Open AccessErratum

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

Xingming Liang

^1,*

and

Quanhua (Mark) Liu

Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA

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

Download 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

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]

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Share and Cite

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

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

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

Conflicts of Interest

Reference

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI