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Remote Sensing
Volume 13
Issue 3
10.3390/rs13030467
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Erratum to Remote Sens. 2020, 12(22), 3825.
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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

by
Xingming Liang
1,* and
Quanhua (Mark) Liu
2
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
Submission received: 25 January 2021 / Accepted: 26 January 2021 / Published: 29 January 2021
Versions Notes
The authors would like to make the following correction of [1]:
In the original article, Reference 28 was incorrect, because Part 1 was accepted by Remote Sensing later than Part 2, but the title of Part 1 was changed during the review. It should be changed from
Liang, X.; Liu, Q. Development of Fast and Robust Clear-sky Mask for VIIRS using Deep Neural Network. Remote Sens. under review.
into:
Liang, X.; Liu, Q. Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model—Part 1: Develop AI-Based Clear-Sky Mask. Remote Sens. 2021, 13, 222.

Conflicts of Interest

The authors declare no conflict of interest.

Reference

  1. Liang, X.; Liu, Q. 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. [Google Scholar] [CrossRef]
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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 (Mark) 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

APA Style

Liang, X., & Liu, Q. (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(3), 467. https://doi.org/10.3390/rs13030467

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