| 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 | 1175 | 2016 |
| 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 | 994 | 2019 |
| 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 | 736 | 2021 |
| MODIS collection 6 MAIAC algorithm A Lyapustin, Y Wang, S Korkin, D Huang Atmospheric Measurement Techniques 11 (10), 5741-5765, 2018 | 718 | 2018 |
| 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 | 708 | 2020 |
| 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 | 612 | 2011 |
| 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 | 588 | 2019 |
| 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 | 525 | 2013 |
| Monthly global estimates of fine particulate matter and their uncertainty A Van Donkelaar, MS Hammer, L Bindle, M Brauer, JR Brook, MJ Garay, ... Environmental Science & Technology 55 (22), 15287-15300, 2021 | 492 | 2021 |
| 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 | 489 | 2016 |
| Improved 1 km resolution PM2.5 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 | 469 | 2020 |
| 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 | 452 | 2015 |
| 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 | 427 | 2020 |
| Fifty years of Landsat science and impacts MA Wulder, DP Roy, VC Radeloff, TR Loveland, MC Anderson, ... Remote Sensing of Environment 280, 113195, 2022 | 395 | 2022 |
| 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 | 383 | 2014 |
| 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 | 369 | 2019 |
| 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 | 361 | 2011 |
| 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 | 342 | 2014 |
| 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 | 342 | 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 I Kloog, AA Chudnovsky, AC Just, F Nordio, P Koutrakis, BA Coull, ... Atmospheric Environment 95, 581-590, 2014 | 319 | 2014 |