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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 View16

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

Kim, Miae

Thesis Issue Date2018-08 View15

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

Park, Sumin

Thesis Issue Date2021-02 View7

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

Park, Seonyoung

Thesis Issue Date2018-08 View9

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 View7

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

FANG, FANG

Thesis Issue Date2014-08 View14

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

Park, Seohui

Thesis Issue Date2022-08 View8

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

Jang, Eunna

Thesis Issue Date2021-08 View9

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 View12

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

Jang, Yeeun

Thesis Issue Date2017-02 View13

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

Beatty, Audrieauna

Thesis Issue Date2024-02 View10

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 View20

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

Shin, Yeji

Thesis Issue Date2022-08 View16

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

Kang, Yoojin

Thesis Issue Date2023-02 View19

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

Lee, Sanggyun

Thesis Issue Date2018-02 View7

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

Lee, Junghee

Thesis Issue Date2021-08 View10

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

Han, Daehyeon

Thesis Issue Date2023-02 View20

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

Kim, Young Jun

Thesis Issue Date2024-02 View11

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

Cho, Dongjin

Thesis Issue Date2023-02 View17

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

Kim, Young Jun

Thesis Issue Date2016-08 View12

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 View18

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

Yoo, Cheolhee

Thesis Issue Date2022-02 View19

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