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A hybrid modeling framework for improved water quantity/quality simulation: using data-driven and process-based models File

Kim, Soobin

Thesis Issue Date2024-02 View64

Assessing Microbial Quality Aspects of Inland Waters Using Remote Sensing Techniques and Machine Learning Models File

Hong, Seokmin

Thesis Issue Date2025-02 View8

Characterizations of the Antarctic Sea Ice Using Multiple Satellite Remote Sensing Data File File

Kim, Miae

Thesis Issue Date2018-08 View36

Drought forecasts using satellite data based on deep learning over East Asia File File

Park, Sumin

Thesis Issue Date2021-02 View44

Drought monitoring and forecasting through multi-sensor satellite data fusion using machine learning approaches File File

Park, Seonyoung

Thesis Issue Date2018-08 View38

Explainable deep learning-based characterization and forecasting of tropical cyclones through the synergistic fusion of satellite observations and numerical model data File

Lee, Juhyun

Thesis Issue Date2023-02 View26

FOREST PARAMETER ESTIMATION FROM AIRBORNE LIDAR DATA IN RUGGED MOUNTAINOUS AREAS File File

FANG, FANG

Thesis Issue Date2014-08 View30

Improved Monitoring and Nowcasting of Particulate Matter based on Machine Learning through the Synergistic Use of Satellite and Model Products over East Asia File File

Park, Seohui

Thesis Issue Date2022-08 View28

Improved ocean fog detection and prediction over the Yellow Sea using geostationary satellite and numerical model data based on machine learning File

Sim, Seongmun

Thesis Issue Date2024-08 View33

Improvement of Soil Moisture Active Passive (SMAP) Sea Surface Salinity File File

Jang, Eunna

Thesis Issue Date2021-08 View28

Improvement of Tropical Cyclone Track Forecast over the Western North Pacific Using a Machine Learning Method

Kim, Kyoungmin , Cha, Dong-Hyun , Im, Jungho

Conference Paper Issue Date2020-05-04 View25

INVESTIGATION OF DEFORESTATION USING MULTI-SENSOR SATELLITE TIME SERIES DATA IN NORTH KOREA File File

Jang, Yeeun

Thesis Issue Date2017-02 View36

Machine learning model for estimating ground-level ozone based on himawari-8 TOA reflectance in Korea File

Beatty, Audrieauna

Thesis Issue Date2024-02 View50

Machine learning-based estimation of daytime and nighttime aerosol optical depth over East Asia using geostationary satellite data File

Song, Sanghyeon

Thesis Issue Date2023-08 View48

Machine learning-based quantitative precipitation estimation over the East Asia from geostationary satellite data File File

Shin, Yeji

Thesis Issue Date2022-08 View38

Machine learning-based wildfire monitoring and characterization using geostationary satellite data File File

Kang, Yoojin

Thesis Issue Date2023-02 View52

Monitoring and Characterization of Arctic Sea Ice using Radar Altimetry File File

Lee, Sanggyun

Thesis Issue Date2018-02 View23

Monitoring of sub-daily gross primary productivity using machine learning under all-sky conditions File File

Lee, Junghee

Thesis Issue Date2021-08 View22

Precipitation nowcasting using ground radar data and artificial intelligence over Korean Peninsula File File

Han, Daehyeon

Thesis Issue Date2023-02 View44

Prediction of the Arctic sea ice concentration using deep-learning approaches File

Kim, Young Jun

Thesis Issue Date2024-02 View55

Short-term forecasting of summer air temperatures using machine learning in South Korea File File

Cho, Dongjin

Thesis Issue Date2023-02 View44

Spatio-temporal Pattern Analysis of Wildfires using GIS in Korea: 1991-2014 File File

Kim, Young Jun

Thesis Issue Date2016-08 View60

The estimation of ground-level nitrogen dioxide (NO2) and ozone (O3) concentrations using Real-Time Learning (RTL)-based machine learning approach File File

Shin, Minso

Thesis Issue Date2022-08 View39

Urban climate characterization and heat risk assessment based on machine learning and remote sensing data File File

Yoo, Cheolhee

Thesis Issue Date2022-02 View45

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