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Kyung Hwa Cho
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2020 – today
- 2024
- [j12]Hyo Gyeom Kim, Kyung Hwa Cho, Friedrich Recknagel:
Bibliometric network analysis of scientific research on early warning signals for cyanobacterial blooms in lakes and rivers. Ecol. Informatics 80: 102503 (2024) - 2023
- [j11]Jiyi Jang, Ather Abbas, Hyein Kim, Chaeyoung Rhee, Seung Gu Shin, Jong Ahn Chun, Sangsoo Baek, Kyung Hwa Cho:
Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms. Ecol. Informatics 78: 102370 (2023) - [j10]Seok Min Hong, Ather Abbas
, Soobin Kim, Do Hyuck Kwon, Nakyung Yoon, Daeun Yun, Sanguk Lee, Yakov Pachepsky, JongCheol Pyo
Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system. Environ. Model. Softw. 168: 105805 (2023) - 2022
- [j9]Jinuk Kim, Wonjin Jang, Jin Hwi Kim, Jiwan Lee, Kyung Hwa Cho, Yong-Gu Lee
Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir. Int. J. Appl. Earth Obs. Geoinformation 114: 103053 (2022) - [j8]Wonjin Jang
Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach. Remote. Sens. 14(7): 1754 (2022) - 2021
- [j7]Soobin Kim, Yong Sung Kwon, Jong Cheol Pyo
Developing a cloud-based toolbox for sensitivity analysis of a water quality model. Environ. Model. Softw. 141: 105068 (2021) - [j6]Jong Cheol Pyo
Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water. Remote. Sens. 13(4): 709 (2021) - 2020
- [j5]Jong Cheol Pyo
An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery. Remote. Sens. 12(7): 1073 (2020)
2010 – 2019
- 2019
- [j4]Sang-Soo Baek, Mayzonee Ligaray, Jong-Pyo Park, Hyun-Suk Shin, Yong Sung Kwon, Joseph T. Brascher
Developing a hydrological simulation tool to design bioretention in a watershed. Environ. Model. Softw. 122 (2019) - [j3]Jong Cheol Pyo
Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model. Environ. Model. Softw. 122 (2019) - 2018
- [j2]Jong Cheol Pyo
High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery. Remote. Sens. 10(8): 1180 (2018) - 2017
- [j1]Jong Cheol Pyo
Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea. Remote. Sens. 9(6): 542 (2017)
Coauthor Index
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