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Joong-Sun Won

Joong-Sun Won

D-Index & Metrics

Earth Science

D-Index
30
Citations
4912
World Ranking
9050
National Ranking
15

Overview

Joong-Sun Won is affiliated with Yonsei University in South Korea and specializes in engineering with a focus on aerospace and environmental engineering. Their research contributions primarily center around synthetic aperture radar (SAR) applications and techniques, with significant work also spanning advanced SAR imaging techniques and remote sensing in environmental contexts.

The scientist's main fields of study include:

  • Engineering

Within these fields, their subfields of study encompass:

  • Aerospace Engineering
  • Environmental Engineering
  • Atmospheric Science
  • Oceanography
  • Management, Monitoring, Policy and Law

Key research topics pursued by Joong-Sun Won include:

  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Underwater Acoustics Research
  • Soil Moisture and Remote Sensing
  • 3D Surveying and Cultural Heritage
  • Arctic and Antarctic ice dynamics
  • Climate change and permafrost

Notable recent papers by the scientist demonstrate a diverse application of remote sensing and SAR technology in environmental monitoring and geospatial analysis:

  • Classification of sea ice types in Sentinel-1 synthetic aperture radar images, 2020, published in The Cryosphere
  • InSAR time-series analysis and susceptibility mapping for land subsidence in Semarang, Indonesia using convolutional neural network and support vector regression, 2023, published in Remote Sensing of Environment
  • Acceleration Compensation for Estimation of Along-Track Velocity of Ground Moving Target from Single-Channel SAR SLC Data, 2020, published in Remote Sensing
  • Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region, 2025, published in GIScience & Remote Sensing
  • An Atmospheric Correction Using High Resolution Numerical Weather Prediction Models for Satellite-Borne Single-Channel Mid-Wavelength and Thermal Infrared Imaging Sensors, 2020, published in Remote Sensing

Joong-Sun Won frequently collaborates with several researchers in their field, including:

  • Wahyu Luqmanul Hakim
  • Muhammad Fulki Fadhillah
  • Chang-Wook Lee
  • Wook Park
  • Hyung-Sup Jung

The scientist's work has been published predominantly in peer-reviewed journals specializing in geospatial science, remote sensing, and environmental monitoring. Frequent publication venues include:

  • Remote Sensing
  • The Cryosphere
  • Remote Sensing of Environment
  • GIScience & Remote Sensing
  • Journal of Coastal Research

Best Publications

  • Determination and application of the weights for landslide susceptibility mapping using an artificial neural network

    Saro Lee;Joo Hyung Ryu;Joong Sun Won;Hyuck Jin Park

  • Waterline extraction from Landsat TM data in a tidal flat: a case study in Gomso Bay, Korea

    Joo Hyung Ryu;Joong Sun Won;Kyung Duck Min

  • Landslide susceptibility analysis using GIS and artificial neural network

    Saro Lee;Joo Hyung Ryu;Kyungduck Min;Joong Sun Won

  • Mapping Three-Dimensional Surface Deformation by Combining Multiple-Aperture Interferometry and Conventional Interferometry: Application to the June 2007 Eruption of Kilauea Volcano, Hawaii

    H S Jung;Z Lu;J S Won;M P Poland

  • Detecting the intertidal morphologic change using satellite data

    Joo Hyung Ryu;Chang Hwan Kim;Yoon Kyung Lee;Joong Sun Won

  • An Improvement of the Performance of Multiple-Aperture SAR Interferometry (MAI)

    Hyung-Sup Jung;Joong-Sun Won;Sang-Wan Kim

  • Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea

    Saro Lee;Joo Hyung Ryu;Moung Jin Lee;Joong Sun Won

  • Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS

    Ki Dong Kim;Saro Lee;Hyun Joo Oh;Jong Kuk Choi

  • Satellite observation of coal mining subsidence by persistent scatterer analysis

    Hahn Chul Jung;Sang Wan Kim;Hyung Sup Jung;Kyung Duck Min

  • The Application of Artificial Neural Networks to Landslide Susceptibility Mapping at Janghung, Korea

    Saro Lee;Joo Hyung Ryu;Moung Jin Lee;Joong Sun Won

  • Multi-temporal monitoring of wetland water levels in the Florida Everglades using interferometric synthetic aperture radar (InSAR)

    Sang Hoon Hong;Sang Hoon Hong;Sang Hoon Hong;Shimon Wdowinski;Sang Wan Kim;Joong Sun Won

  • Validation of an artificial neural network model for landslide susceptibility mapping

    Jaewon Choi;Hyun Joo Oh;Joong Sun Won;Saro Lee

  • Ionospheric Correction of SAR Interferograms by Multiple-Aperture Interferometry

    Hyung-Sup Jung;Dong-Taek Lee;Zhong Lu;Joong-Sun Won

  • Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea

    Jong Kuk Choi;Ki Dong Kim;Saro Lee;Joong Sun Won

  • Ensemble-based landslide susceptibility maps in Jinbu area, Korea

    Moung Jin Lee;Jae Won Choi;Hyun Joo Oh;Joong Sun Won

  • Measurements and predictions of subsidence induced by soil consolidation using persistent scatterer InSAR and a hyperbolic model

    Sang Wan Kim;Sang Wan Kim;Shimon Wdowinski;Timothy H. Dixon;Falk Amelung

  • Classification of sea ice types in Sentinel-1 synthetic aperture radar images

    Jeong Won Park;Anton Andreevich Korosov;Mohamed Babiker;Joong Sun Won

  • A critical grain size for Landsat ETM+ investigations into intertidal sediments: a case study of the Gomso tidal flats, Korea

    Joo Hyung Ryu;Young Ho Na;Joong Sun Won;Roland Doerffer

  • Interferometric Coherence Analysis of the Everglades Wetlands, South Florida

    Sang-Wan Kim;Shimon Wdowinski;Falk Amelung;Timothy H. Dixon

  • Spatial Landslide Hazard Prediction Using Rainfall Probability and a Logistic Regression Model

    Saro Lee;Joong Sun Won;Seong Woo Jeon;Inhye Park

Frequent Co-Authors

Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Zhong Lu
Zhong Lu Southern Methodist University
Shimon Wdowinski
Shimon Wdowinski Florida International University
Falk Amelung
Falk Amelung University of Miami
Timothy H. Dixon
Timothy H. Dixon University of South Florida
Daniel Dzurisin
Daniel Dzurisin United States Geological Survey
Asta Miklius
Asta Miklius United States Geological Survey
Michael P. Poland
Michael P. Poland United States Geological Survey
Paul Lundgren
Paul Lundgren California Institute of Technology
Jhoon Kim
Jhoon Kim Yonsei University

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