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Alexander Marshak

Showing results (1-10 of 17) with videos related to

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Journal of Quantitative Spectroscopy & Radiative Transfer|September 5, 2017
The spectral invariant approximation within canopy radiative transfer to support the use of the EPIC/DSCOVR oxygen B-band for monitoring vegetationAlexander Marshak, Yuri Knyazikhin
Entropy (Basel, Switzerland)|December 3, 2020
Approximate Entropy and Sample Entropy: A Comprehensive TutorialAlfonso Delgado-Bonal, Alexander Marshak
Atmospheric Measurement Techniques|August 5, 2020
Calibration of the DSCOVR EPIC visible and NIR channels using MODIS Terra and Aqua data and EPIC lunar observationsIgor V Geogdzhayev, Alexander Marshak
Journal of Geophysical Research. Atmospheres : JGR|August 4, 2020
Testing the Two-Layer Model for Correcting Near Cloud Reflectance Enhancement Using LES/SHDOM Simulated RadiancesGuoyong Wen, Alexander Marshak, Tamás Várnai, et al.
Remote Sensing|October 22, 2019
EPIC Spectral Observations of Variability in Earth's Global ReflectanceWeidong Yang, Alexander Marshak, Tamás Várnai, et al.
Scientific Reports|January 24, 2020
Analyzing changes in the complexity of climate in the last four decades using MERRA-2 radiation dataAlfonso Delgado-Bonal, Alexander Marshak, Yuekui Yang, et al.
Journal of Quantitative Spectroscopy & Radiative Transfer|April 12, 2018
Snow Grain Size Retrieval over the Polar Ice Sheets with the Ice, Cloud, and land Elevation Satellite (ICESat) ObservationsYuekui Yang, Alexander Marshak, Mei Han, et al.
Journal of the Atmospheric Sciences|July 15, 2020
New Statistical Model for Variability of Aerosol Optical Thickness: Theory and Application to MODIS Data over OceanMikhail D Alexandrov, Igor V Geogdzhayev, Kostas Tsigaridis, et al.
Geophysical Research Letters|July 15, 2020
Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: first results from EPIC/DSCOVR at Lagrange-1 pointXiaoguang Xu, Jun Wang, Yi Wang, et al.
Geophysical Research Letters|December 30, 2022
Near-Cloud Aerosol Retrieval Using Machine Learning Techniques, and Implied Direct Radiative EffectsC Kevin Yang, J Christine Chiu, Alexander Marshak, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Quantitative Spectroscopy & Radiative Transfer|September 5, 2017
The spectral invariant approximation within canopy radiative transfer to support the use of the EPIC/DSCOVR oxygen B-band for monitoring vegetationAlexander Marshak, Yuri Knyazikhin
Entropy (Basel, Switzerland)|December 3, 2020
Approximate Entropy and Sample Entropy: A Comprehensive TutorialAlfonso Delgado-Bonal, Alexander Marshak
Atmospheric Measurement Techniques|August 5, 2020
Calibration of the DSCOVR EPIC visible and NIR channels using MODIS Terra and Aqua data and EPIC lunar observationsIgor V Geogdzhayev, Alexander Marshak
Journal of Geophysical Research. Atmospheres : JGR|August 4, 2020
Testing the Two-Layer Model for Correcting Near Cloud Reflectance Enhancement Using LES/SHDOM Simulated RadiancesGuoyong Wen, Alexander Marshak, Tamás Várnai, et al.
Remote Sensing|October 22, 2019
EPIC Spectral Observations of Variability in Earth's Global ReflectanceWeidong Yang, Alexander Marshak, Tamás Várnai, et al.
Scientific Reports|January 24, 2020
Analyzing changes in the complexity of climate in the last four decades using MERRA-2 radiation dataAlfonso Delgado-Bonal, Alexander Marshak, Yuekui Yang, et al.
Journal of Quantitative Spectroscopy & Radiative Transfer|April 12, 2018
Snow Grain Size Retrieval over the Polar Ice Sheets with the Ice, Cloud, and land Elevation Satellite (ICESat) ObservationsYuekui Yang, Alexander Marshak, Mei Han, et al.
Journal of the Atmospheric Sciences|July 15, 2020
New Statistical Model for Variability of Aerosol Optical Thickness: Theory and Application to MODIS Data over OceanMikhail D Alexandrov, Igor V Geogdzhayev, Kostas Tsigaridis, et al.
Geophysical Research Letters|July 15, 2020
Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: first results from EPIC/DSCOVR at Lagrange-1 pointXiaoguang Xu, Jun Wang, Yi Wang, et al.
Geophysical Research Letters|December 30, 2022
Near-Cloud Aerosol Retrieval Using Machine Learning Techniques, and Implied Direct Radiative EffectsC Kevin Yang, J Christine Chiu, Alexander Marshak, et al.
Pageof 2