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

Beatty, Audrieauna

Thesis Issue Date2024-02 View17

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 View23

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

Thesis Issue Date2022-08 View19

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

Thesis Issue Date2023-02 View26

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

Thesis Issue Date2018-02 View8

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

Thesis Issue Date2021-08 View13

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

Thesis Issue Date2023-02 View29

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

Thesis Issue Date2024-02 View23

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

Thesis Issue Date2023-02 View28

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

Thesis Issue Date2016-08 View28

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

Thesis Issue Date2022-08 View21

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

Thesis Issue Date2022-02 View21

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