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;
Refereed
Wulder, M. A., D. P. Roy, V. C. Radeloff, et al. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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 PM<sub>2.5</sub> episodes in the wintertime San Joaquin Valley: a “static” model using column water vapor."
Atmospheric Chemistry and Physics,
20
(7):
4379-4397
[10.5194/acp-20-4379-2020]
Wei, J., Z. Li, M. Cribb, et al. 2020. "Improved 1 km resolution PM<sub>2.5</sub> estimates across China using enhanced space–time extremely randomized trees."
Atmospheric Chemistry and Physics,
20
(6):
3273-3289
[10.5194/acp-20-3273-2020]
Danesh Yazdi, M., Z. Kuang, K. Dimakopoulou, et al. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 2016. "In Memorium: Thomas Hilker."
Remote Sensing,
8
(10):
853
[10.3390/rs8100853]
Moura, Y. M., T. Hilker, F. G. Gonçalves, et al. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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
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Knyazikhin, Y., M. A. Schull, Y. Yang, et al. 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
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Knyazikhin, Y., P. Lewis, M. I. Disney, et al. 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
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E1075-E1075
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Ceamanos, X., S. Doute, J. Fernando, et al. 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
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514-533
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Knyazikhin, Y., M. A. Schull, P. Stenberg, et al. 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. 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. 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. 2011. "Reduction of aerosol absorption in Beijing since 2007 from MODIS and AERONET."
Geophysical Research Letters,
38
(10):
L10803
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Lyapustin, A. I., Y. Wang, I. Laszlo, et al. 2011. "Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm."
J. Geophys. Res.,
116
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D03211
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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. 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
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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. 2008. "Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction."
Remote Sensing of Environment,
112
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3201-3211
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Lyapustin, A., Y. Wang, and R. Frey. 2008. "An automatic cloud mask algorithm based on time series of MODIS measurements."
J. Geophys. Res.,
113
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D16207
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Lyapustin, A. I., Y. Wang, R. Kahn, et al. 2007. "Analysis of MODIS–MISR calibration differences using surface albedo around AERONET sites and cloud reflectance."
Remote Sensing of Environment,
107
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12-21
[10.1016/j.rse.2006.09.028]
Lyapustin, A., Y. Wang, J. Martonchik, et al. 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
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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. 2004. "A Method for Unbiased High-Resolution Aerosol Retrieval from Landsat."
J. Atmos. Sci.,
61
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1233-1244
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Lyapustin, A., and Y. Kaufman. 2001. "The role of adjacency effect in the optical remote sensing of aerosol."
J Geophys Res,
106:
11909-11916.
Non-Refereed
Lyapustin, A. I., X. Xiong, Y. Wang, et al. 2015. "MODIS Terra-Aqua C6+ Cross-Calibration Improvements
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GSICS Quarterly
9
(2):
[10.7289/V5XK8CHN]
Lyapustin, A. I., Y. Wang, R. A. Kahn, et al. 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]
Refereed
Wulder, M. A., D. P. Roy, V. C. Radeloff, et al. 2022. "Fifty years of Landsat science and impacts."
Remote Sensing of Environment
280
113195
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Korkin, S., E.-S. Yang, R. Spurr, et al. 2022. "Numerical Results for Polarized Light Scattering in a Spherical Atmosphere."
Journal of Quantitative Spectroscopy and Radiative Transfer
287
108194
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Go, S., A. Lyapustin, G. L. Schuster, et al. 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. 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
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Falah, S., A. Mhawish, M. Sorek-Hamer, et al. 2021. "Impact of environmental attributes on the uncertainty in MAIAC/MODIS AOD retrievals: A comparative analysis."
Atmospheric Environment
262
118659
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Lyapustin, A., Y. Wang, S. Go, et al. 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. 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. 2021. "Effects of COVID-19 lockdowns on fine particulate matter concentrations."
Science Advances
7
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eabg7670
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Loría‐Salazar, S. M., A. M. Sayer, J. Barnes, et al. 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. 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. 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. 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
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Korkin, S., E.-S. Yang, R. Spurr, et al. 2020. "Revised and extended benchmark results for Rayleigh scattering of sunlight in spherical atmospheres."
Journal of Quantitative Spectroscopy and Radiative Transfer
254
107181
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Ploton, P., F. Mortier, M. Réjou-Méchain, et al. 2020. "Spatial validation reveals poor predictive performance of large-scale ecological mapping models."
Nature Communications
11
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4540
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Just, A. C., Y. Liu, M. Sorek-Hamer, et al. 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. 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. 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
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Hammer, M. S., A. van Donkelaar, C. Li, et al. 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 PM<sub>2.5</sub> episodes in the wintertime San Joaquin Valley: a “static” model using column water vapor."
Atmospheric Chemistry and Physics
20
(7):
4379-4397
[10.5194/acp-20-4379-2020]
Wei, J., Z. Li, M. Cribb, et al. 2020. "Improved 1 km resolution PM<sub>2.5</sub> estimates across China using enhanced space–time extremely randomized trees."
Atmospheric Chemistry and Physics
20
(6):
3273-3289
[10.5194/acp-20-3273-2020]
Danesh Yazdi, M., Z. Kuang, K. Dimakopoulou, et al. 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. 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. 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. 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. 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. 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
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Karagulian, F., M. Temimi, D. Ghebreyesus, et al. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 2016. "In Memorium: Thomas Hilker."
Remote Sensing
8
(10):
853
[10.3390/rs8100853]
Moura, Y. M., T. Hilker, F. G. Gonçalves, et al. 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. 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. 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. 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. 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. 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. 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. 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. 2016. "Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors."
Environ. Sci. Technol.
50
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3762-3772
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de Moura, Y. M., T. Hilker, A. I. Lyapustin, et al. 2015. "Seasonality and drought effects of Amazonian forests observed from multi-angle satellite data."
Remote Sensing of Environment
171
278-290
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Kloog, I., M. Sorek-Hamer, A. I. Lyapustin, et al. 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
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Hilker, T., A. I. Lyapustin, F. G. Hall, et al. 2015. "On the measurability of change in Amazon vegetation from MODIS."
Remote Sensing of Environment
166
233–242
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Yoshida, Y., J. Joiner, C. J. Tucker, et al. 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
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Just, A. C., R. O. Wright, J. Schwartz, et al. 2015. "Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City."
Environ. Sci. Technol.
49
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Bi, J., Y. Knyazikhin, S. Choi, et al. 2015. "Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests."
Environmental Research Letters
10
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064014
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Emde, C., V. Barlakas, C.-E. Cornet, et al. 2015. "IPRT polarized radiative transfer model intercomparison project - phase A."
J. Quant. Spect. Rad. Trans
164
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Guan, K., M. Pan, H. Li, et al. 2015. "Photosynthetic seasonality of global tropical forests constrained by hydroclimate."
Nature Geoscience
8
284–289
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Zhang, Q., Y.-B. Cheng, A. I. Lyapustin, et al. 2015. "Estimation of crop gross primary production (GPP): II. Do scaled MODIS vegetation indices improve performance?"
Agricultural and Forest Meteorology
200
1-8
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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
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Hilker, T., A. I. Lyapustin, C. J. Tucker, et al. 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. 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
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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. 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. 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. 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. 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. 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
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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
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6301-6314
[10.5194/acp-14-6301-2014]
Lyapustin, A. I., M. J. Alexander, L. E. Ott, et al. 2014. "Observation of mountain lee waves with MODIS NIR column water vapor."
Geophys. Res. Lett.
41
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710-716
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Hu, X., L. A. Waller, A. I. Lyapustin, et al. 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
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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
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Justice, C., M. O. Roman, I. Csiszar, et al. 2013. "Land and cryosphere products from Suomi NPP VIIRS: Overview and status."
J. Geophys. Res. Atmos.
118
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9753-9765
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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. 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. 2013. "Reply to Ollinger et al.: Remote sensing of leaf nitrogen and emergent ecosystem properties."
Proceedings of the National Academy of Sciences
110
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E2438-E2438
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Knyazikhin, Y., P. Lewis, M. I. Disney, et al. 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
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Ceamanos, X., S. Doute, J. Fernando, et al. 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
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Knyazikhin, Y., M. A. Schull, P. Stenberg, et al. 2012. "Hyperspectral remote sensing of foliar nitrogen content."
Proceedings of the National Academy of Sciences
110
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E185-E192
[10.1073/pnas.1210196109]
Lyapustin, A. I., Y. Wang, I. Laszlo, et al. 2012. "Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction."
Rem. Sens. Env
127
385-393
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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
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843-850
[10.5194/amt-5-843-2012]
Hilker, T., A. I. Lyapustin, C. J. Tucker, et al. 2012. "Remote sensing of tropical ecosystems: Atmospheric correction and cloud masking matter."
Rem. Sens. Env
127
370-384
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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. 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. 2011. "Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm."
J. Geophys. Res.
116
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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. 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. 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
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D16207
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Lyapustin, A. I., Y. Wang, R. Kahn, et al. 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. 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. 2004. "A Method for Unbiased High-Resolution Aerosol Retrieval from Landsat."
J. Atmos. Sci.
61
(11):
1233-1244
[10.1175/1520-0469(2004)061<1233:AMFUHA>2.0.CO;2]
Lyapustin, A., and Y. Kaufman. 2001. "The role of adjacency effect in the optical remote sensing of aerosol."
J Geophys Res
106
11909-11916
Non-Refereed
Lyapustin, A. I., X. Xiong, Y. Wang, et al. 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. 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]
