Graduate School

Introduction Faculty Curriculumn

Department of AI Management

홈 영문-일반대학원 Department Department of AI Management Faculty

Name	Seonyoung Park(Chair)
MAJOR	Remote sensing of Environment, GIS, Machine Learning
TEL	02-970-9778
E-mail	sypark@seoultech.ac.kr

Biography

2018. School of Urban and Environmental Engineering UNIST, Korea (PhD)
2013. School of Urban and Environmental Engineering UNIST, Korea (BS)

Careers

2020 - present: Assistant Professor, SeoulTech (Seoul National University of Science and Technology), Seoul, Korea
2018 - 2020: Senior Researcher, Korea Aerospace Research Institute (KARI),Korea
2012: Intern (IT department), SIMENS, Seoul, Korea
2011: Visiting researcher, NASA GSFC, GMAO, Greenbelt, Maryland, USA

Research Areas

Remote sensing of Environment
- Disaster monitoring (climate variability and drought, developing drought indices, heat wave, forest fire)
- Environmental monitoring (Air quality monitoring, Others Land related processes such as evapotranspiration, agricultural process)

Machine learning approaches

Journal Papers

◾ Environmental Monitoring and Forecasting Using Advanced Remote Sensing Approaches, Korean Journal of Remote Sensing, vol.39 No.5-3 pp.885~890, 2023박선영 학과장

◾ Satellite-Based Cabbage and Radish Yield Prediction Using Deep Learning in Kangwon-do, Korean Journal of Remote Sensing, vol.39 No.3-5 pp.1031~1042, 2023박선영 학과장

◾ Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia, Atmospheric Environment, 2023박선영 학과장

◾ Change detection over the Aral Sea using relative radiometric normalization based on deep learning, REMOTE SENSING LETTERS, 2023박선영 학과장

◾ Synergistic use of multi-satellite remote sensing to detect forest fires: A case study in South Korea, Remote Sensing Letters, vol.14 No.5 pp.491~502, 2023박선영 학과장

◾ Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II, ENVIRONMENTAL POLLUTION, vol.323, 2023박선영 학과장

◾ Proposal for a new customization process for a data-based water quality index using a random forest approach, ENVIRONMENTAL POLLUTION, vol.323, 2023박선영 학과장

◾ Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches, GISCIENCE & REMOTE SENSING, vol.60 No.1, 2023박선영 학과장

◾ Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems, REMOTE SENSING, vol.14 No.23, 2022박선영 학과장

◾ Machine Learning-Based Forest Burned Area Detection with Various Input Variables: A Case Study of South Korea, APPLIED SCIENCES-BASEL, vol.12 No.19, 2022박선영 학과장

◾ Forest Burned Area Detection Using Landsat 8/9 and Sentinel-2 A/B Imagery with Various Indices: A Case Study of Uljin, Korean Journal of Remote Sensing, vol.38 No.5-2 pp.765~779, 2022박선영 학과장

◾ Identifying the Impact of Regional Meteorological Parameters on US Crop Yield at Various Spatial Scales Using Remote Sensing Data, REMOTE SENSING, vol.14 No.15, 2022박선영 학과장

◾ Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models, IEEE Transactions on Geoscience and Remote Sensing, vol.60, 2021박선영 학과장

◾ Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea, ENVIRONMENTAL RESEARCH LETTERS, vol.15 No.9, 2020박선영 학과장

◾ Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol.162 pp.17~26, 2020박선영 학과장

◾ Analysis of Thermal Environment by Urban Expansion using KOMPSAT and Landsat 8: Sejong City, 대한원격탐사학회지, vol.35 No.6 pp.1403~1415, 2019박선영 학과장

◾ Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea, SENSORS, vol.19 No.9, 2019박선영 학과장

◾ Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data, REMOTE SENSING, vol.11 No.10, 2019박선영 학과장

◾ Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia, REMOTE SENSING, vol.10 No.11, 2018박선영 학과장

◾ Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol.137 pp.149~162, 2018박선영 학과장

◾ Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data, REMOTE SENSING, vol.10 No.3, 2018박선영 학과장

◾ Thermal Characteristics of Daegu using Land Cover Data and Satellite-derived Surface Temperature Downscaled Based on Machine Learning, 대한원격탐사학회지, vol.33 No.6 pp.1101~1118, 2017박선영 학과장

◾ Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery, REMOTE SENSING, vol.9 No.7, 2017박선영 학과장

◾ Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula, AGRICULTURAL AND FOREST METEOROLOGY, vol.237 pp.257~269, 2017박선영 학과장

◾ Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees, WATER, vol.9 No.5, 2017박선영 학과장

◾ Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol.126 pp.79~93, 2017박선영 학과장

◾ Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees, REMOTE SENSING OF ENVIRONMENT, vol.183 pp.205~214, 2016박선영 학과장

◾ Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches, ENVIRONMENTAL EARTH SCIENCES, vol.75 No.15, 2016박선영 학과장

◾ Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches, REMOTE SENSING, vol.8 No.3, 2016박선영 학과장

◾ Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions, AGRICULTURAL AND FOREST METEOROLOGY, vol.216 pp.157~169, 2016박선영 학과장

◾ Relationship between land cover patterns and surface temperature in urban areas, GISCIENCE & REMOTE SENSING, vol.51 pp.521~536, 2014박선영 학과장

Conference Papers

◾ 박선영, Sentinel-2 영상을 이용한 동계작물 재배지역 분류, 2023 GEOAI, 그랜드 하얏트 제주, 2023박선영 학과장

◾ 박선영, 임정호, Performance of the Drought Indices in the Different Agricultural Systems, 2023 IAG'i, The University of Electro-Communications (Chofu City, Tokyo), 2023박선영 학과장

◾ 박선영, Performance of the Drought Indices in the Different Agricultural Systems, AOGS 2023, SUNTEC Singapore, 2023박선영 학과장

◾ 이예진, 박헤빈, 박선영, 송낙훈, 이경일, 머신러닝을 활용한 제조 사업장 대기오염 물질 배출량 예측 및 확산 모델링, 2023 전자공학회 춘계학술대회, 롯데호텔 제주, 2023박선영 학과장

◾ 박선영, 이경일, Satellite-based burn severity mapping and evaluating the transferability of Copernicus EMS data using machine learning approaches, EGU23, Austria Center Vienna, 2023박선영 학과장

◾ 박선영, 강유진, 오상호, 이경일, 한유경, 다양한 위성영상을 이용한 머신러닝 기반의 우리나라 산불 피해지역 탐지, 2022년 GEOAI데이터학회 추계학술대회, 그랜드하얏트 제주, 2022박선영 학과장

◾ 박선영, 이경일, 김병철, 박혜빈, 정영민, 송낙훈, 강유진, 김우혁, 원격탐사와 인공지능을 이용한 우리나라 기후환경에 따른 산불 분석, 2022년 대한원격탐사학회 추계학술대회, 부산 벡스코, 2022박선영 학과장

◾ 정영민 이경일, 박선영, Landsat 9 based Local Climate Zone Mapping using CNN in Rome, 2022 KAGIS Fall conference, 제주대학교 아라캠퍼스, 2022박선영 학과장

◾ 박혜빈, 박선영, Satellite-based Crop Yield Prediction Using Machine Learning Approacehs, 2022 KAGIS Fall conference, 제주대학교 아라캠퍼스, 2022박선영 학과장

◾ Seonyoung Park, Yeji Kim, Bo-ram Kim, Youkyung Han, Changhui Lee, Teaheon Kim , DETECTION OF SMALL SCALE FOREST FIRE BASED ON MULTI-SATELLITE REMOTE SENSING USING MACHINE LEARNING APPROACHES, IEEE IGARSS (International Geoscience and Remote Sensing Symposium) 2022, Kuala Lumpur Convention Centre, 2022박선영 학과장

◾ 박선영, 염종민, 김은애, 배출량 예측 모니터링 시스템(PEMS) 구축을 위한 머신러닝 기반의 사업장 내 AOD 추정, 지오에이아이데이터학회 추계학술대회, 부산 파라다이스 호텔, 2021박선영 학과장

◾ 박선영, 임정호, 기후지수와 위성기반 가뭄지수를 이용한 머신러닝 기반의 단기가뭄 예측, 2021년 지오에이아이데이터학회 추계학술대회, 부산 파라다이스 호텔, 2021박선영 학과장

◾ 김보람, 김예지, 박선영, 다중위성 산불 탐지 및 분석: 정지궤도 산불 탐지 및 지역 추출, 항공우주학회 추계학술대회 논문집, 제주 라마다 호텔, 2021박선영 학과장

◾ 박선영, 염종민, 강대현, 배출량 예측 모니터링 시스템 구축을 위한 다양한 머신러닝 기법 기반의 대기 AOD 추정, 2021 공동추계학술대회, 제주대학교 아라캠퍼스, 2021박선영 학과장

◾ 박선영, 김예지, 김보람, Forest fire detection using multi-satellite remote sensing, BIEN2021, 대전 ICC 및 온라인 하이브리드, 2021박선영 학과장

◾ 김예지, 박선영, 이정호, 채태병, 다목적실용위성 3호와 3A호 영상의 산불피해 분석을 위한 지수지도 분석, 한국항공우주학회 2020 추계학술대회 논문집, 제주도 라마다호텔, 2020박선영 학과장

◾ 박선영, 유철희, 김예지, 조동진, KOMPSAT과 Landsat 8 영상을 이용한 도시확장에 따른 열 환경 분석, 한국지리정보학회 추계학술대회집, 제주대학교 아라컨벤션, 2020박선영 학과장

◾ 박선영, 머신러닝을 활용한 위성영상 활용: 재난재해 분석, 대한원격탐사학회 2020추계학술대회집, 온라인 발표, 2020박선영 학과장