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Author

Yoojin Kang

Observed names: Kang, Yoojin, Yoo-Jin Kang
Institution: Kookmin University
ORCID: 0000-0003-3006-6994
Observed ORCID: 0000-0003-3006-6994
OpenAlex ID: A5065445163
Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia
2021 · Yoojin Kang, Hyunyoung Choi, et al. · Environmental Pollution · 199
Estimating ground-level particulate matter concentrations using satellite-based data: a review
2019 · Minso Shin, Yoojin Kang, et al. · GIScience & Remote Sensing · 131
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Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea
2019 · Eunna Jang, Yoojin Kang, et al. · Remote Sensing · 123
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A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency
2022 · Yoojin Kang, Eunna Jang, et al. · GIScience & Remote Sensing · 115
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Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
2021 · Yoojin Kang, Miae Kim, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 92
Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea
2020 · Yoojin Kang, Eunna Jang, et al. · Applied Sciences · 52
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Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions
2023 · Yoojin Kang, Taejun Sung, et al. · Remote Sensing of Environment · 37
Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II
2023 · Hyunyoung Choi, Seonyoung Park, et al. · Environmental Pollution · 30
Enhancing Satellite-Based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information
2024 · Taejun Sung, Yoojin Kang, et al. · IEEE Transactions on Geoscience and Remote Sensing · 23
Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach
2024 · Yoojin Kang, Jungho Im · International Journal of Applied Earth Observation and Geoinformation · 13
Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches
2020 · Seongmun Sim, Woohyeok Kim, et al. · Scholarworks@UNIST (Ulsan National Institute of Science and Technology) · 5
Spatio-temporal enhancement of forest fire risk index using weather forecast and satellite data in South Korea
2019 · Yoojin Kang, Su-min Park, et al. · Journal of the Korean Association of Geographic Information Studies · 4
Bridging temporal gaps: AI-based temporal downscaling of biweekly NH3 to daily scale with spatial transferability
2025 · Saman Malik, Eunjin Kang, et al. · Journal of Hazardous Materials · 3
Understanding the Impact of Forest Fire on Ambient Air Quality
2024 · Yoojin Kang, Hyunyoung Choi, et al. · Journal of Korean Society for Atmospheric Environment · 3
Monitoring Ground-level SO 2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models
2020 · Hyunyoung Choi, Yoojin Kang, et al. · Scholarworks@UNIST (Ulsan National Institute of Science and Technology) · 3
Content dependent selection of image enhancement parameters for mobile displays
2010 · Yoon-Gyoo Lee, Yoo-Jin Kang, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 3
Comprehensive global fire radiative power evaluation by minimizing detection bias with intercomparison and extended triple collocation analysis
2025 · Yoojin Kang, Jaese Lee, et al. · Remote Sensing of Environment · 2
Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia
2025 · Sanghyeon Song, Yoojin Kang, et al. · Atmospheric Environment · 1
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Estimation of TROPOMI-derived Ground-level SO 2 Concentrations Using Machine Learning Over East Asia
2021 · Hyunyoung Choi, Yoojin Kang, et al. · Scholarworks@UNIST (Ulsan National Institute of Science and Technology) · 1
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Decomposing Global Fire Weather Reveals a Single Dominant Axis of Change
2026 · Kang, Yoojin · Zenodo (CERN European Organization for Nuclear Research)
Retrieving Woody Components from Time-Series Gap-Fraction and Multispectral Satellite Observations over Deciduous Forests
2025 · Woohyeok Kim, Jaese Lee, et al. · Remote Sensing
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Graph Neural Networks for Hourly 1 km Urban CO2 Emissions Estimation Using Real-World Data
2025 · Yeonsu Lee, Siwoo Lee, et al.
기계학습을 활용한 동아시아 지역의 Tropomi 기반 So2 지상농도 추정
2021 · Hyunyoung Choi, Yoojin Kang, et al.
Landsat-based Leaf Area Index Estimation for the Contiguous US using Google Earth Engine
2019 · Yoojin Kang, Mutlu Özdoğan, et al. · AGU Fall Meeting Abstracts
Forest fire detection and monitoring in South Korea using geostationary meteorological satellite data
2018 · Eunna Jang, Jungho Im, et al. · Scholarworks@UNIST (Ulsan National Institute of Science and Technology)
Works count: 25
Citation count: 840
H-index: 10
I10-index: 10
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