| Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage JC Pyo, KH Cho, K Kim, SS Baek, G Nam, S Park Water Research 203, 117483, 2021 | 37 | 2021 |
| Deep learning-based retrieval of cyanobacteria pigment in inland water for in-situ and airborne hyperspectral data I Yim, J Shin, H Lee, S Park, G Nam, T Kang, KH Cho, YK Cha Ecological indicators 110, 105879, 2020 | 24 | 2020 |
| Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea JC Pyo, Y Pachepsky, SS Baek, YS Kwon, MJ Kim, H Lee, S Park, YK Cha, ... Remote Sensing 9 (6), 542, 2017 | 24 | 2017 |
| Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam … JC Pyo, SH Ha, YA Pachepsky, H Lee, R Ha, G Nam, MS Kim, J Im, ... Remote Sensing Letters 7 (5), 407-416, 2016 | 19 | 2016 |
| Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models JC Pyo, YS Kwon, JH Min, G Nam, YS Song, JM Ahn, S Park, J Lee, ... Journal of Environmental Management 294, 112988, 2021 | 18 | 2021 |
| Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery SM Hong, KH Cho, S Park, T Kang, MS Kim, G Nam, JC Pyo GIScience & Remote Sensing 59 (1), 547-567, 2022 | 14 | 2022 |
| Predicting cyanobacterial blooms using hyperspectral images in a regulated river JM Ahn, B Kim, J Jong, G Nam, LJ Park, S Park, T Kang, JK Lee, J Kim Sensors 21 (2), 530, 2021 | 13 | 2021 |
| Improvement of model based on inherent optical properties for remote sensing of cyanobacterial bloom R Ha, G Nam, S Park, T Kang, H Shin, K Kim, D Rhew, H Lee Korean Journal of Remote Sensing 33 (2), 111-123, 2017 | 6 | 2017 |
| A study on comparison of phycocyanin extraction methods for hyperspectral remote sensing of cyanobacteria in turbid inland waters R Ha, H Shin, G Nam, S Park, T Kang, H Song, H Lee Journal of Korean Society on Water Environment 32 (6), 520-527, 2016 | 5 | 2016 |
| Remote Estimation Models for Deriving Chlorophyll-a Concentration using Optical Properties in Turbid Inland Waters: Application and Valuation H Lee, T Kang, G Nam, R Ha, K Cho Journal of Korean Society on Water Environment 31 (3), 272-285, 2015 | 5 | 2015 |
| Quantification of phycocyanin in inland waters through remote measurement of ratios and shifts in reflection spectral peaks G Nam, H Shin, R Ha, H Song, J Yoo, H Lee, S Park, T Kang, K Kim Remote Sensing 13 (16), 3335, 2021 | 2 | 2021 |
| Development of a tetrahydroindazolone-based HDAC6 inhibitor with in-vivo anti-arthritic activity HM Yang, C Lee, J Min, N Ha, D Bae, G Nam, HJ Park Bioorganic & Medicinal Chemistry 99, 117587, 2024 | 1 | 2024 |
| Deep learning-based super-resolution for harmful algal bloom monitoring of inland water DH Kwon, SM Hong, A Abbas, S Park, G Nam, JH Yoo, K Kim, HT Kim, ... GIScience & Remote Sensing 60 (1), 2249753, 2023 | 1 | 2023 |
| Estimating Chlorophyll-a Concentration using Spectral Mixture Analysis from RapidEye Imagery in Nak-dong River Basin H Lee, G Nam, T Kang, S Yoon Journal of Korean Society on Water Environment 30 (3), 329-339, 2014 | 1 | 2014 |
| Enhancement of Spatial resolution with Deep Learning-based Super-Resolution models for Inland Harmful Algal Bloom (HABs) monitoring DH Kwon, S Hong, A Abbas, S Park, G Nam, JH Yoo, K Kim, JC Pyo, ... AGU Fall Meeting Abstracts 2022, H15J-0916, 2022 | | 2022 |
| A Study on Model Improvement using Inherent Optical Properties for Remote Sensing of Cyanobacterial Bloom on Rivers in Korea R Ha, G Nam, S Park, H Shin, H Lee, T Kang, J Lee Journal of Korean Society on Water Environment 35 (6), 589-597, 2019 | | 2019 |
| Chlorophyll-a and Phycocyanin estimation with optimization of bio-optical algorithm in inland waters in Korea JC Pyo, Y Pachepsky, SS Baek, YS Kwon, MJ Kim, H Lee, S Park, YK Cha, ... Korean Society of Environmental Engineers, 2017 | | 2017 |
| 대한민국 의암호의 세 가지 분광알고리즘을 사용한 클로로필 a 농도 산정: 클로로필 a 저농도 구간 보정 연구 J Pyo, YA Pachepsky, R Ha, MS Kim, KH Cho 공동 춘계학술발표회 (2000~) 2016, 660-661, 2016 | | 2016 |
| A Methodological Approach to Estimate the Mass Specific Coefficients in Optical algorithms for Chlorophyll-a in Yiam Reservoir, Korea JC Pyo, SH Ha, YA Pachepsky, H Lee, R Ha, G Nam, J Im, KH Cho 2015 Intermational Environmental Engineering Conference (IEEC), 2015 | | 2015 |
| Chlorophyll-a concentration estimation with three bio-optical algorithms: correction for the low concentration range for the Yiam Reservoir, Korea JC Pyo, YA Pachepsky, R Ha, MS Kim, KH Cho 공동 춘계학술발표회 (2000~) 2015, 209-210, 2015 | | 2015 |
