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Correction

Correction: Jang et al. Automated Machine Learning for High-Resolution Daily and Hourly Methane Emission Mapping for Rice Paddies over South Korea: Integrating MODIS, ERA5-Land, and Soil Data. Remote Sens. 2026, 18, 753

1
Major of Geomatics Engineering, Division of Earth and Environmental System Sciences, Pukyong National University, Busan 48513, Republic of Korea
2
Institute for Earth, Computing, Human and Observing (ECHO), Chapman University, Orange, CA 92866, USA
3
Department of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea
4
Department of Environmental Science & Environmental Engineering, Kyung Hee University, Yongin 17104, Republic of Korea
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(15), 2485; https://doi.org/10.3390/rs18152485
Submission received: 28 May 2026 / Accepted: 2 June 2026 / Published: 30 July 2026
Authorship Correction
In the published publication [1], following consultation and unanimous agreement among all authors, author Prof. Sujong Jeong has requested to be removed from the authorship list due to limited contribution to the work. The revised authorship and affiliations are as follows:
Jiah Jang 1, Seung Hee Kim 2, Menas Kafatos 2, Jaeil Cho 3, Gayoung Yoo 4 and Yangwon Lee 1,*
1 
Major of Geomatics Engineering, Division of Earth and Environmental System Sciences, Pukyong National University, Busan 48513, Republic of Korea; veinejj@pukyong.ac.kr
2 
Institute for Earth, Computing, Human and Observing (ECHO), Chapman University, Orange, CA 92866, USA; sekim@chapman.edu (S.H.K.); kafatos@chapman.edu (M.K.)
3 
Department of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea; chojaeil@jnu.ac.kr
4 
Department of Environmental Science & Environmental Engineering, Kyung Hee University, Yongin 17104, Republic of Korea; gayoo@khu.ac.kr
Correspondence: modconfi@pknu.ac.kr
The “Author Contributions” section will also be updated to the following. Author Contributions: Conceptualization, J.J. and Y.L.; methodology, J.J. and Y.L.; formal analysis, J.J.; data curation, J.J.; writing—original draft preparation, J.J.; writing—review and editing, S.H.K., M.K., J.C., G.Y. and Y.L.; supervision, Y.L. All authors have read and agreed to the published version of the manuscript.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Jang, J.; Kim, S.H.; Kafatos, M.; Cho, J.; Yoo, G.; Lee, Y. Automated Machine Learning for High-Resolution Daily and Hourly Methane Emission Mapping for Rice Paddies over South Korea: Integrating MODIS, ERA5-Land, and Soil Data. Remote Sens. 2026, 18, 753. [Google Scholar] [CrossRef] [Scilit]
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MDPI and ACS Style

Jang, J.; Kim, S.H.; Kafatos, M.; Cho, J.; Yoo, G.; Lee, Y. Correction: Jang et al. Automated Machine Learning for High-Resolution Daily and Hourly Methane Emission Mapping for Rice Paddies over South Korea: Integrating MODIS, ERA5-Land, and Soil Data. Remote Sens. 2026, 18, 753. Remote Sens. 2026, 18, 2485. https://doi.org/10.3390/rs18152485

AMA Style

Jang J, Kim SH, Kafatos M, Cho J, Yoo G, Lee Y. Correction: Jang et al. Automated Machine Learning for High-Resolution Daily and Hourly Methane Emission Mapping for Rice Paddies over South Korea: Integrating MODIS, ERA5-Land, and Soil Data. Remote Sens. 2026, 18, 753. Remote Sensing. 2026; 18(15):2485. https://doi.org/10.3390/rs18152485

Chicago/Turabian Style

Jang, Jiah, Seung Hee Kim, Menas Kafatos, Jaeil Cho, Gayoung Yoo, and Yangwon Lee. 2026. "Correction: Jang et al. Automated Machine Learning for High-Resolution Daily and Hourly Methane Emission Mapping for Rice Paddies over South Korea: Integrating MODIS, ERA5-Land, and Soil Data. Remote Sens. 2026, 18, 753" Remote Sensing 18, no. 15: 2485. https://doi.org/10.3390/rs18152485

APA Style

Jang, J., Kim, S. H., Kafatos, M., Cho, J., Yoo, G., & Lee, Y. (2026). Correction: Jang et al. Automated Machine Learning for High-Resolution Daily and Hourly Methane Emission Mapping for Rice Paddies over South Korea: Integrating MODIS, ERA5-Land, and Soil Data. Remote Sens. 2026, 18, 753. Remote Sensing, 18(15), 2485. https://doi.org/10.3390/rs18152485

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