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Environmental Sciences

D-Index
80
Citations
26559
World Ranking
954
National Ranking
412

Overview

Alexei Lyapustin is affiliated with the Goddard Space Flight Center in the United States, contributing to research primarily in the fields of Environmental Science and Earth and Planetary Sciences. Their work broadly covers atmospheric phenomena and environmental impacts, with a strong focus on airborne particulates and their implications for health and climate.

Their research spans several key topics, including:

  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds
  • Atmospheric Ozone and Climate
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Atmospheric and Environmental Gas Dynamics
  • Remote Sensing in Agriculture

Lyapustin has contributed to research published in various scientific venues. The most frequent publication outlets include:

  • Atmospheric chemistry and physics
  • Frontiers in Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing of Environment
  • Environmental Science & Technology

Key recent papers authored or coauthored by Lyapustin address global and regional air quality assessment using remote sensing data. Notable publications include:

  • "Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications," 2020, Remote Sensing of Environment
  • "Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018)," 2020, Environmental Science & Technology
  • "Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty," 2021, Environmental Science & Technology
  • "Improved 1 km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees," 2020, Atmospheric chemistry and physics
  • "Spatial validation reveals poor predictive performance of large-scale ecological mapping models," 2020, Nature Communications

Frequent collaborators in Lyapustin's research include:

  • Yujie Wang
  • A. M. Sayer
  • Sergey Korkin
  • R. C. Levy
  • Ralph A. Kahn

Alexei Lyapustin has also contributed to book publications, including a title published by Frontiers Media: "DSCOVR EPIC/NISTAR: 5 years of observing earth from the first lagrangian point," released in 2022.

Best Publications

  • Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements

    David M. Giles;Alexander Sinyuk;Mikhail G. Sorokin;Joel S. Schafer

  • Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

    Aaron Van Donkelaar;Randall V. Martin;Randall V. Martin;Michael Brauer;N. Christina Hsu

  • Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications

    Jing Wei;Jing Wei;Zhanqing Li;Alexei Lyapustin;Lin Sun

  • MODIS Collection 6 MAIAC Algorithm

    Alexei Lyapustin;Yujie Wang;Sergey Korkin;Dong Huang

  • Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018).

    Melanie S Hammer;Melanie S Hammer;Aaron van Donkelaar;Aaron van Donkelaar;Chi Li;Chi Li;Alexei Lyapustin;Alexei Lyapustin

  • Fifty years of Landsat science and impacts

    Unknown

  • Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty.

    Aaron van Donkelaar;Aaron van Donkelaar;Melanie S. Hammer;Liam Bindle;Michael Brauer;Michael Brauer

  • An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution

    Qian Di;Qian Di;Heresh Amini;Liuhua Shi;Itai Kloog

  • Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm

    A. Lyapustin;A. Lyapustin;Y. Wang;Y. Wang;I. Laszlo;R. Kahn

  • Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees

    Jing Wei;Jing Wei;Zhanqing Li;Maureen Cribb;Wei Huang

  • Spatial validation reveals poor predictive performance of large-scale ecological mapping models.

    Pierre Ploton;Frédéric Mortier;Maxime Rejou-Mechain;Nicolas Barbier

  • Hyperspectral remote sensing of foliar nitrogen content.

    Yuri Knyazikhin;Mitchell A. Schull;Pauline Stenberg;Matti Mõttus

  • Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States.

    Qian Di;Itai Kloog;Petros Koutrakis;Alexei Lyapustin

  • Photosynthetic seasonality of global tropical forests constrained by hydroclimate

    Kaiyu Guan;Kaiyu Guan;Ming Pan;Haibin Li;Adam Wolf

  • Vegetation dynamics and rainfall sensitivity of the Amazon

    Thomas Hilker;Alexei I. Lyapustin;Compton J. Tucker;Forrest G. Hall;Forrest G. Hall

  • The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2

    Alexander Sinyuk;Brent N. Holben;Thomas F. Eck;Thomas F. Eck;David M. Giles

  • Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013-2015, using a spatiotemporal land-use random-forest model.

    Massimo Stafoggia;Tom Bellander;Simone Bucci;Marina Davoli

  • Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables

    Alexei Lyapustin;Alexei Lyapustin;John Martonchik;Yujie Wang;Yujie Wang;Istvan Laszlo

  • Estimating Ground-Level PM(sub 2.5) Concentrations in the Southeastern United States Using MAIAC AOD Retrievals and a Two-Stage Model

    Xuefei Hu;Lance A. Waller;Alexei Lyapustin;Yujie Wang;Yujie Wang

  • Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing

    Thomas Hilker;Enkhjargal Natsagdorj;Richard H. Waring;Alexei Lyapustin

  • Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction

    Alexei I. Lyapustin;Yujie Wang;Yujie Wang;Istvan Laszlo;Thomas Hilker

  • A New Hybrid Spatio-temporal Model for Estimating Daily Multi-year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data

    Itai Kloog;Alexandra A. Chudnovsky;Allan C. Just;Francesco Nordio

Frequent Co-Authors

Yujie Wang
Yujie Wang University of Maryland, Baltimore County
Thomas Hilker
Thomas Hilker Oregon State University
Andrew M. Sayer
Andrew M. Sayer Goddard Space Flight Center
Brent N. Holben
Brent N. Holben Goddard Space Flight Center
Randall V. Martin
Randall V. Martin Washington University in St. Louis
Itai Kloog
Itai Kloog Icahn School of Medicine at Mount Sinai
Robert C. Levy
Robert C. Levy Goddard Space Flight Center
Alexander Marshak
Alexander Marshak Goddard Space Flight Center
Yuri Knyazikhin
Yuri Knyazikhin Boston University
Joel Schwartz
Joel Schwartz Harvard University

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