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; 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
Reference
- 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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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
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 StyleJang, 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 StyleJang, 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

