SCI(E)

 In preparation

Kyungil Lee, Cheolhee Yoo, & Seonyoung Park*

Urban Climate - Submitted

Published

 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 
​ 

Direct aerosol optical depth retrievals using MODIS reflectance data and machine leanring over East Asia  

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

Retrieval of hourly PM2. 5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II

Hyunyoung Choi^​†, Seonyoung Park^​†, Yoojin Kang, Jungho Im*, Sanghyeon Song 

Environmental Pollution, 121169

Proposal for a new customization process for a data-based water quality index using a random forest approach

Hansaem Lee, Seonyoung Park, Hang V-Minh Nguyen, Hyun-Sang Shin*

Environmental Pollution, 121222

 2022
 

Identifying the Impact of Regional Meteorological Parameters on US Crop Yield at Various Spatial Scales Using Remote Sensing Data

Cheolhee Yoo, Daehyun Kang, Seonyoung Park*

Remote Sensing, 14(15), 3508

Machine Learning-Based Forest Burned Area Detection with Various Input Variables: A Case Study of South Korea

Changhui Lee^​†, Seonyoung Park^​†, Taeheon Kim, Sicong Liu, Mohd Nadzri Md Reba, Jaehong Oh, Youkyung Han*

Applied Sciences, 12(19), 10077

Forest Burned Area Detection Using Landsat 8/9 and Sentinel-2 A/B Imagery with Various Indices: A Case Study of Uljin

Byeongcheol Kim, Kyungil Lee, Seonyoung Park^*, Jungho Im

Korean Journal of Remote Sensing
 

Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems

Seonyoung Park*, Jaese Lee, Jongmin Yeom, Eunkyo Seo, Jungho Im

Remote Sensing, 14(23), 6161

 2021

Estimation of the Hourly Aerosol Optical Depth from GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models 

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)

Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data 

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