Research Interest

Remote sensing of ocean (ocean color, subsurface); Salinity; Coastal environment change; Deep learning;

 

Publication

Kim, S. H., Shin, J., Kim, D. W., & Jo, Y. H. (2023). Estimation of subsurface salinity and analysis of Changjiang diluted water volume in the East China Sea. Frontiers in Marine Science.

Shin, J., Choi, J. G., Kim, S. H., Khim, B. K., & Jo, Y. H. (2022). Environmental variables affecting Sargassum distribution in the East China Sea and the Yellow Sea. Frontiers in Marine Science, 2581.

Kim, D. W., Kim, S. H., Baek, J. Y., Lee, J. S., & Jo, Y. H. (2022). GOCI-II based sea surface salinity estimation using machine learning for the first-year summer. International Journal of Remote Sensing, 43(18), 6605-6623.

Kim, D.-W., Kim, S.-H., & Jo, Y.-H. (2022). Machine Learning to Identify Three Types of Oceanic Fronts Associated with the Changjiang Diluted Water in the East China Sea between 1997 and 2021. Remote Sensing, 14(15), 3574.

Kim, D. W., Kim, S. H., & Jo, Y. H. (2021). A Development for Sea Surface Salinity Algorithm Using GOCI in the East China Sea. Korean Journal of Remote Sensing, 37(5_2), 1307-1315.

 

Awards

2023	GeoAI DAta Society (GAIDAS)	GeoAI Data Society, Spring meeting, Best student presentation award
2023	Korean Society of Oceanography (KSO)	Korean Society of Oceanography, Spring meeting, Best student poster award
2022	Korean Society of Oceanography (KSO)	Korean Society of Oceanography, Spring meeting, Best student poster award

 

Presentations

Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2023). Estimation of the Changjiang Diluted Water Volume using satellite data and deep learning techniques. GeoAI DAta Society (GAIDAS), spring meeting

(* This presentation won the best student presentation award at GAIDAS)

 

Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2023). Estimation of the Changjiang Diluted Water Volume using satellite data and deep learning techniques. Korean Society of Oceanography (KSO), spring meeting

(* This poster won the best student poster award in the division of physical oceanography at KSO)

 

Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2022). Subsurface Salinity Estimation from Sea Surface Parameters Using Convolutional Neural Network Models in the East China Sea. America Geophysical Union (AGU) 2022

 

Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2022). Subsurface Salinity Estimation from Satellite data Using CNN Model in the East China Sea. GAIDAS Fall Meeting 2022

 

Kim, S. H., Kim, D.-W., Park, Y.-J., Jo, Y. H. (2022). Estimation of sea surface salinity in the East China Sea during summer season using GOCI-II data based on machine learning. The Korean Society of Remote Sensing 2022

 

Kim, S. H., Shin, J., Park, Y.-J., Jo, Y. H. (2022). Subsurface Salinity Estimation from Satellite data Using Deep Learning Models in the East China Sea. Korean Society of Oceanography (KSO), fall meeting

 

Kim, S. H., Kim, D.-W., Jo, Y. H. (2022). Subsurface Salinity Estimation from Sea Surface Parameters Using Convolutional Neural Network Models in the East China Sea. 2022 Ocean & Atmosphere Science Interdisciplinary Studies (OASIS)

 

Kim, S. H., Kim, D.-W., Park, Y.-J., Jo, Y. H. (2022). Estimation of the Thickness of Low-Salinity Water in the East China Sea using Satellite data. Korean Society of Oceanography (KSO), spring meeting

(* This poster won the best student poster award in the division of physical oceanography at KSO)

 

Kim, S. H., Jo, Y. H. (2021). Estimation of sea surface salinity in the East China Sea during summer season using GOCI data. 2021 Ocean & Atmosphere Science Interdisciplinary Studies (OASIS)

Pusan National University M.S. 2021-2023 Oceanography (Advisor: Dr. Young-Heon Jo)
Pusan National University B.S. 2018-2021 Oceanography

2023 GeoAI DAta Society (GAIDAS) GeoAI Data Society, Spring meeting, Best student presentation award
2023 Korean Society of Oceanography (KSO) Korean Society of Oceanography, Spring meeting, Best student poster award
2022 Korean Society of Oceanography (KSO) Korean Society of Oceanography, Spring meeting, Best student poster award

Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2023). Estimation of the Changjiang Diluted Water Volume using satellite data and deep learning techniques. GeoAI DAta Society (GAIDAS), spring meeting (* This presentation won the best student presentation award at GAIDAS)

Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2023). Estimation of the Changjiang Diluted Water Volume using satellite data and deep learning techniques. Korean Society of Oceanography (KSO), spring meeting (* This poster won the best student poster award in the division of physical oceanography at KSO)


Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2022). Subsurface Salinity Estimation from Sea Surface Parameters Using Convolutional Neural Network Models in the East China Sea. America Geophysical Union (AGU) 2022

Kim, S. H., Shin, J., Kim, D.-W., Jo, Y. H. (2022). Subsurface Salinity Estimation from Satellite data Using CNN Model in the East China Sea. GAIDAS Fall Meeting 2022

Kim, S. H., Kim, D.-W., Park, Y.-J., Jo, Y. H. (2022). Estimation of sea surface salinity in the East China Sea during summer season using GOCI-II data based on machine learning. The Korean Society of Remote Sensing 2022

Kim, S. H., Shin, J., Park, Y.-J., Jo, Y. H. (2022). Subsurface Salinity Estimation from Satellite data Using Deep Learning Models in the East China Sea. Korean Society of Oceanography (KSO), fall meeting
Kim, S. H., Kim, D.-W., Jo, Y. H. (2022). Subsurface Salinity Estimation from Sea Surface Parameters Using Convolutional Neural Network Models in the East China Sea. 2022 Ocean & Atmosphere Science Interdisciplinary Studies (OASIS)

Kim, S. H., Kim, D.-W., Park, Y.-J., Jo, Y. H. (2022). Estimation of the Thickness of Low-Salinity Water in the East China Sea using Satellite data. Korean Society of Oceanography (KSO), spring meeting (* This poster won the best student poster award in the division of physical oceanography at KSO)

Kim, S. H., Jo, Y. H. (2021). Estimation of sea surface salinity in the East China Sea during summer season using GOCI data. 2021 Ocean & Atmosphere Science Interdisciplinary Studies (OASIS)

Kim, S. H., Shin, J., Kim, D. W., & Jo, Y. H. (2023). Estimation of subsurface salinity and analysis of Changjiang diluted water volume in the East China Sea. Frontiers in Marine Science.
Shin, J., Choi, J. G., Kim, S. H., Khim, B. K., & Jo, Y. H. (2022). Environmental variables affecting Sargassum distribution in the East China Sea and the Yellow Sea. Frontiers in Marine Science, 2581.
Kim, D. W., Kim, S. H., Baek, J. Y., Lee, J. S., & Jo, Y. H. (2022). GOCI-II based sea surface salinity estimation using machine learning for the first-year summer. International Journal of Remote Sensing, 43(18), 6605-6623.
Kim, D.-W., Kim, S.-H., & Jo, Y.-H. (2022). Machine Learning to Identify Three Types of Oceanic Fronts Associated with the Changjiang Diluted Water in the East China Sea between 1997 and 2021. Remote Sensing, 14(15), 3574.
Kim, D. W., Kim, S. H., & Jo, Y. H. (2021). A Development for Sea Surface Salinity Algorithm Using GOCI in the East China Sea. Korean Journal of Remote Sensing, 37(5_2), 1307-1315.