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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 Paper Issue Date2019-12-10 View12

A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery File

Pyo, JongCheol , Duan, Hongtao , Baek, Sangsoo , Kim, Moon Sung , Jeon, Taegyun , Kwon, Yong Sung , Lee, Hyuk , Cho, Kyung Hwa

Article Issue Date2019-11 View3

A novel method for micropollutant quantification using deep learning and multi-objective optimization File

Yun, Daeun , Kang, Daeho , Jang, Jiyi , Angeles, Anne Therese , Pyo, JongCheol , Jeon, Junho , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2022-04 View5

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 Paper Issue Date2019-12-09 View7

An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery File File

Pyo, JongCheol , Duan, Hongtao , Ligaray, Mayzonee , Kim, Minjeong , Baek, Sangsoo , Kwon, Yong Sung , Lee, Hyuk , Kang, Taegu , Kim, Kyunghyun , Cha, YoonKyung , et al

Article Issue Date2020-03 View5

Analysis of micropollutants in a marine outfall using network analysis and decision tree File

Baek, Sang-Soo , Yun, Daeun , Pyo, JongCheol , Kang, Daeho , Cho, Kyung Hwa , Jeon, Junho

Article Issue Date2022-02 View7

Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir File File

Kim, Jinuk , Jang, Wonjin , Kim, Jin Hwi , Lee, Jiwan , Cho, Kyung Hwa , Lee, Yong-Gu , Chon, Kangmin , Park, Sanghyun , Pyo, JongCheol , Park, Yongeun , et al

Article Issue Date2022-11 View6

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 Paper Issue Date2019-10-30 View4

Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea File

Ly, Quang Viet , Nguyen, Xuan Cuong , Lê, Ngoc C. , Truong, Tien-Dung , Hoang, Thu-Huong T. , Park, Tae Jun , Maqbool, Tahir , Pyo, JongCheol , Cho, Kyung Hwa , Lee, Kwang-Sik , et al

Article Issue Date2021-11 View8

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 , et al

Conference Paper Issue Date2017-11-17 View3

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 File

Pyo, JongCheol , Ha, SeongHyeon , Yakov A. Pachepsky , Lee, Hyuk , Ha, Rim , Nam, Gibeom , Kim. Moon S. , Im, Jungho , Cho, Kyung Hwa

Article Issue Date2016-02 View4

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 Paper Issue Date2020-11-13 View10

Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage File

Pyo, JongCheol , Cho, Kyung Hwa , Kim, Kyunghyun , Baek, Sang-Soo , Nam, Gibeom , Park, Sanghyun

Article Issue Date2021-09 View9

Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model File File

Baek, Sang-Soo , Pyo, JongCheol , Kwon, Yong Sung , Chun, Seong-Jun , Baek, Seung Ho , Ahn, Chi-Yong , Oh, Hee-Mock , Kim, Young Ok , Cho, Kyung Hwa

Article Issue Date2021-10 View9

Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration File

Park, Sanghun , Baek, Sang-Soo , Pyo, JongCheol , Pachepsky, Yakov , Park, Jongkwan , Cho, Kyung Hwa

Article Issue Date2019-10 View13

Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling File

Kim, Minjeong , Ligaray, Mayzonee , Kwon, Yong Sung , Kim, Soobin , Baek, Sangsoo , Pyo, JongCheol , Baek, Gahyun , Shin, Jingyeong , Kim, Jaai , Lee, Changsoo , et al

Article Issue Date2021-05 View6

Developing a cloud-based toolbox for sensitivity analysis of a water quality model File

Kim, Soobin , Kwon, Yong Sung , Pyo, JongCheol , Ligaray, Mayzonee , Min, Joong-Hyuk , Ahn, Jung Min , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2021-07 View6

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 Paper Issue Date2016-10-25 View3

Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir File

Kwon, Yong Sung , Pyo, JongCheol , Kwon, Yong-Hwan , Duan, Hongtao , Cho, Kyung Hwa , Park, Yongeun

Article Issue Date2020-01 View9

Drone-borne sensing of major and accessory pigments in algae using deep learning modeling File File

Pyo, JongCheol , Hong, Seok Min , Jang, Jiyi , Park, Sanghun , Park, Jongkwan , Noh, Jae Hoon , Cho, Kyung Hwa

Article Issue Date2022-01 View5

Dynamic calibration of phytoplankton blooms using the modified SWAT model File

Lee, Jiye , Woo, So-Young , Kim, Yong-Won , Kim, Seong-Joon , Pyo, JongCheol , Cho, Kyung Hwa

Article Issue Date2022-04 View6

Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models File

Pyo, JongCheol , Kwon, Yong Sung , Min, Joong-Hyuk , Nam, Gibeom , Song, Yong-Sik , Ahn, Jung Min , Park, Sanghyun , Lee, Jeongwon , Cho, Kyung Hwa , Park, Yongeun

Article Issue Date2021-09 View10

Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery File File

Hong, Seok Min , Cho, Kyung Hwa , Park, Sanghyun , Kang, Taegu , Kim, Moon Sung , Nam, Gibeom , Pyo, JongCheol

Article Issue Date2022-12 View5

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 Paper Issue Date2019-10-30 View8

Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil File

Pyo, JongCheol , Hong, Seok Min , Kwon, Yong Sung , Kim, Moon Sung , Cho, Kyung Hwa

Article Issue Date2020-11 View3

Estimation of soil heavy metals using deep neural network

Pyo, JongCheol , Hong, Seok Min , Kwon, Yong Sung , Kim, Moon Sung , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-27 View11

Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, Korea File

Park, Yongeun , Pyo, JongCheol , Kown, Yong Sung , Cha, YoonKyung , Lee, Hyuk , Kang, Taegu , Cho, Kyung Hwa

Article Issue Date2017-12 View5

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 Paper Issue Date2019-12-12 View10

Harmful algae prediction using deep neural network

Pyo, JongCheol , Park, Lan Joo , Yakov, Pachepsky , Baek, Sang-Soo , Kim, Kyunghyun , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-12 View8

Harmful algal bloom sensing and modeling in inland water File

Pyo, JongCheol

Thesis Issue Date2020-08 View5

Hierarchical deep learning model to simulate phytoplankton at phylum/ class and genus levels and zooplankton at the genus level File

Baek, Sang-Soo , Jung, Eun-Young , Pyo, JongCheol , Pachepsky, Yakov , Son, Heejong , Cho, Kyung Hwa

Article Issue Date2022-06 View6

Identification and enumeration of cyanobacteria species using a deep neural network File

Baek, Sang-Soo , Pyo, JongCheol , Pachepsky, Yakov , Park, Yongeun , Ligaray, Mayzonee , Ahn, Chi-Yong , Kim, Young-Hyo , Chun, Jong Ahn , Cho, Kyung Hwa

Article Issue Date2020-08 View5

Identification of influencing factors of A. catenella bloom using machine learning and numerical simulation File

Baek, Sang-Soo , Kwon, Yong Sung , Pyo, JongCheol , Choi, Jungmin , Kim, Young Ok , Cho, Kyung Hwa

Article Issue Date2021-03 View5

Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning File File

Kwon, Do Hyuck , Hong, Seok Min , Abbas, Ather , Pyo, JongCheol , Lee, Hyung-Kun , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2023-02 View4

Insight study of the bio-optical algorithms for chlorophyll-a and cyanobacteria with sensitivity analysis and multi-objective algorithm

Pyo, JongCheol , Baek, SangSoo , Park, SangHun , Kwon, YongSung , Kim, MinJeong , Ligaray, Mayzonee , Yoon, SeongHyun , Sin, Jihun , Park, Yongeun , Cha, YoonKyung , et al

Conference Paper Issue Date2017-04-24 View3

Long short-term memory models of water quality in inland water environments File File

Pyo, JongCheol , Pachepsky, Yakov , Kim, Soobin , Abbas, Ather , Kim, Minjeong , Kwon, Yong Sung , Ligaray, Mayzonee , Cho, Kyung Hwa

Article Issue Date2023-12 View5

Modeling seasonal variability of fecal coliform in natural surface waters using the modified SWAT File

Cho, Kyung Hwa , Pachepsky, Yakov A. , Kim, Minjeong , Pyo, JongCheol , Park, Mi-Hyun , Kim, YongMo , Kim, Jung-Woo , Kim, JoonHa

Article Issue Date2016-04 View4

Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models File File

Kwon, Yong Sung , Baek, Seung Ho , Lim, Young Kyun , Pyo, JongCheol , Ligaray, Mayzonee , Park, Yongeun , Cho, Kyung Hwa

Article Issue Date2018-08 View5

Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models File

Hong, Seok Min , Baek,Sang-Soo , Yun, Daeun , Kwon, Yong-Hwan , Duan, Hongtao , Pyo, JongCheol , Cho, Kyung Hwa

Article Issue Date2021-11 View8

Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach File File

Jang, Wonjin , Park, Yongeun , Pyo, JongCheol , Park, Sanghyun , Kim, Jinuk , Kim, Jin Hwi , Cho, Kyung Hwa , Shin, Jae-Ki , Kim, Seongjoon

Article Issue Date2022-04 View4

Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea File File

Pyo, JongCheol , Pachepsky, Yakov , Baek, Sang-Soo , Kwon, YongSeong , Kim, MinJeong , Lee, Hyuk , Park, Sanghyun , Cha, YoonKyung , Park, Yongeun , Cho, Kyung Hwa

Article Issue Date2017-06 View5

Replacing the internal standard to estimate micropollutants using deep and machine learning File

Baek, Sang-Soo , Choi, Younghun , Jeon, Junho , Pyo, JongCheol , Park, Jongkwan , Cho, Kyung Hwa

Article Issue Date2021-01 View3

Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water File File

Pyo, JongCheol , Kwon, Yong Sung , Ahn, Jae-Hyun , Baek, Sang-Soo , Kwon, Yong-Hwan , Cho, Kyung Hwa

Article Issue Date2021-02 View5

Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model File

Pyo, JongCheol , Pachepsky, Yakov A. , Kim, Minjeong , Baek, Sang-Soo , Lee, Hyuk , Cha, YoonKyung , Park, Yongeun , Cho, Kyung Hwa

Article Issue Date2019-12 View4

Using convolutional neural network for predicting cyanobacteria concentrations in river water File

Pyo, JongCheol , Park, Lan Joo , Pachepsky, Yakov , Baek, Sang-Soo , Kim, Kyunghyun , Cho, Kyung Hwa

Article Issue Date2020-11 View6

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