Chang Wook Lee

Assistant Professor


Division of Science Education

Kangwon National University 1 

 Kangwondaehak-gil, Chuncheon-si, 

Gangwon-do 24341, Republic of Korea 

 Tel : +82-33-250-6731 

 Fax : +82-33-259-5600

 E-mail : cwlee@kangwon.ac.kr 

Education


Sep. 2003. – Aug. 2009.

Ph.D. (Remote sensing) : Earth System Sciences, Yonsei University, Seoul, Korea.

Paper: Time Series InSAR Techniques for Mapping Surface Deformation on the Augustine and Seguam Volcanoes in the Aleutian Islands, Alaska 

Major Research Field : Monitoring of time series displacement using satellite image


Mar. 2000. – Aug. 2002.

M.S. (Remote sensing) : Earth System Sciences, Yonsei University, Seoul, Korea. 

Paper: Estimation of Ground Subsidence Rate in Reclaimed Land by L-band JERS-1 SAR 

Major Research Field: Estimation of Ground Subsidence Rate in Reclaimed Land by lader interfering technique


Mar. 1993. – Feb. 2000.

B.S. (Geology) : Geology, Kangwon National University, Gangwon-do, Korea. 


Experience Summary


Feb. 2015. – Now            

Assistant professor, Kangwon National University, Gangwon-do, Korea 


Sep. 2012. – Feb. 2015.      

Weather researcher, National Institute of Meteorological Research, Jeju, Korea 


Sep. 2011. – Aug. 2012.       

Researcher professor, University of Seoul, Geoinfoematics, Seoul, Korea 


Sep. 2009. – Aug. 2011.      

Postdoctoral researcher, (U.S. Geological Survey (USGS)) 

 → Monitoring of Precise Time Series Surface Displacement Using the Latest Radar Interferometry SBAS and PSInSAR 


Sep. 2005. – Oct. 2006.   

Visiting scientist, (USGS National Center for Earth Resources Observation and Science) 

 → Monitoring of geological disasters using DInSAR technique, 

 → Monitoring on the surface displacements of the Alaska Augustine volcanic island 


Mar. 2003. – Feb. 2006. / Mar. 2007. – Aug. 2009.    

Researcher, Natural Science Research Institute of Yonsei University, Seoul, Korea



Research Paper (International Journal)


 1) 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.

 2) Azeez, O.S., Pradhan, B., Shafri, H.Z.M., Shukla, N., Lee, C.-W., Rizeei, H.M. (2019): Modeling of CO Emissions from Traffic Vehicles Using Artificial Neural Networks, Applied Sciences, Vol. 9, NO. 2, 313.

 3) 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.

 4) Pourghasemi, H.-R., Gayen, A.-M, Park, S.-J, Lee, C.-W & S.-R. Lee (2018): Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms, Sustainability, Vol. 10, NO. 10, 3697.

 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., Lee, C.-W, S.-R. Lee and Lee, M.-J (2018): Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea, Remote Sensing, 10(10), 1545.

 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) Lee, W.-J and Lee, C.-W (2018): Forest Canopy Height Estimation Using Multiplatform Remote Sensing dataset, Journal of Sensors.

 10) Lee, C.-W, Z. Lu, J.-W, Kim and S.-J, Park (2018): Mapping Pyroclastic Flow Inundation Using Radar and Optical Satellite Images and Lahar Modeling, Journal of Sensors.

 11) 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.

 12) Lee, S.-K, M.-J. Cho and C.-W. (2016): An Effective Gap Filtering Method for Landsat ETM+ SLC-off Data, Terr. Atmos. Ocean. Sci. Journal.

 13) Lee, S.-R. and C.-W. (2015): Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping, Sustainability.

 14) Lee, S.-K, Lee, C.-W., and S.-R. Lee (2015): A comparison of the Landsat image and LAHARZ-simulated lahar inundation hazard zone by the 2010 Merapi eruption,Bulletin of Volcanology, DOI 10.1007/s00445-015-0920-4.

 15) Gong, W., F.J. Meyer, C.-W. Lee, Z. Lu and J. Freymueller (2015): Measurement and interpretation of subtle deformation signals at Unimak Islandfrom 2003 to 2010 using weathermodel-assisted time series InSAR, Journal of Geophysical Research, 120, 1174–1194.

 16) Lee, C.-W. (2014): Time-series analysis from multi-interferogram InSAR processing of Baekdusan volcano from 1992 to 1998, Terr. Atmos. Ocean. Sci. Journal.

 17) Lee, C.-W., Z. Lu, J.-S. Won, H.-S. Jung, and D. Dzurisin (2013): Dynamic deformation of Seguam Volcano, Alaska, 1992-2008, from multi-interferogram InSAR processing, Journal of Volcanology and Geothermal Research, Vol. 260, 43-51.

 18) Lee, C.-W., Z. Lu, H.-S. Jung, and D. Dzurisin (2012): Simulation of time series surface deformation to validate multi-interferogram InSAR processing technique, International Journal of Remote Sensing, Vol. 33, No. 22, 7075-7087.

 19) Song, K.-Y, H.-J.Oh, J.-W.Choi, I.-H. Park, C.-W. Lee, S.Lee( 2012): Prediction of landslides usingASTER imagery and data mining models, Advances In Space Research, doi:10.1016/j.asr.2011.11.035.

 20) Lei,Z., Z.Lu, X.Ding, H.-S.Jung, and G.Feng, and C.-W., Lee (2011): Mapping ground surface deformation using temporarily coherent point SAR interferometry: application to Los Angeles Basin, Remote Sensing of Environment, DOI:10.1016/j.rse.2011.10.020.

 21) Choi, J.-W, H.-J.Oh, H.-J. Lee, C.-W. Lee, S. Lee (2011): Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS, Engineering Geology, DOI:10.1016/j.enggeo.2011.09.011.

 22) Lee, C.-W., Z. Lu, H.-S. Jung, J.-S. Won, and D. Dzurisin (2011): Surface deformation of Augustine Volcano 1992-2005 from multiple-interferogram processing using a refined small baseline subset (SBAS) Interferometric synthetic aperture radar (InSAR) approach, chap. 18 of Power, J.A., Coombs, M.L., and Freymueller, J.T., eds., The 2006 eruption of Augustine Volcano, Alaska: U.S. Geological Survey Professional Paper, 2010-1769, 453-465.

 23) Lee, C.-W., Z. Lu, O.-I Kwoun, and J.-S. Won (2008): Deformation of Augustine Volcano, Alaska, 1992-2005, measured by ERS and ENVISAT SAR Interferometry, Earth Planets and Space, 60, pp. 447-452.

 24) Kim, S.-W., C.-W. Lee, K.-Y. Song, K.-D. Min, and J.-S. Won (2005): Application of L-band SAR Differential Interferometry to the Subsidence Rate Estimation in a Reclaimed Coastal Land, International Journal of Remote Sensing, 26(7), 1363-1381.

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