Y. Kwon

发表

A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery

M. Kim, Hyuk Lee, K. Cho, 2019, Remote Sensing of Environment.

Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)

J. Im, K. Cho, Yongeun Park, 2018 .

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

K. Cho, Yongeun Park, J. Pyo, 2020 .

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

M. Kim, K. Cho, J. Pyo, 2020, The Science of the total environment.

Modeling the distribution of invasive species (Ambrosia spp.) using regression kriging and Maxent

Y. Kwon, J. Park, Ki-Hwan Cho, 2022, Frontiers in Ecology and Evolution.

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

K. Cho, Sang-Soo Baek, J. Pyo, 2021, Harmful algae.

Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea.

Taegu Kang, Kyung Hwa Cho, YoonKyung Cha, 2017, Water research.

Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model

K. Cho, H. Oh, Sang-Soo Baek, 2021, Frontiers in Marine Science.

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

Kyung Hwa Cho, Jung Min Ahn, Sang-Soo Baek, 2021, Environ. Model. Softw..

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

Jae-Hyun Ahn, Kyung Hwa Cho, Sang-Soo Baek, 2021, Remote. Sens..

Developing a hydrological simulation tool to design bioretention in a watershed

Hyun-Suk Shin, Yongsung Kwon, Kyung Hwa Cho, 2017, Environ. Model. Softw..

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

K. Cho, Mayzonee Ligaray, Minjeong Kim, 2020, Journal of hazardous materials.

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

K. Cho, Yongeun Park, Mayzonee Ligaray, 2018, Water.

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

Hyuk Lee, Kyunghyun Kim, Kyung Hwa Cho, 2020, Remote. Sens..

High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery

Hyuk Lee, Myoung Hwan Ahn, Kyunghyun Kim, 2018, Remote. Sens..

Data assimilation in surface water quality modeling: A review.

Kyung Hyun Kim, Kyung Hwa Cho, Yakov Pachepsky, 2020, Water research.

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

Sanghyung Park, Gibeom Nam, K. Cho, 2021, Journal of environmental management.