AI · Remote Sensing · Earth Observation

Hyebin
Park.

CV / LinkedIn / Google Scholar
Portfolio Publications
Hyebin Park
About

About Me

I am a Ph.D. student in Applied Artificial Intelligence at Seoul National University of Science and Technology. My research lies at the intersection of artificial intelligence, remote sensing, and environmental science.

I am particularly interested in extracting fine-scale information from satellite and meteorological observations that are limited by coarse spatial resolution, sparse observations, and cross-domain discrepancies.

My current research includes satellite image super-resolution, environmental variable downscaling, Earth observation foundation models, and AI-based analysis of climate and carbon-cycle variables.

RESEARCH AREAS Artificial Intelligence
Remote Sensing
Environmental Science
METHODS Deep Learning · Computer Vision · Super-Resolution · Image Generation
EARTH OBSERVATION DATA KOMPSAT-3 · Sentinel-2 · Landsat 8/9 · MODIS · GK2A
LOCATION Seoul, Republic of Korea
Publications

Peer-Reviewed Publications

2026
A super-resolution framework for downscaling machine learning weather prediction toward 1-km air temperature
Hyebin Park, Seonyoung Park, Daehyun Kang, Jeong-Hwan Kim
npj Climate and Atmospheric Science
Paper ↗
2023
Satellite-Based Cabbage and Radish Yield Prediction Using Deep Learning in Kangwon-do
Hyebin Park, Yejin Lee, Seonyoung Park
Korean Journal of Remote Sensing
Paper ↗
Projects

Research Projects

2026 — PRESENT

Dataset Construction and Management for Training Satellite Imagery Foundation Models

Korean Society for Aeronautical and Space Sciences (KSAS)
Role: Development of foundation models and data valuation criteria
2025 — PRESENT

Development of AI-Based Prediction Technology for Compound Climate Extremes over Korea and Its Mechanisms

National Research Foundation of Korea (NRF)
Role: Meteorological variable downscaling
2025

Remote Sensing-Based Extreme Climate Detection and Carbon Cycle Analysis

Korea Institute of Science and Technology (KIST)
Role: GPP downscaling
2024 — 2025

Assessment of Livestock Manure Status and Environmental Pollution — Development of Monitoring Methods for Livestock Facility Detection

National Institute of Environmental Research (NIER)
Role: Livestock roof generation for data augmentation and KOMPSAT-3 super-resolution
Background

Education & Experience

2026 — PRESENT

Ph.D. in Applied Artificial Intelligence

Seoul National University of Science and Technology

2024 — 2026

M.S. in Applied Artificial Intelligence

Seoul National University of Science and Technology

2024

Research Assistant

Center for Climate and Carbon Cycle Research, Korea Institute of Science and Technology (KIST)

2021 — 2024

B.S. in Applied Artificial Intelligence

Seoul National University of Science and Technology

2022 — 2024

Undergraduate Research Assistant

Seoul National University of Science and Technology

Honors

Honors & Awards

2025
Space Hackathon Excellence Award · 2nd Place
Award from the President of the Korea Aerospace Research Institute (KARI)
Topic: An Open-Vocabulary VLM-Based Interactive Object Labeling Automation System
2023
Early-Career Research Program on Satellite Imagery Utilization · 3rd Place
Korean Society of Remote Sensing
Topic: Detection of Open Manure Piles Using Deep Learning on KOMPSAT-2/3 Satellite Imagery
Academic Activities

International Presentations

European Geosciences Union (EGU)
2026
Super-Resolution Machine Learning Weather Forecast for 1-km Air Temperature Prediction ORAL
International Conference on Electronics, Information, and Communication (ICEIC)
2026
Resolution Enhancement of KOMPSAT-3 RGB Imagery Using Aerial Images ORAL
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
2025
MODIS GPP Super-Resolution Using Reference Based SRGAN with Sentinel-2 ORAL
Asia Oceania Geosciences Society (AOGS)
2024
Production of High Resolution GPP Using Sentinel-2 Images ORAL

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