Lyapustin, A.[Alexei]
* 2016: Amazon Forests' Response to Droughts: A Perspective from the MAIAC Product
* 2017: Progress in Remote Sensing of Photosynthetic Activity over the Amazon Basin
* 2017: Prototyping of LAI and FPAR Retrievals from MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) Data
* 2018: Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM2.5 in the Northeastern USA
* 2018: Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data
* 2018: Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data
* 2018: Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000-2015): Insights for remote sensing and climate analysis
* 2019: First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI
* 2020: Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods
* 2020: Seasonal Comparisons of Himawari-8 AHI and MODIS Vegetation Indices over Latitudinal Australian Grassland Sites
* 2022: Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S.
* 2022: Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations, A
Includes: Lyapustin, A.[Alexei] Lyapustin, A.[Alexi]
12 for Lyapustin, A.
Lyapustin, A.I.
* 2001: Three-dimensional effects in the remote sensing of surface albedo
* 2016: In Memorium: Thomas Hilker
* 2017: Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series
* 2022: Intercomparison of Aerosol Types Reported as Part of Aerosol Product Retrieval over Diverse Geographic Regions
Includes: Lyapustin, A.I. Lyapustin, A.I.[Alexei I.]