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Alexei Lyapustin
Alexei Lyapustin
Research Scientist, NASA GSFC
Verified email at nasa.gov
Title
Cited by
Cited by
Year
Global estimates of fine particulate matter using a combined geophysical-statistical method with information from satellites, models, and monitors
A Van Donkelaar, RV Martin, M Brauer, NC Hsu, RA Kahn, RC Levy, ...
Environmental science & technology 50 (7), 3762-3772, 2016
10632016
Advancements in the Aerosol Robotic Network (AERONET) Version 3 database–automated near-real-time quality control algorithm with improved cloud screening for Sun photometer …
DM Giles, A Sinyuk, MG Sorokin, JS Schafer, A Smirnov, I Slutsker, TF Eck, ...
Atmospheric Measurement Techniques 12 (1), 169-209, 2019
7872019
MODIS collection 6 MAIAC algorithm
A Lyapustin, Y Wang, S Korkin, D Huang
Atmospheric Measurement Techniques 11 (10), 5741-5765, 2018
5932018
Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm
A Lyapustin, Y Wang, I Laszlo, R Kahn, S Korkin, L Remer, R Levy, ...
Journal of Geophysical Research: Atmospheres 116 (D3), 2011
5542011
Global estimates and long-term trends of fine particulate matter concentrations (1998–2018)
MS Hammer, A van Donkelaar, C Li, A Lyapustin, AM Sayer, NC Hsu, ...
Environmental Science & Technology 54 (13), 7879-7890, 2020
5292020
Hyperspectral remote sensing of foliar nitrogen content
Y Knyazikhin, MA Schull, P Stenberg, M Mõttus, M Rautiainen, Y Yang, ...
Proceedings of the National Academy of Sciences 110 (3), E185-E192, 2013
4922013
Reconstructing 1-km-resolution high-quality PM2. 5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
J Wei, Z Li, A Lyapustin, L Sun, Y Peng, W Xue, T Su, M Cribb
Remote Sensing of Environment 252, 112136, 2021
4722021
An ensemble-based model of PM2. 5 concentration across the contiguous United States with high spatiotemporal resolution
Q Di, H Amini, L Shi, I Kloog, R Silvern, J Kelly, MB Sabath, C Choirat, ...
Environment international 130, 104909, 2019
4512019
Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States
Q Di, I Kloog, P Koutrakis, A Lyapustin, Y Wang, J Schwartz
Environmental science & technology 50 (9), 4712-4721, 2016
4412016
Photosynthetic seasonality of global tropical forests constrained by hydroclimate
K Guan, M Pan, H Li, A Wolf, J Wu, D Medvigy, KK Caylor, J Sheffield, ...
Nature Geoscience 8 (4), 284-289, 2015
4012015
Vegetation dynamics and rainfall sensitivity of the Amazon
T Hilker, AI Lyapustin, CJ Tucker, FG Hall, RB Myneni, Y Wang, J Bi, ...
Proceedings of the National Academy of Sciences 111 (45), 16041-16046, 2014
3492014
Vegetation dynamics and rainfall sensitivity of the Amazon
T Hilker, AI Lyapustin, CJ Tucker, FG Hall, RB Myneni, Y Wang, J Bi, ...
Proceedings of the National Academy of Sciences 111 (45), 16041-16046, 2014
3492014
Improved 1 km resolution PM estimates across China using enhanced space–time extremely randomized trees
J Wei, Z Li, M Cribb, W Huang, W Xue, L Sun, J Guo, Y Peng, J Li, ...
Atmospheric Chemistry and Physics 20 (6), 3273-3289, 2020
3352020
Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look‐up tables
A Lyapustin, J Martonchik, Y Wang, I Laszlo, S Korkin
Journal of Geophysical Research: Atmospheres 116 (D3), 2011
3172011
Estimating ground-level PM2. 5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model
X Hu, LA Waller, A Lyapustin, Y Wang, MZ Al-Hamdan, WL Crosson, ...
Remote Sensing of Environment 140, 220-232, 2014
3162014
Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing
T Hilker, E Natsagdorj, RH Waring, A Lyapustin, Y Wang
Global Change Biology 20 (2), 418-428, 2014
3012014
Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing
T Hilker, E Natsagdorj, RH Waring, A Lyapustin, Y Wang
Global Change Biology 20 (2), 418-428, 2014
3012014
A new hybrid spatio-temporal model for estimating daily multi-year PM2. 5 concentrations across northeastern USA using high resolution aerosol optical depth data
I Kloog, AA Chudnovsky, AC Just, F Nordio, P Koutrakis, BA Coull, ...
Atmospheric Environment 95, 581-590, 2014
3002014
Estimation of daily PM10 and PM2. 5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model
M Stafoggia, T Bellander, S Bucci, M Davoli, K De Hoogh, F De'Donato, ...
Environment international 124, 170-179, 2019
2962019
Spatial validation reveals poor predictive performance of large-scale ecological mapping models
P Ploton, F Mortier, M Réjou-Méchain, N Barbier, N Picard, V Rossi, ...
Nature communications 11 (1), 4540, 2020
2852020
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