Research Professor Alumni

Jinah Eom 


> Yonsei University (Remote Sensing) Earth System Sciences (Ph.D). 2016 


> Korea Institute of Ocean SCience and Technology (KIOST). 2017 

> Natural Science Research Institute of Yonsei University. 2009 

> Groundwater and Soil Environments Research Institute of        

    Yonsei University. 2009 

> Natural Science Research Institute of Yonsei University. 2008 


> Research topic

    - Ocean color remote sensing (suspended sediment monitoring) 

    - Coastal remote sensing (Tidal flat monitoring) 


> E-mail: jina9003@kangwon.ac.kr 

1) Wahyu, Luqmanul Hakim.; Arief, Rizqiyanto Achmad.; Jinah, Eom.; and Chang-Wook, Lee.(2020): Land Subsidence Measurement of Jakarta Coastal Area Using Time Series Interferometry with Sentinel-1 SAR Data, Journal of Coastal Research, Vol.102, No.Sp1, pp. 75-81 .

2) Arief R, Achmad,; Seulki, Lee.; Sungjae, Park.; Jinah, Eom.; and Chang-Wook, Lee.(2020): Estimating the potential risk of the Mt. .Baekdu Volcano using a synthetic interferogram and the LAHARZ inundation zone, Geosciences Journal, Vol.24, No.6, pp. 755-768 .

3) Eom, Jinah., Park, Sungjae., Ko, Bokyun., Lee, Chang-Wook.*(2020): Monitoring of Lake area Change and Drought using Landsat Images and the Artificial Neural Network Method in Lake Soyang, Chuncheon, Korea, The Journal of the Korean Earth Science Society, Vol. 41, No. 2, pp. 129-136.

Master Degree Alumni

Prima Riza Kadavi 


> Kangwon National University Division of Science Education (Master). 2019

      - Application of Machine Learning Technique for Groundwater Potential Mapping

> Jenderal Soedirman University Geological Engineering, (Bachelor). 2016 


>Research topic 

      - Remote sensing data for land cover classification in volcano area 

      - GIS modelling for landslide susceptibility 


> E-mail : rizakadavi@gmail.com 

1) Syifa, M., Kadavi, P.R., Lee, C.-W.; Alamri, A.M. (2020): Landsat images and artificial intelligence techniques used to map volcanic ashfall and pyroclastic material following the eruption of Mount Agung, Indonesia , Arabian Journal of Geosciences, Vol. 13, Issue. 3, pp. 133.

2) Kadavi, P.-R, Lee, C.-W, S.-R. Lee (2019): Landslide-susceptibility mapping in Gangwon-do, South Korea, using logistic regression and decision tree models, Environmental Earth Sciences, Vol. 78, NO. 116.

3) Syifa, M, Kadavi, P.-R, Lee, C.-W (2019): An Artificial Intelligence Application for Post-Earthquake Damage Mapping in Palu, Central Sulawesi, Indonesia, Sensors, Vol. 19, NO. 3, 542.

4) Kadirhodjaev, A.-Z., Kadavi, P.-R, Lee, C.-W & S.-R. Lee (2018): Analysis of the relationships between topographic factors and landslide occurrence and their application to landslide susceptibility mapping: a case study of Mingchukur, Uzbekistan, Geosciences Journal, Vol. 22, NO. 6, 1053–1067.

5) Oh, H.-J., Kadavi, P.-R, Lee, C.-W & S.-R. Lee (2018): Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine models, Geomatics, Natural Hazards and Risk, Vol. 9, NO. 1, 1053–1070.

6) Park, S.-J., Kadavi, P.-R, C.-W. Lee*(2018): Landslide Susceptibility Apping and Comparison Using Probabilistic Models: A Case Study of Sacheon, Jumunzin Area, Korea , Korea Journal of Remote Sensing, Vol. 34, No. 5, 721-738.

7) Prima Riza, K. and Lee, C.-W and S.-R. Lee (2018): Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping, Remote Sensing, 10(8), 1252.

8) Prima Riza, K. and Lee, C.-W( 2018): Land cover classification analysis of volcanic island in Aleutian Arc using an Artificial Neural Network (ANN) and a Support Vector Machine (SVM) from Landsat imagery, Geosciences Journal, Vol. 22, Issue 4, pp 653–665.

9) Prima Riza, K., W.-J, Lee and Lee, C.-W (2017): Analysis of the Pyroclastic Flow Deposits of Mount Sinabung and Merapi Using Landsat Imagery and the Artificial Neural Networks Approach. Applied Sciences, Vol.7, No.9, 935-949.

Mutiara Syifa


> Kangwon National University Division of Science Education (Master). 2020

      - Earth Science and Remote Sensing Analysis from Educational and Scientific Perspectives in Addressing Natural Disasters

> Indonesia University of Education Division of Physics Education (Bachelor). 2017


>Research topic 

      - Monitoring of topographic change of sandbar 


> Email : mutiarsyifa@gmail.com

1) Syifa, M.; Panahi, M.; Lee, C.-W. (2020): Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA , Remote Sensing, Vol. 12, Issue. 4, pp. 623.

2) Syifa, M., Kadavi, P.R., Lee, C.-W.; Alamri, A.M. (2020): Landsat images and artificial intelligence techniques used to map volcanic ashfall and pyroclastic material following the eruption of Mount Agung, Indonesia , Arabian Journal of Geosciences, Vol. 13, Issue. 3, pp. 133.

3) Oh, H.-J.; Syifa, M.; Lee, C.-W., and Lee, S. (2019): Ruditapes philippinarum Habitat Mapping Potential Using SVM and Naïve Bayes , Journal of Coastal Research, Special Issue No. 90, pp. 41-48.

4) Eom, J.; Park, W.; Syifa, M.; Lee, C., and Yoon, S. (2019): Monitoring Variation in Sea Surface Temperature in the Nakdong River Estuary, Korea, Using Multiple Satellite Images ,Journal of Coastal Research, Special Issue No. 90, pp. 183-189

5) Syifa, M.; Park, S.-J.; Achmad, A.-R.; Lee, C.-W., and Eom, J. (2019): Flood Mapping Using Remote Sensing Imagery and Artificial Intelligence Techniques: A Case Study in Brumadinho, Brazil , Journal of Coastal Research, Special Issue No. 90, pp. 197-204.

6) Achmad, A.R.; Syifa, M.; Park, S.J.; and Lee, C.W. (2019): Geomorphological Transition Research for Affecting the Coastal Environment due to the Volcanic Eruption of Anak Krakatau by Satellite Imagery , Journal of Coastal Research, Special Issue No. 90, pp. 214-220.

7) Park, S.-J.; Achmad, A.R.; Syifa, M., and Lee, C.-W. (2019): Machine Learning Application for Coastal Area Change Detection in Gangwon Province, South Korea Using High-Resolution Satellite Imagery , Journal of Coastal Research, Special Issue No. 90, pp. 228-235.

8) Lee, S.; Syifa, M.; Koo, B.J.; Lee, C.-W., and Oh, H.-J. (2019): Spatial Macrobenthos Habitat on Ganghwa Tidal Flat, Korea: Part II - Habitat Potential Mapping of Potamocorbula laevis Using Probability Models , Journal of Coastal Research, Special Issue No. 90, pp. 401-408.

9) Oh, H.-J.,Syifa, M, Lee, C.-W & S.-R. Lee (2019): land subsidence susceptibility mapping using Bayesian, Functional, and Meta-Ensemble Machine Learning Models, Applied Sciences, Vol. 9, NO. 6, 1248.

10) Syifa, M, Kadavi, P.-R, Lee, C.-W (2019): An Artificial Intelligence Application for Post-Earthquake Damage Mapping in Palu, Central Sulawesi, Indonesia, Sensors, Vol. 19, NO. 3, 542.

10) Syifa, M, Kadavi, P.-R, Lee, C.-W (2019): An Artificial Intelligence Application for Post-Earthquake Damage Mapping in Palu, Central Sulawesi, Indonesia, Sensors, Vol. 19, NO. 3, 542.

Arief Rizqiyanto Achmad 


> Kangwon National University Division of Science Education (Master). 2020

> Indonesia University of Education Division of Physics (Bachelor). 2018


> Research Topic 

    - Hazard Assessment for post-eruption of volcano and post-flood mapping


> Email : ariefrizqiyanto@kangwon.ac.kr

1) Wahyu, Luqmanul Hakim.; Arief, Rizqiyanto Achmad.; Jinah, Eom.; and Chang-Wook, Lee.(2020): Land Subsidence Measurement of Jakarta Coastal Area Using Time Series Interferometry with Sentinel-1 SAR Data, Journal of Coastal Research, Vol.102, No.Sp1, pp. 75-81 .

2) Arip, Syaripudin Nur.; Arief, Rizqiyanto Achmad.; and Chang-Wook, Lee.(2020): Land Subsidence Measurement in Reclaimed Coastal Land: Noksan Using C-Band Sentinel-1 Radar Interferometry, Journal of Coastal Research, Vol.102, No.sp1, pp. 218-223 .

3) Wahyu, Luqmanul Hakim.; Arief, Rizqiyanto Achmad.; and Chang-Wook, Lee.(2020): Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data, remote sensing, Vol.12, No.21, pp. 1-25 .

4) Muhammad, Fulki Fadhillah.; Arief, Rizqiyanto Achmad.; and Chang-Wook, Lee.(2020): Integration of InSAR Time-Series Data and GIS to Assess Land Subsidence along Subway Lines in the Seoul Metropolitan Area, South Korea, remote sensing, Vol.12, No.21, pp. 1-25 .

5) Arief R, Achmad,; Seulki, Lee.; Sungjae, Park.; Jinah, Eom.; and Chang-Wook, Lee.(2020): Estimating the potential risk of the Mt. .Baekdu Volcano using a synthetic interferogram and the LAHARZ inundation zone, Geosciences Journal, Vol.24, No.6, pp. 755-768 .

Undergraduates Alumni

Hyeonwoo Ji


> Kangwon National University Division of Science Education


> Email : wower854@kangwon.ac.kr 

Eunchae Lee


> Kangwon National University Division of Science Education


> Email : edp125@kangwon.ac.kr

Minsu Song


> Kangwon National University Division of Science Education 


> Email : song900634@naver.com

Hongjun Byun


> Kangwon National University Division of Science Education


> Email : goodhongjun@gmail.com

Jongseong Song


> Kangwon National University Division of Science Education


> Email : whdtjd8626@naver.com

Research Assistant Alumni

Subin Ryoo


> Kangwon National University Earth Observation Laboratory (Assistance Research). 2017 ~ 2020


> Email : plumerry@kangwon.ac.kr


- Head of laboratory accounting 

- Research fund computation system the person in charge 

- Website construction and management (https://www.keol.kr/) 

- Online journal editorial secretary (http://www.geodata.kr/) 

- Logo, panel, and pamphlet production (Photoshop & Illustration) 

- 3D modeling of 3D terrain information 

- GIS research assistance in geological field 

- Holding various seminars and workshops

- Proposal design

1) Syifa, M., Ryoo, S.-B., Lee, C.-W. (2019): Post-Earthquake Damage Mapping Using Artificial Neural Network and Support Vector Machine Classifiers at Palu, Indonesia. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium.

2) Lee, C.-W., Lee, S.-K, Park, S.-J., Ryoo, S.-B. (2018): Apparatus and method for analyzing dangerous of floodi2) Lee, C.-W., Lee, S.-K, Park, S.-J., Ryoo, S.-B. (2018): Apparatus and method for analyzing dangerous of flooding or drought using machine-learning. 10-2018-0131526ng or drought using machine-learning. 10-2018-0131526

Kangwon National University Earth Observation Laboratory 

 KNU Chuncheon Campus 1, Gangwondaehakgil, Chuncheon-si, 24341 Republic of Korea 

 Kangwon National University College of Education #4 - 301. TEL : +82.33.250.7923

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