SCI(E)
In preparation
-
Published
2024
Analysis of Hotspot Changes in Daegu Metropolitan City in Summer Using Landsat 8 Satellite Images
Yejin Lee, Kyungil Lee, Seonyoung Park*
Korean Journal of Remote Sensing
Satellite Image-Based Field Compost Detection Using Deep Learning
Sungkyu Jeong, Byeongcheol Kim, Seonyoung Park*, Eugene Chung, Soyoung Lee
Korean Journal of Remote Sensing
Satellite-Informed Smart Sensor Placement Framework for Near-Optimal PM2.5 Monitoring in Urban Areas
Roberto Chang-Silva, Shahzeb Tariq, SangYoun Kim, Mohammad Moosazadeh, Seonyoung Park, ChangKyoo Yoo*
Environmental Science and Pollution Research
Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network
Byeongcheol Kim, Kyungil Lee & Seonyoung Park*
Remote Sensing
Differences in LCZ composition according to urban planning and impacts on urban thermal environment
Kyungil Lee, Cheolhee Yoo & Seonyoung Park*
Energy and Buildings
2023
Environmental Monitoring and Forecasting Using Advanced Remote Sensing Approaches
Seonyoung Park, Aram Song, Yangwon Lee & Jungho Im*
Korean Journal of Remote Sensing
Satellite-Based Cabbage and Radish Yield Prediction Using Deep Learning in Kangwon-do
Hyebin Park, Yejin Lee & Seonyoung Park*
Korean Journal of Remote Sensing
Change detection over the Aral Sea using relative radiometric normalization based on deep learning
Taeheon Kim, Yerin Yun, Seonyoung Park, Jaehong Oh & Youkyung Han
Remote Sensing Letters
Synergetic use of multi-satellite remote sensing to detect forest fire: A case study in South Korea
Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches fire
Hyunyoung Choi†, Seonyoung Park†, Yoojin Kang, Jungho Im*, Sanghyeon Song
Environmental Pollution, 121169
Hansaem Lee, Seonyoung Park, Hang V-Minh Nguyen, Hyun-Sang Shin*
Environmental Pollution, 121222
2022
Cheolhee Yoo, Daehyun Kang, Seonyoung Park*
Remote Sensing, 14(15), 3508
Changhui Lee†, Seonyoung Park†, Taeheon Kim, Sicong Liu, Mohd Nadzri Md Reba, Jaehong Oh, Youkyung Han*
Applied Sciences, 12(19), 10077
Byeongcheol Kim, Kyungil Lee, Seonyoung Park*, Jungho Im
Korean Journal of Remote Sensing
Seonyoung Park*, Jaese Lee, Jongmin Yeom, Eunkyo Seo, Jungho Im
Remote Sensing, 14(23), 6161
2021
Jong-Min Yeom, Seungtaek Jeong, Jong-Sung Ha, Kwon-Ho Lee, Chang-Suk Lee, Seonyoung Park*
IEEE Transactions on Geoscience and Remote Sensing
Prior to SeoulTech
2020
Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea
Jong-Min Yeom, Ravinesh C Deo, Jan F Adamowski, Seonyoung Park, Chang-Suk Lee*
Environmental Research Letters, 15(9)
Seonyoung Park*, Daehyun Kang, Cheolhee Yoo, Jungho Im, Myong-In Lee
ISPRS Journal of Photogrammetry and Remote Sensing, 162, 17-26
2019
Yeom, J., Park, S., Chae, T., Kim, J., & Lee, C. (2019). Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea. Sensors, 19(9), 2082.
Kim, M., Park, M., Lee, M., Im, J., & Park, S. (2019). Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data. Remote Sensing, 11(10), 1195.
2018
Park, S., Seo, E., Kang, D., Im, J., & Lee, M. (2018). Prediction of Drought on pantad scale using remote sensing data and MJO Index through Random forest over East Asia. Remote Sensing, 10(11), 447.
Park, S., Im, J., Park, S., Yoo, C., Han, H., & Rhee, J. (2018). Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data. Remote Sensing, 10(3), 447.
Yoo, C., Im, J., Park, S., Lindi, J. (2018). Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data. ISPRS Journal of Photogrammetry and Remote Sensing, 137, 149-162.
2017
Kim, M., Im, J., Park, H., Park, S., Lee, M. I., & Ahn, M. H. (2017). Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery. Remote Sensing, 9(7), 685.
Park, S., Park, S., Im, J., Rhee, J., Shin, J., & Park, J. D. (2017). Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees. Water, 9(5), 332.
Park, S., Im, J., Park, S., & Rhee, J. (2017). Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula. Agricultural and Forest Meteorology, 237, 257-269.
Ke, Y., Im, J., Park, S., & Gong, H. (2017). Spatiotemporal downscaling approaches for monitoring 8-day 30m actual evapotranspiration. ISPRS Journal of Photogrammetry and Remote Sensing, 126, 79-93.
2016
Park, M. S., Kim, M., Lee, M. I., Im, J., & Park, S. (2016). Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees. Remote Sensing of Environment, 183, 205-214.
Im, J., Park, S., Rhee, J., Baik, J., & Choi, M. (2016). Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches. Environmental Earth Sciences, 75(15), 1120.
Ke, Y., Im, J., Park, S., & Gong, H. (2016). Downscaling of MODIS One kilometer evapotranspiration using Landsat-8 data and machine learning approaches. Remote Sensing, 8(3), 215.
Park, S., Im, J., Jang, E., & Rhee, J. (2016). Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions. Agricultural and Forest Meteorology, 216, 157-169.
2014
Rhee, J., Park, S., & Lu, Z. (2014). Relationship between land cover patterns and surface temperature in urban areas. GIScience & remote sensing, 51(5), 521-536.
Domestic Journal
Yoo, C., Park, S., Kim, Y., & Cho, D. (2019). Analysis of Thermal Environment by Urban Expansion using KOMPSAT and Landsat 8: Sejong City. Korean Journal of Remote Sensing, 35(6-4), 1403-1415
Yoo, C., Im, J., Park, S., & Cho, D. (2017). Thermal Characteristics of Daegu using Land Cover Data and Satellite-derived Surface Temperature Downscaled Based on Machine Learning. Korean Journal of Remote Sensing, 33(6-2), 1101-1118.
Book Chapters
Rhee, J., Im, J., Park, S. 2015. Chapter 16 Regional drought monitoring based on Multi‐sensor remote sensing. pp. 410-415. In: Remote Sensing of Water Resources, Disasters, and Urban Studies (Eds. Prasad S. Thenkabail). Taylor and Francis. November 2015.
International Conference
Park, S., Seo, E., Kang, D., Im, J., & Lee, m., drought prediction, AOGS, Hawaii, USA, Jun, 2018
Park, S., Kang, D., & Im, J., Climate variability and drought over East Africa on time scale of decades, SPIE Remote Sensing, Warsaw, Poland, Sep, 2017
Park, S., Park, S., & Im, J., Downscaling soil moisture over East Asia through fusion of multi sensors by optimizing modified regression trees, European Geosciences Union (EGU) General Assembly 2017, Vienna, Austria, May, 2017
Park, S., & Im, J., Classification of cropland (paddy rice) through fusion of optical and SAR time series data, International Society for Photogrammetry and Remote Sensing (ISPRS), Prague, Czech Republic, Jul., 2016
Park, S., Im, J., & Ke, Y., Mapping 8-day evapotranspiration at 30m spatial resolution by fusion of MODIS and Landsat data and machine learning approach, International Symposium on Remote Sensing (ISRS), Jeju, South Korea, Apr., 2016
Park, S., Im, J., Park, S., & Rhee, J., Drought monitoring using downscaled soil moisture through machine learning approaches over North and South Korea, American Geosciences Union (AGU) Fall Meeting 2015, San Francisco, USA, Dec, 2015
Park, S., Im, J., Baik, J., Choi, M., & Rhee, J., Machine learning approaches for down scaling AMSR-E soil moisture over south Korea, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, Milan, Italy, Jul., 2015
Park, S., Im, J., Park, S., & Rhee, J., AMSR2 Soil moisture downscaling using multisensor products through machine learning approach, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, Milan, Italy, Jul., 2015
Park, S., Im, J., Yoon, H., Jang, E., & Rhee, J., Machine Learning Approaches to Drought Monitoring Using Multi-sensor Indices for Arid and Humid Regions,
International Conference on Earth Observation and Social Impact (ICEO&SI) 2014, Miaoli, Taiwan, Jun, 2014
Rhee, J., Im, J., & Park, S., Regional Drought Monitoring Based on Multi-Sensor Remote Sensing, European Geosciences Union (EGU) General Assembly 2014, Vienna, Austria, May, 2014
Park, S., Im, J., Yoon, H., Jang, E., & Rhee, J., Machine Learning Approaches to Drought Monitoring and Assessment through Blending of Multi-sensor Indices for Different Climate Regions, European Geosciences Union (EGU) General Assembly 2014, Vienna, Austria, May, 2014
Park, S., Yoon, H., Jang, E., & Im, J., Estimation of Evapotranspiration in Korea Using MODIS and LANDSAT 8 Imagery with METRIC and SEBAL, International Symposium on Remote Sensing (ISRS), Busan, South Korea, Apr., 2014
