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Erratum

Erratum: Liang, X., et al. Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model—Part 2: Model Architecture and Assessment. Remote Sens. 2020, 12, 3825

1
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
2
Center for Satellite Applications and Research (STAR), National Environmental Satellite, Data, and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA), College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(3), 467; https://doi.org/10.3390/rs13030467
Received: 25 January 2021 / Accepted: 26 January 2021 / Published: 29 January 2021
Note: In lieu of an abstract, this is an excerpt from the first page.

The authors would like to make the following correction of [...] View Full-Text
MDPI and ACS Style

Liang, X.; Liu, Q. Erratum: Liang, X., et al. Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model—Part 2: Model Architecture and Assessment. Remote Sens. 2020, 12, 3825. Remote Sens. 2021, 13, 467. https://doi.org/10.3390/rs13030467

AMA Style

Liang X, Liu Q. Erratum: Liang, X., et al. Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model—Part 2: Model Architecture and Assessment. Remote Sens. 2020, 12, 3825. Remote Sensing. 2021; 13(3):467. https://doi.org/10.3390/rs13030467

Chicago/Turabian Style

Liang, Xingming, and Quanhua Liu. 2021. "Erratum: Liang, X., et al. Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model—Part 2: Model Architecture and Assessment. Remote Sens. 2020, 12, 3825" Remote Sensing 13, no. 3: 467. https://doi.org/10.3390/rs13030467

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