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Icing detection from geostationary satellite data over Korea and Japan using machine learning approaches

Im, Jungho , Sim, Seongmun , Ha, Seonghyeon , Lee, Junghee

Conference Paper Issue Date2015-11-11 View41
Icing detection over East Asia from geostationary satellite data using machine learning approaches File File

Sim, Seongmun , Im, Jungho , Park, Sumin , Park, Haemi , Ahn, Myoung Hwan , Chan, Pak-wai

Article Issue Date2018-04 View25
Improved Ocean-Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation File File

Sim, Seongmun , Im, Jungho

Article Issue Date2023-08 View16
Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML File File

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

Article Issue Date2024-07 View20
Ocean Fog Detection using Himawari-8 data over the Yellow sea with Machine Learning Approaches

Sim, Seongmun , Im, Jungho , Jang, Eunna , Kim, Youngjun

Conference Paper Issue Date2020-02-17 View12
Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data File File

Han, Hyangsun , Kim, Miae , Sim, Seongmun , Kim, Jinwoo , Kim, Duk-jin , Kang, Sung-Ho , Im, Jungho

Article Issue Date2016-01 View28
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data File File

Lee, Juhyun , Im, Jungho , Cha, Dong-Hyun , Park, Haemi , Sim, Seongmun

Article Issue Date2020-01 View47
Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches File

Sim, Seongmun , Kim, Woohyeok , Lee, Jaese , Kang, Yoojin , Im, Jungho , Kwon, Chunguen , Kim, Sungyong

Article Issue Date2020-10 View22
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