks is a community of over 51,500 Songwriters, Recording Artists and Music Industry Professionals - and host to the world's largest independent music awards. Our organization was created to provide a network of cooperation and inclusion for musicians."
2017 Just Plain Folks Music Awards Nominations
"After 18 months of screening 17,400 albums and 240,000 songs, the judges have chosen nominees for both Albums and Songs in over 70 genres of music. The competition was very high and the talent levels were top notch and many worthy songs and albums still didn't make the cut."
You can find the nominees listed here
Barry's song "The Peace Within" (the Troubadour version) has been nominated in the "Traditional Folk Song" category and the Troubadour DVD has been nominated in the Video category.
At this moment, the awards show date is slated for 11th November but that can still change. The show will be (somewhere) in L.A. (USA).
Note: JPF's definition of Trad. Folk: This is a bit misleading for purists. These are original songs, done in a more traditional production style than New Folk. Most of the lyrical content tells stories or laments the human condition and circumstances we all face.
Join the Mailing List - and get access to rare 'bonus' material
Beyond The Tears
€6.99 +S&ampH
The Day They Lowered You Down
Troubadour - 2 disc CD & DVD collection
Absolutely Live Vol. 1


text:
/**
 * Module dependencies.
 */

var express = require('express'),
    //http = require('http'),
    path = require('path'),
    restful = require('node-restful'),
    mongoose = restful.mongoose,
    models = require('./models');

var app = exports.app = express();

// all environments
app.set('port', process.env.PORT || 3000)
    .use(express.favicon())
    .use(express.logger('dev'))
    .use(express.bodyParser())
    .use(express.methodOverride())
    .use(exports.app.router)
    .use(express.static(path.join(__dirname, 'public')));

// database
mongoose.connect('mongodb://localhost/node_restful_tester');

// development only
if ('development' == exports.app.get('env')) {
  app.use(express.errorHandler());
  mongoose.set('debug', true);
}

// routes
models.User.methods(['get', 'post', 'put', 'delete'])
           .register(app, '/api/users');

var start = exports.start = function(app, startCallback) {
    var http = require('http');
    http.createServer(app).listen(app.get('port'), function(){
      startCallback();
    });
};

if (require.main === module) {
    start(app, function() {
        console.log('Express server listening on port ' + app.get('port'));
    });
}

redpajama_set_name: RedPajamaGithub