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RESEARCH

Goal 14: Life below water

2025

Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning

Sung, Taejun; Kim, So-Hyun; Sim, Seongmun; Han, Daehyeon; Jang, Eunna; Im, Jungho

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, Volume 137, 104427

CARE-SST: Context-Aware reconstruction diffusion model for Sea surface temperature

Choo, Minki; Jung, Sihun; Im, Jungho; Han, Daehyeon

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, Volume 220, pp. 454-472

2024

Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations

Jang, Eunna; Han, Daehyeon; Im, Jungho; Sung, Taejun; Kim, Young Jun

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, Volume 132, 104029

Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML

Sim, Seongmun; Im, Jungho; Jung, Sihun; Han, Daehyeon

REMOTE SENSING 16, no. 13:2348

2023

K-means clustering 기법과 원격탐사 자료를 활용한 탄소기반 글로벌 해양 생태구역 분류
김영준, 배덕원, 임정호, 정시훈, 추민기, 한대현
대한원격탐사학회지, 39(5-3), pp.1043-1060

Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation
Sim, Seongmun; Im, Jungho
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v.16, pp.7819-7837

Atmospheric-correction-free red tide quantification algorithm for GOCI based on machine learning combined with a radiative transfer simulation
Kim, Young Jun; Kim, Wonkook; Im, Jungho; Choi, Jongkuk; Lee, Sunju
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.199, pp.197 - 213

Remote sensing of sea surface salinity: challenges and research directions
Kim, Young Jun; Han, Daehyeon; Jang, Eunna; Im, Jungho; Sung, Taejun
GISCIENCE & REMOTE SENSING, v.60, no.1, pp.2166377

2022

다종 위성자료와 인공지능 기법을 이용한 한반도 주변 해역의 고해상도 해수면온도 자료 생산
정시훈; 추민기; 임정호; 조동진
대한원격탐사학회지, 38(5-2), pp.707-723.

다종 위성자료와 기계학습을 이용한 고해상도 표층 염분 추정
성태준; 심성문; 장은나; 임정호
대한원격탐사학회지 38(5), pp.747-763.

우리나라 연안 대형저서동물 시· 공간 군집 특성 분석
김영준; 임정호; 조춘옥; 류종성
한국지리정보학회지, 25(3), pp.100-117.

Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning
Jang, Eunna; Kim, Young Jun; Im, Jungho; Park, Young-Guy; Sung, Taejun
REMOTE SENSING OF ENVIRONMENT, v.273, pp.112980

High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension

Jung, Sihun; Yoo, Cheolhee; Im, Jungho

REMOTE SENSING, v.14, no.3, pp.575

2021

GOCI 위성영상과 기계학습 기법을 이용한 Ocean Colour-Climate Change Initiative (OC-CCI) Forel-Ule Index의 공간 상세화
성태준; 김영준; 최현영; 임정호
대한원격탐사학회지, v.37, no.5, pp.959-974

Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches
Jang, Eunna; Kim, Youngjun; Im, Jungho; Park, Young-Gyu
GISCIENCE & REMOTE SENSING, 1-23

2020

시계열 기계학습을 이용한 한반도 남해 해수면 온도 예측 및 고수온 탐지
정시훈; 김영준; 박수민; 임정호
대한원격탐사학회지, v.36, no.5, pp.1077-1093

2016

GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 측정
Jang, Eunna; Im, Jungho; Ha, Sunghyun, et al
한국원격탐사학회지, v.32, no.3, pp.221 - 234

(The content of this publication has not been approved by the United Nations and does not reflect the views of the United Nations or its officials or Member States.)

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