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.

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