Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea. - Jong Cheol Pyo; Yakov Pachepsky; Sang-Soo Baek; YongSeong Kwon; Minjeong Kim; Hyuk Lee; Sanghyun Park; YoonKyung Cha; Rim Ha; Gibeom Nam; Yongeun Park; Kyung Hwa Cho (Remote. Sens., 2017)

High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery. - Jong Cheol Pyo; Mayzonee Ligaray; Yong Sung Kwon; Myoung Hwan Ahn; Kyunghyun Kim; Hyuk Lee; Taegu Kang; Seong Been Cho; Yongeun Park; Kyung Hwa Cho (Remote. Sens., 2018)

Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model. - Jong Cheol Pyo; Yakov A. Pachepsky; Minjeong Kim; Sang-Soo Baek; Hyuk Lee; YoonKyung Cha; Yongeun Park; Kyung Hwa Cho (Environ. Model. Softw., 2019)

An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery. - Jong Cheol Pyo; Hongtao Duan 001; Mayzonee Ligaray; Minjeong Kim; Sang-Soo Baek; Yong Sung Kwon; Hyuk Lee; Taegu Kang; Kyunghyun Kim; YoonKyung Cha; Kyung Hwa Cho (Remote. Sens., 2020)

Developing a cloud-based toolbox for sensitivity analysis of a water quality model. - Soobin Kim; Yong Sung Kwon; Jong Cheol Pyo; Mayzonee Ligaray; Joong-Hyuk Min; Jung Min Ahn; Sang-Soo Baek; Kyung Hwa Cho (Environ. Model. Softw., 2021)

Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water. - Jong Cheol Pyo; Yong Sung Kwon; Jae-Hyun Ahn; Sang-Soo Baek; Yong-Hwan Kwon; Kyung Hwa Cho (Remote. Sens., 2021)

Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir. - Jinuk Kim; Wonjin Jang; Jin Hwi Kim; Jiwan Lee; Kyung Hwa Cho; Yong-Gu Lee; Kangmin Chon; Sanghyun Park; Jong Cheol Pyo; Yongeun Park; Seongjoon Kim (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach. - Wonjin Jang; Yongeun Park; Jong Cheol Pyo; Sanghyun Park; Jinuk Kim; Jin Hwi Kim; Kyung Hwa Cho; Jae-Ki Shin; Seongjoon Kim (Remote. Sens., 2022)

Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system. - Seok Min Hong; Ather Abbas; Soobin Kim; Do Hyuck Kwon; Nakyung Yoon; Daeun Yun; Sanguk Lee; Yakov Pachepsky; JongCheol Pyo; Kyung Hwa Cho (Environ. Model. Softw., 2023)

Estimation of aquatic ecosystem health using deep neural network with nonlinear data mapping. - Yong Sung Kwon; Hyeongsik Kang; JongCheol Pyo (Ecol. Informatics, 2024)

Enhancing Machine Learning Performance in Estimating CDOM Absorption Coefficient via Data Resampling. - Jinuk Kim; Jin Hwi Kim; Wonjin Jang; JongCheol Pyo; Hyuk Lee; Seohyun Byeon; Hankyu Lee; Yongeun Park; Seongjoon Kim (Remote. Sens., 2024)