| 2019-12-10 | A big data-driven model for water quality estimation with high spectral and spatial resolution imagery | Pyo, JongCheol; Duan, Hongtao; Baek, Sangsoo; Jean, Taeyun; Kim, Moon Sung; Kwon, Yongsung; Lee, Hyuk; Cho, Kyung Hwa | CONFERENCE | 113 |
| 2019-11 | A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery | Pyo, JongCheol; Duan, Hongtao; Baek, Sangsoo; Kim, Moon Sung; Jeon, Taegyun; Kwon, Yong Sung; Lee, Hyuk; Cho, Kyung Hwa | ARTICLE | 517 |
| 2019-12-09 | An enhanced water quality module of the SWMM model for evaluating Low Impact Development (LID) in Urban area | Baek, Sangsoo; Ligaray, Mayzonee; Pyo, JongCheol; Park, Jong-Pyo; Kang, Joo-Hyon; Chnn, Jong A; Cho, Kyung Hwa; Hong, Seokmin | CONFERENCE | 92 |
| 2020-03 | An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery | Pyo, JongCheol; Duan, Hongtao; Ligaray, Mayzonee; Kim, Minjeong; Baek, Sangsoo; Kwon, Yong Sung; Lee, Hyuk; Kang, Taegu; Kim, Kyunghyun; Cha, YoonKyung; Cho, Kyung Hwa | ARTICLE | 1180 |
| 2019-10-30 | Application of drone-based hyperspectral imagery and vertical cumulative pigment concentration for cyanobacterial pigment estimation | Kwon, Yong Sung; Pyo, JongCheol; Kwon, Yong-Hwan; Duan, Hongtao; Cho, Kyung Hwa; Park, Yongeun | CONFERENCE | 51 |
| 2017-11-17 | Chlorophyll-a and Phycocyanin estimation with optimization of bio-optical algorithm in inland waters in Korea | Pyo, JongCheol; Pachepsky, Yakov; Baek, Sang Soo; Kwon, YongSeong; Kim, MinJeong; Lee, Hyuck; Park, Sanghyun; Cha, YoonKyung; Ha, Rim; Nam, Gibeom; Park, Yongeun; Cho, Kyung Hwa | CONFERENCE | 45 |
| 2016-02 | Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea | Pyo, JongCheol; Ha, SeongHyeon; Yakov A. Pachepsky; Lee, Hyuk; Ha, Rim; Nam, Gibeom; Kim. Moon S.; Im, Jungho; Cho, Kyung Hwa | ARTICLE | 693 |
| 2020-11-13 | Convolutional neural network for estimating vertical profiles of harmful cyanobacteria using drone-borne hyperspectral image in lake water | Hong, Seok Min; Baek, Sang-Soo; Yun, Daeun; Kwon, Yong-Hwan; Pyo, JongCheol; Cho, Kyung Hwa | CONFERENCE | 70 |
| 2019-10 | Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration | Park, Sanghun; Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov; Park, Jongkwan; Cho, Kyung Hwa | ARTICLE | 424 |
| 2021-05 | Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling | Kim, Minjeong; Ligaray, Mayzonee; Kwon, Yong Sung; Kim, Soobin; Baek, Sangsoo; Pyo, JongCheol; Baek, Gahyun; Shin, Jingyeong; Kim, Jaai; Lee, Changsoo; Kim, Young Mo; Cho, Kyung Hwa | ARTICLE | 8 |
| 2016-10-25 | Developing a SWAT Sub-Module for Simulating Dynamics of Cyanobacteria, Green algae, and Diatom | Pyo, JongCheol; Pachepsky, Yakov A; Lee, Hyuk; Cha, YoonKyung; Park, Yongeun; Cho, Kyung Hwa | CONFERENCE | 52 |
| 2020-01 | Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir | Kwon, Yong Sung; Pyo, JongCheol; Kwon, Yong-Hwan; Duan, Hongtao; Cho, Kyung Hwa; Park, Yongeun | ARTICLE | 397 |
| 2019-10-30 | Estimation of harmful algae using deep learning with hyperspectral images | Pyo, JongCheol; Duan, Hongtao; Baek, Sangsoo; Jeon, Taegyun; Kwon, Yong Sung; Lee, Hyuk; Cho, Kyung Hwa | CONFERENCE | 58 |
| 2020-11 | Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil | Pyo, JongCheol; Hong, Seok Min; Kwon, Yong Sung; Kim, Moon Sung; Cho, Kyung Hwa | ARTICLE | 71 |
| 2020-11-27 | Estimation of soil heavy metals using deep neural network | Pyo, JongCheol; Hong, Seok Min; Kwon, Yong Sung; Kim, Moon Sung; Cho, Kyung Hwa | CONFERENCE | 29 |
| 2017-12 | Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, Korea | Park, Yongeun; Pyo, JongCheol; Kown, Yong Sung; Cha, YoonKyung; Lee, Hyuk; Kang, Taegu; Cho, Kyung Hwa | ARTICLE | 695 |
| 2019-12-12 | Global Sensitivity Analysis (GSA) with Hyper-Spectral Image (HSI) in the EFDC Water Quality Modelling | Kim, Subin; Yun, Daeun; Cho, Kyung Hwa; Baek, Sangsoo; Pyo, JongCheol; Kwon, Yongsung | CONFERENCE | 87 |
| 2020-11-12 | Harmful algae prediction using deep neural network | Pyo, JongCheol; Park, Lan Joo; Yakov, Pachepsky; Baek, Sang-Soo; Kim, Kyunghyun; Cho, Kyung Hwa | CONFERENCE | 33 |
| 2020-08 | Harmful algal bloom sensing and modeling in inland water | Cho, Kyung Hwa; Pyo, JongCheol | Doctoral thesis | 75 |
| 2020-08 | Identification and enumeration of cyanobacteria species using a deep neural network | Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov; Park, Yongeun; Ligaray, Mayzonee; Ahn, Chi-Yong; Kim, Young-Hyo; Chun, Jong Ahn; Cho, Kyung Hwa | ARTICLE | 170 |
