top of page

RESEARCH

E-WEB-Goal-14.png

Goal 14:  Life below water

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

(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.)

 © COPYRIGHT UNIST IRIS LAB. ALL RIGHT RESERVED.

3D Earth Model: NASA Visualization Technology Applications and Development (VTAD).

UNIST-gil 50, Ulsan 44919, Republic of Korea.
Phone : +82 52 217 2887 / Admissions : +82 52 217 1180

bottom of page