Young-Heon Jo

Professor

Pusan National University

South Korea

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About

Young-Heon Jo is a Professor at Pusan National University in South Korea. His research areas include environmental monitoring, remote sensing, and machine learning applications in oceanography. He has contributed significantly to the study of ocean dynamics using UAV imagery, as well as the impact of radiation on marine ecosystems. His recent publications highlight advancements in multispectral imaging and deep learning for marine and atmospheric studies.

Articles (17)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (5)

Chu-Yong Chung

National Institute of Meteorological Sciences

SOUTH KOREA

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Sang Lee

Professor

Pusan National University

SOUTH KOREA

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Jinku Park

Korea Polar Research Institute

SOUTH KOREA

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Lee Dabin

Korea Institute of Ocean Science and Technology

SOUTH KOREA

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sungjae lee

Korea Polar Research Institute

SOUTH KOREA

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Young-Heon Jo

Research Interests

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About

Articles (17)

A Novel Method for Eliminating Glint in Water-Leaving Radiance from UAV Multispectral Imagery

Validation of Spatial Boundary of the Ulleung Warm Eddy Using Altimetry

A Study on the Monitoring of Floating Marine Macro-Litter Using a Multi-Spectral Sensor and Classification Based on Deep Learning

Experimental Assessment of Ultraviolet Radiation Impact on the Primary Production of Phytoplankton in the East/Japan Sea

Decomposition of Submesoscale Ocean Wave and Current Derived from UAV-Based Observation

U-Net Super-Resolution Model of GOCI to GOCI-II Image Conversion

Suspended Sediment Concentration Estimation along Turbid Water Outflow Using a Multispectral Camera on an Unmanned Aerial Vehicle

GOCI-II based sea surface salinity estimation using machine learning for the first-year summer

Machine Learning to Identify Three Types of Oceanic Fronts Associated with the Changjiang Diluted Water in the East China Sea between 1997 and 2021

Characteristics of Swell-like Waves in the East Coast of Korea Using Atmospheric and Wave Hindcast Data

<i>Sargassum</i> Detection Using Machine Learning Models: A Case Study with the First 6 Months of GOCI-II Imagery

Phytoplankton Bloom Changes under Extreme Geophysical Conditions in the Northern Bering Sea and the Southern Chukchi Sea

High Spatial-Resolution Red Tide Detection in the Southern Coast of Korea Using U-Net from PlanetScope Imagery

The effect of anomalous weather on the seasonal clothing market in New York

Spatial variability of fishing grounds in response to oceanic front changes detected by multiple satellite measurements in the East (Japan) sea

Weak Response of Biological Productivity and Community Structure of Phytoplankton to Mesoscale Eddies in the Oligotrophic Philippine Sea

Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based Machine Learning

Collaborators (5)

Chu-Yong Chung

Sang Lee

Jinku Park

Lee Dabin

sungjae lee

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