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Jungho Im

Showing results (11-20 of 18) with videos related to

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Plos One|October 11, 2019
Delineation of high resolution climate regions over the Korean Peninsula using machine learning approachesSumin Park, Haemi Park, Jungho Im, et al.
Environmental Pollution (Barking, Essex : 1987)|July 30, 2021
Estimation of surface-level NO<sub>2</sub> and O<sub>3</sub> concentrations using TROPOMI data and machine learning over East AsiaYoojin Kang, Hyunyoung Choi, Jungho Im, et al.
Plos One|May 12, 2026
The urban green carbon index (UGCI): A spatial framework for suggesting urban carbon managementInhye Seo, Junge Hyun, Bokyung Son, et al.
Marine Pollution Bulletin|April 23, 2018
Effects of seasonal variations on sediment-plume streaks from dredging operationsNam-Hoon Kim, Van Sy Pham, Jin Hwan Hwang, et al.
Environmental Science & Technology|March 20, 2026
Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite DataEunjin Kang, Sihun Jung, Jungho Im, et al.
Environmental Science & Technology|May 11, 2026
Correction to "Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data"Eunjin Kang, Sihun Jung, Jungho Im, et al.
The Science of the Total Environment|January 18, 2020
Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical modelsSeohui Park, Junghee Lee, Jungho Im, et al.
Scientific Reports|July 14, 2019
Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, AntarcticaHyoung Sul La, Keyhong Park, Anna Wåhlin, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Plos One|October 11, 2019
Delineation of high resolution climate regions over the Korean Peninsula using machine learning approachesSumin Park, Haemi Park, Jungho Im, et al.
Environmental Pollution (Barking, Essex : 1987)|July 30, 2021
Estimation of surface-level NO<sub>2</sub> and O<sub>3</sub> concentrations using TROPOMI data and machine learning over East AsiaYoojin Kang, Hyunyoung Choi, Jungho Im, et al.
Plos One|May 12, 2026
The urban green carbon index (UGCI): A spatial framework for suggesting urban carbon managementInhye Seo, Junge Hyun, Bokyung Son, et al.
Marine Pollution Bulletin|April 23, 2018
Effects of seasonal variations on sediment-plume streaks from dredging operationsNam-Hoon Kim, Van Sy Pham, Jin Hwan Hwang, et al.
Environmental Science & Technology|March 20, 2026
Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite DataEunjin Kang, Sihun Jung, Jungho Im, et al.
Environmental Science & Technology|May 11, 2026
Correction to "Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data"Eunjin Kang, Sihun Jung, Jungho Im, et al.
The Science of the Total Environment|January 18, 2020
Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical modelsSeohui Park, Junghee Lee, Jungho Im, et al.
Scientific Reports|July 14, 2019
Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, AntarcticaHyoung Sul La, Keyhong Park, Anna Wåhlin, et al.
Pageof 2