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About Me

Curriculum Vitae

by 권령섭 2024. 12. 3.

Ryoungseob Kwon

Seoul, Republic of Korea

twinsben94@snu.ac.kr

Vision

Sense and Design the Story of the Land.

Research Interest

Landscape Mapping, Remote Sensing, Vegetation Phenology, Geospatial Analysis, Artificial Intelligence

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)

License

  • 2018.12 : Korean Engineer in Landscape Architecture (조경기사)
  • 2020.09 : Korean Engineer in Nature Environment and Ecological Restoration (자연생태복원기사)
  • 2024.11 : Pilot of an Ultra Light Vehicle (초경량비행장치 조종자 1종)

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 Conference

  • 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.
  • Kim, Y., Ryu, Y., Jeong, S., Zhang, H., Li, X., Wan, L., Kwon, R. (2024, June). Rapid Recovery of Leaf Area After the 2019 Wildfire in Alaska Captured by Remote Satellite Observations. In KSAFM Conference.
  • Hahn, S., Ryu, Y., Jeong, S., Kong, J., Choi, W., Kwon, R. (2024, June). High Spatiotemporal Resolution Satellite Data Reveal an Underestimation of Deforestation in Southeast Asian Tropical Forests. In AOGS Conference.
  • Kwon, R., Ryu, Y., Jo, S., & Lee, K. (2024, December). Fake Optical Images Synthesized from SAR Images using Diffusion Networks Enhanced the Accuracy of In-Season Rice Paddy Mapping in South Korea. In Fall Meeting 2024. AGU.
  • Jo, H., Ryu, Y., Kwon, R., Zhang, H. & Lee, K. (2024, December). Exploring the Growth Metrics Derived from the Greenness and Water Content Composite Index(GWCCI) as an Accurate Estimator of Soybean Yield. In Fall Meeting 2024. AGU.
  • Jo, S., Ryu, Y., Kwon, R., Choi, C. & Lee, K. (2024, December). Estimating the growth stages of rice paddies in Korea using Sentinel-1/2 and street view images. In Fall Meeting 2024. AGU.
  • Bae, J., Ryu, Y., Kwon, R. & Lee, K. (2024, December). Improving the Classification Accuracy of Wheat and Barley Using New Spectral Features in Time Series. In Fall Meeting 2024. AGU.
  • Hahn, S., Ryu, Y., Jeong, S., Kong, J., Choi, W. & Kwon, R. (2024, December) High Spatiotemporal Resolution Satellite Fusion Data Reveal Deforestation Underestimation in Southeast Asian Tropical Forests. In Fall Meeting 2024. AGU.

Patents

  • To be updated (출원 완료, 등록 진행중) : Tree information detection method and apparatus using DL-based individual tree point cloud acquisition through the generation of fake forest point cloud training data
  • 2024.07 : 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 : 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 : 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)

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 : Startup Competition Encouragement Award from the College of Agriculture and Life Sciences at Seoul National University
  • 2023.06 : ESG Smart City Startup 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
  • 2024.07 : Generative AI & Public Data Startup Competition Encouragement Award from Gyeonggi-do, 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
  • Geographic Information System : QGIS, ArcGIS
  • Satellite Data Processing : Google Earth Engine
  • LiDAR Data Processing : CloudCompare, REGISTER360
  • Modeling : AutoCAD, Photoshop, Rhinoceros, V-Ray

Other Skills

To be updated.

Languages

  • Korean : Native
  • English : Intermediate Fluency

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

 

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