Ryoungseob Kwon
Seoul, Republic of Korea
twinsben94@snu.ac.kr
Research Interest
Landscape Mapping, Geo Informatics, Meta Analysis, Remote Sensing, Deep Learning
Vision : Mapping the Story of the World.
Education
2023 - Present : Seoul National University, Seoul, Republic of Korea, Supervisor: Prof. Youngryel Ryu
PhD degree in Interdisciplinary Program in Landscape Architecture, Smart City Global Convergence
2021 - 2023 : Seoul National University, Seoul, Republic of Korea, Supervisor: Prof. Youngryel Ryu
Master degree in Ecological Landscape Architecture, Smart City Global Convergence
2013 - 2020 : Seoul National University, Seoul, Republic of Korea
Bachelor degree in Landscape Architecture
Publications
Kwon, R., Ryu, Y., Yang, T., Zhong, Z., & Im, J. (2023). Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale. ISPRS Journal of Photogrammetry and Remote Sensing, 206, 201-221.
Kim, D., & Kwon, R. (2023). Unveiling the Potential: Exploring NIRv Peak as an Accurate Estimator of Crop Yield at the County Level. Korean Journal of Agricultural and Forest Meteorology, 25(3), 182–196.
Academic Conferences
Kwon, R. and Ryu, Y. (2021, June). Tree counting, tree mapping and tree monitoring in Suwon city. In KSCC Conference.
Kwon, R., Ryu, Y., & Zaheer, S. (2021, December). Counting trees at the city scale via merging multiple remote sensing platforms and deep learning. In AGU Fall Meeting Abstracts (Vol. 2021, pp. SY15F-06).
Kwon, R., Ryu, Y., & Yang, T. (2022, December). Merging multiple sensing platforms and deep learning empowers individual tree mapping and tree species detection at a city-scale. In KSCC Conference.
Kwon, R., Ryu, Y., Yang, T., Zhong, Z., & Im, J. (2022, December). Merging Multiple Sensing Platforms and Deep Learning empowers Individual Tree Mapping and Tree Species Detection at a City-scale. In Fall Meeting 2022. AGU.
Zhong, Z., Ryu, Y., Kong, J., Lee, J., Yan, Y., Kwon, R., ... & Feng, H. (2022, December). Transformer Networks for Cloud and Cloud Shadow detection in Landsat-8 and Sentinel-2 Imagery. In Fall Meeting 2022. AGU.
Yang, T., Ryu, Y., Kwon, R., & Zhong, Z. (2022, December). City-Scale Street Trees Mapping through LiDAR, RGB Camera, and INS Integrated Vehicle Sensor System. In AGU Fall Meeting Abstracts (Vol. 2022, pp. IN35D-0425).
Choi, C., Ryu, Y., Choi, W., Yang, T., Jeong, S., & Kwon, R. (2023, April). Mapping Wetland Above-ground Biomass by Combining Optical and SAR Data: A Case Study of Binae Island. In International Symposium on Remote Sensing.
Kwon, R., Ryu, Y., & Feng, H. (2023, November). Crop type mapping and productivity monitoring through merging satellite imagery and artificial intelligence in the top 5 grain importing countries. In KSRS Conference.
Kwon, R., Ryu, Y., Feng, H., Jeong, S., Kong, J., & Choi, C. (2023, December). Maize Mapping and Productivity Forecasting without In-situ Labels, Leveraging Artificial Intelligence and Cloud-computed Multi-Source Data. In Fall Meeting 2023. AGU.
Yang, T., Ryu, Y., Kwon, R., Choi, C., Nam, Y., & Jo, S. (2023, December). Carsensing Enables Labor-efficient and Repetitive Creation of Street Tree Inventory. In Fall Meeting 2023. AGU.
Choi, C., Ryu, Y., Yang, T., Kwon, R., Jeong, S., & Kong, J. (2023, December). Forest Height Estimation: An Adaptive Deep-learning Approach Incorporating PFTs and Vegetation Seasonality. In Fall Meeting 2023. AGU.
Kim, J., Ryu, Y., Kwon, R., Yang, T., & Choi, C. (2023, December). Street Tree Influence on Urban Heat: A Vehicle-Borne Sensor Approach with Deep Learning-Driven Semantic Segmentation and Automated Emissivity Application. In Fall Meeting 2023. AGU.
Patents
To be updated : In season wall to wall crop type mapping method and system using ensemble of image segmentation model
2023.04 : Tree species detection apparatus based on camera, thermal camera, GPS, and LiDAR and Detection method of the same
2022.12 : System and method for tree species detection through tree bark Image background removal using deep learning
2022.07 : System and method for city-scale tree mapping using 3-channel images and multiple deep learning
2021.10 : Tree species detection system based on LiDAR and RGB camera and Detection method of the same
Research Experience
2024 - present : Application of remote sensing and crop modeling to advance monitoring of crop conditions and related information systems in major global grain areas (Project by Rural Development Administration, Republic of Korea)
2024 - 2024 : Development of rice cultivated area detection technology using multiple satellite imagery and artificial intelligence, and estimation of cultivation area (Project by Rural Development Administration, Republic of Korea)
2023 - present : Technology development project for creation and management of ecosystem based carbon sinks (Project by Korea Ministry of Environment, Republic of Korea)
2022 - 2023 : Satellite based monitoring of agricultural environments and crop conditions in major crop countries that export to South Korea (Project by Rural Development Administration, Republic of Korea)
2021 - 2022 : Urban ecological health promotion technology development project (Project by Korea Ministry of Environment, Republic of Korea)
National License
2018.12 : Korean Engineer in Landscape Architecture (조경기사)
2020.09 : Korean Engineer in Nature Environment and Ecological Restoration (자연생태복원기사)
Professional Experience
2024.01 - 2024.03 : Visiting researcher in David Makowski lab of University Paris-Saclay, AgroParisTech INRAE campus, Paris, France (Ukraine wheat analysis during war-time)
2022.07 - 2022.08 : Intern in Tridge Co. Ltd., Seoul, Republic of Korea (Croplands monitoring, Yield estimation)
2020.11 - 2021.02 : Research Assistant in Seoul National University, Seoul, Republic of Korea (Remote Sensing, Ecological Analysis)
2020.01 - 2020.02 : Intern in GroupHan Associates Co. Ltd., Seoul, Republic of Korea (Apartment Landscape Designing)
2019.07 - 2019.08 : Field Trainee in Yooshin Co. Ltd., Seoul, Republic of Korea (Landscape Planning, GIS Analysis)
Awards
2021.02 : The Best Honor Graduate Award from the Landscape Architecture Major at Seoul National University
2022.12 : AI for All-Young Researcher Award from the AI Research Institute at Seoul National University and Yulchon Foundation at Nongshim Group
2022.12 : Entrepreneurship Competition Encouragement Award from the College of Agriculture and Life Sciences at Seoul National University
2023.06 : ESG Smart City Entrepreneurship Hackathon Best Award from the Integrated Major in Smartcity Global Convergence at Seoul National University and Korean Standards Association
2023.08 : Certificate of Reviewing from the Science of Remote Sensing journal
2023.11 : Artificial Intelligence Idea Competition Encouragement Award from the Seoul city, Republic of Korea
Scholarships
2023. Fall - Selected as an Excellent Research Talent scholarship student by Brain Korea (BK21)
2023. Spring - Selected as a full-scholarship student by Seoul National University
2022. Fall - Selected as a full-scholarship student by Brain Korea (BK21)
2022. Spring - Selected as a full-scholarship student by Brain Korea (BK21)
2021. Fall - Selected as a full-scholarship student by Brain Korea (BK21) and Seoul National University
2021. Spring - Selected as a full-scholarship student by Seoul National University
2018. Fall - Selected as a full-scholarship student by Seoul National University
2018. Spring - Selected as a full-scholarship student by Seoul National University
2017. Fall - Selected as a full-scholarship student by Dongwon Group
2017. Spring - Selected as a full-scholarship student by Dongwon Group
Technical Skills
Programming language : Python, MATLAB, R
Remote sensing tools : QGIS, ArcGIS, Google Earth Engine
Point cloud tools : Cyclone REGISTER360, CloudCompare
Modeling tools : AutoCAD, Rhinoceros, Grasshopper, Photoshop
Other Skills
To be updated.
Languages
Korean : Native
English : Intermediate Fluency
2022.03 : TOEIC 890 score
2022.04 : TOEIC Speaking Level 6
Mentoring
Myunghan Son (2023) : County-level corn and soybean yield prediction using Google Earth Engine and multivariate regression models.
Daewon Kim (2022) : US cornbelt crop productivity monitoring using Google Earth Engine and canopy near-infrared reflectance.
Other Experience
2021.03 ~ 2021.06 : Teaching Assistant of Python, Google Earth Engine for class
- Class name : Remote Sensing of Ecosystem Structures and Functions
- Class name : Park and Open Space Planning
2023.03 ~ 2023.06 : Teaching Assistant of Google Earth Engine, Deep learning for class
- Class name : Urban Ecology
- Class name : Park and Open Space Planning
2024.01 : Attendee of the Consumer Electronics Show (CES) in Las Vegas, United States
- Funding source : Integrated Major in Smart City Global Convergence, Seoul National University
- Title : System and method for city-scale tree mapping using 3-channel images and multiple deep learning
2024.01 : Attendee of the Neo-city Empowerment Forum (NEF) in Orlando, United States
- Funding source : Integrated Major in Smart City Global Convergence, Seoul National University
- Title : Smart Sensing of City Trees via Multiple Platforms and Deep Learning