Junhwa Chi

Assistant Professor

Pusan National University

South Korea

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Junhwa Chi is an Assistant Professor at Pukyong National University in South Korea. His research areas include GeoAI applications, water quality assessment, and remote sensing technologies, as evidenced by his recent articles on building change detection, water quality indicators, and coastal debris interpretability. Additionally, he investigates ground subsidence in Arctic regions and the impacts of the pandemic on maritime traffic through advanced data analysis techniques.

Articles (17)

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2025

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2025

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2025

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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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2021

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2021

Collaborators (6)

Cuihua Li

Columbia University

UNITED STATES

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Sukbae Lee

Professor

Gyeongsang National University

SOUTH KOREA

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Won-Ki Kim

Assistant Professor

Chungbuk National University

SOUTH KOREA

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Hyeyeong Choe

Associate Professor

Seoul National University

SOUTH KOREA

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Dmitri Kondrashov

University of California, Los Angeles

UNITED STATES

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sungjae lee

Korea Polar Research Institute

SOUTH KOREA

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Junhwa Chi

Research Interests

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About

Articles (17)

GeoAI Dataset for Building Change Detection from CAS500-1

Estimating Water Quality Indicators from Sentinel-2 Imagery Using AutoML-Based Ensemble Approaches: A Case Study of the Nakdong River

Evaluation of Coastal Debris Interpretability under Varying GSD Conditions in UAV Imagery

Reconstruction of Missing Data in GOCI-II Chlorophyll-a Imagery Using Deep Learning-Based Spatio-Temporal Approaches

Determination of Ground Subsidence Around Snow Fences in the Arctic Region

Enhancing Passive Microwave Brightness Temperature Using Dual-Attention SRGAN

Predicting September Arctic Sea Ice: A Multimodel Seasonal Skill Comparison

A Study on Changes in Maritime Traffic Due to the Pandemic using AIS Big Data and Density Analysis

Geometric and Radiometric Quality Assessments of UAV-Borne Multi-Sensor Systems: Can UAVs Replace Terrestrial Surveys?

Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard

High‐resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems

Mapping Potential Plant Species Richness over Large Areas with Deep Learning, MODIS, and Species Distribution Models

An Optimal Image–Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images

Time-lapse electrical resistivity tomography and ground penetrating radar mapping of the active layer of permafrost across a snow fence in Cambridge Bay, Nunavut Territory, Canada: correlation interpretation using vegetation and meteorological data

Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks

Two-Stream Convolutional Long- and Short-Term Memory Model Using Perceptual Loss for Sequence-to-Sequence Arctic Sea Ice Prediction

Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula

Collaborators (6)

Cuihua Li

Sukbae Lee

Won-Ki Kim

Hyeyeong Choe

Dmitri Kondrashov

sungjae lee

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