Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Alexei Lyapustin

Showing results (21-30 of 46) with videos related to

Pageof 5
Sort By:
Journal of Exposure Science & Environmental Epidemiology|June 18, 2015
Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003-2011Mihye Lee, Itai Kloog, Alexandra Chudnovsky, et al.
The Science of the Total Environment|August 27, 2025
Statistical downscaling of coarse-resolution fine particulate matter predictions over the contiguous United States: model development, evaluation, and implication in health impact assessmentKiarash Farzad, Yang Zhang, Kai Wang, et al.
ACS ES&T Air|October 16, 2025
Effects of Fire Plume Height on the Geophysical Estimation of Surface Fine Particulate Matter from Satellite Aerosol Optical Depth during North American WildfiresInderjeet Singh, Randall V Martin, Aaron van Donkelaar, et al.
Atmospheric Environment (Oxford, England : 1994)|October 3, 2017
Estimating daily PM<sub>2.5</sub> and PM<sub>10</sub> across the complex geo-climate region of Israel using MAIAC satellite-based AOD dataItai Kloog, Meytar Sorek-Hamer, Alexei Lyapustin, et al.
Atmospheric Measurement Techniques|November 16, 2020
Gradient boosting machine learning to improve satellite-derived column water vapor measurement errorAllan C Just, Yang Liu, Meytar Sorek-Hamer, et al.
Nature Communications|December 15, 2023
First close insight into global daily gapless 1 km PM<sub>2.5</sub> pollution, variability, and health impactJing Wei, Zhanqing Li, Alexei Lyapustin, et al.
The Science of the Total Environment|May 9, 2020
Estimating daily PM<sub>2.5</sub> concentrations in New York City at the neighborhood-scale: Implications for integrating non-regulatory measurementsKeyong Huang, Jianzhao Bi, Xia Meng, et al.
Atmospheric Environment (Oxford, England : 1994)|October 3, 2017
A New Hybrid Spatio-Temporal Model For Estimating Daily Multi-Year PM<sub>2.5</sub> Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth DataItai Kloog, Alexandra A Chudnovsky, Allan C Just, et al.
Environmental Science & Technology|March 9, 2016
Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and MonitorsAaron van Donkelaar, Randall V Martin, Michael Brauer, et al.
Environmental Science & Technology|June 11, 2015
Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico CityAllan C Just, Robert O Wright, Joel Schwartz, et al.
Pageof 5

Showing results (21-30 of 46) with videos related to

Sort By:
Pageof 5
Journal of Exposure Science & Environmental Epidemiology|June 18, 2015
Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003-2011Mihye Lee, Itai Kloog, Alexandra Chudnovsky, et al.
The Science of the Total Environment|August 27, 2025
Statistical downscaling of coarse-resolution fine particulate matter predictions over the contiguous United States: model development, evaluation, and implication in health impact assessmentKiarash Farzad, Yang Zhang, Kai Wang, et al.
ACS ES&T Air|October 16, 2025
Effects of Fire Plume Height on the Geophysical Estimation of Surface Fine Particulate Matter from Satellite Aerosol Optical Depth during North American WildfiresInderjeet Singh, Randall V Martin, Aaron van Donkelaar, et al.
Atmospheric Environment (Oxford, England : 1994)|October 3, 2017
Estimating daily PM<sub>2.5</sub> and PM<sub>10</sub> across the complex geo-climate region of Israel using MAIAC satellite-based AOD dataItai Kloog, Meytar Sorek-Hamer, Alexei Lyapustin, et al.
Atmospheric Measurement Techniques|November 16, 2020
Gradient boosting machine learning to improve satellite-derived column water vapor measurement errorAllan C Just, Yang Liu, Meytar Sorek-Hamer, et al.
Nature Communications|December 15, 2023
First close insight into global daily gapless 1 km PM<sub>2.5</sub> pollution, variability, and health impactJing Wei, Zhanqing Li, Alexei Lyapustin, et al.
The Science of the Total Environment|May 9, 2020
Estimating daily PM<sub>2.5</sub> concentrations in New York City at the neighborhood-scale: Implications for integrating non-regulatory measurementsKeyong Huang, Jianzhao Bi, Xia Meng, et al.
Atmospheric Environment (Oxford, England : 1994)|October 3, 2017
A New Hybrid Spatio-Temporal Model For Estimating Daily Multi-Year PM<sub>2.5</sub> Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth DataItai Kloog, Alexandra A Chudnovsky, Allan C Just, et al.
Environmental Science & Technology|March 9, 2016
Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and MonitorsAaron van Donkelaar, Randall V Martin, Michael Brauer, et al.
Environmental Science & Technology|June 11, 2015
Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico CityAllan C Just, Robert O Wright, Joel Schwartz, et al.
Pageof 5