Research Paper
Research Paper

International Journal

Fadhillah, M. F., Hakim, W. L., Panahi, M., Rezaie, F., Lee, C. W., & Lee, S. (2022). Mapping of landslide potential in Pyeongchang-gun, South Korea, using machine learning meta-based optimization algorithms. The Egyptian Journal of Remote Sensing and Space Science, 25(2), 463-472.

Panahi, M., Rahmati, O., Kalantari, Z., Darabi, H., Rezaie, F., Moghaddam, D. D., ... & Lee, S. (2022). Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models. Journal of Hydrology, 128001.

Panahi, M., Khosravi, K., Golkarian, A., Roostaei, M., Barzegar, R., Omidvar, E., ... & Lee, S. (2022). A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning. Geocarto International, (just-accepted), 1-18.

Hakim, W.L., Ramayanti, S., Park, S., Ko, B., Cheong, D.-K., Lee, C.-W*.(2022) Estimating the Pre-Historical Volcanic Eruption in the Hantangang River Volcanic Field: Experimental and Simulation Study. Remote Sensing, 14, 894.

Hakim, W. L., Nur, A. S., Rezaie, F., , Panahi, M., Lee, C. W., & Lee, S. (2022). Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea. Journal of Hydrology: Regional Studies, 39, 100990.

Hakim, W. L., Rezaie, F., Nur, A. S., Panahi, M., Khosravi, K., Lee, C. W., & Lee, S. (2022). Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea. Journal of environmental management, 305, 114367.

Fadhillah, M. F., Achmad, A. R., & Lee, C. W. (2021). Improved Combined Scatterers Interferometry with Optimized Point Scatterers (ICOPS) for Interferometric Synthetic Aperture Radar (InSAR) Time-series Analysis. IEEE Transactions on Geoscience and Remote Sensing.

Pradhan, B., Ahmed, A. A., Chakraborty, S., Alamri, A., & Lee, C. W. (2021). Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data. Journal of Sensors, 2021.

Hakim, W. L., Lee, S. K., & Lee, C. W. (2021, July). Land Subsidence Monitoring in Semarang, Indonesia through Optimized Hot Spot Analysis based on Time-Series InSAR Processing. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 3789-3792). IEEE.

Serbouti, I., Raji, M., Hakdaoui, M., Pradhan, B., Lee, C. W., & Alamri, A. M. (2021). Pixel and Object-based Machine Learning Classification Schemes for Lithological Mapping Enhancement of Semi-Arid Regions using Sentinel-2A Imagery: A Case Study of the Southern Moroccan Meseta. IEEE Access.

Namous, M., Hssaisoune, M., Pradhan, B., Lee, C. W., Alamri, A., Elaloui, A., ... & Tagma, T. (2021). Spatial Prediction of Groundwater Potentiality in Large Semi-Arid and Karstic Mountainous Region Using Machine Learning Models. Water, 13(16), 2273.

Lee, S., Eom, J., Syifa, M., Park, S. J., Park, Y. C., & Lee, C. W. (2021). Assessing the effects of external factors on sediment erosion and accumulation in an estuarine environment based on images from unmanned aerial vehicles: Namdaecheon, South Korea. Geosciences Journal, 1-13.

Ahmed, A. A., Pradhan, B., Chakraborty, S., Alamri, A., & Lee, C. W. (2021). An optimized Deep Neural Network Approach for Vehicular Traffic Noise Trend Modelling. IEEE Access.

Panahi, M., Khosravi, K., Ahmad, S., Panahi, S., Heddam, S., Melesse, A. M., ... & Lee, C. W. (2021). Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran. Journal of Hydrology: Regional Studies, 35, 100825.

Han, J., Nur, A. S., Syifa, M., Ha, M., Lee, C. W., & Lee, K. Y. (2021). Improvement of Earthquake Risk Awareness and Seismic Literacy of Korean Citizens through Earthquake Vulnerability Map from the 2017 Pohang Earthquake, South Korea. Remote Sensing, 13(7), 1365.

Fadhillah, M. F., Lee, S., Lee, C. W., & Park, Y. C. (2021). Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea. Remote Sensing, 13(6), 1196.

Syifa, M., Kadavi, P. R., Park, S. J., & Lee, C. W. (2020). A survey of sediment fineness and moisture content in the soyang lake floodplain using GPS data. Engineering. Vol. 7, Issue 2, pp. 252-259 .

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 .

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 .

Alireza, Vafaeinejad.; Samira, Bolouri .; Ali, Asghar Alesheikh.; Mahdi, Panahi.; and Chang-Wook, Lee.(2020): The Capacitated Location-Allocation Problem Using the VAOMP (Vector Assignment Ordered Median Problem) Unified Approach in GIS (Geospatial Information Systam), applied sciences, Vol.10, No.23, pp. 1-22 .

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 .

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 .

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 .

Mutiara, Syifa.; Sung-Jae, Park.; and Chang-Wook, Lee.(2020): Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Techniques, Engineering, Vol. 6, Issue. 8, pp. 919-926 .

Esmaeel, Dodangeh.; Mahdi, Panahi.; Fatemeh, Rezaie.; Saro, Lee.; Dieu, Tien Bui.; Chang-Wook, Lee.; and Biswajeet, Pradhan.(2020): Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search, Journal of Hydrology, Vol. 590, pp. 1-14 .

Ratiranjan, Jena.; Biswajeet, Pradhan.; Abdullah, Al‐Amri,; Chang Wook, Lee.; and Hyuck‐jin, Park. (2020): Earthquake Probability Assessment for the Indian Subcontinent Using Deep Learning, Sensors, Vol. 20, Issue. 16, pp. 1-23 .

Ali, Mutar Fanos.; Biswajeet, Pradhan.; Abdullah Alamri .; and Chang-Wook, Lee.  (2020): Machine Learning-Based and 3D Kinematic Models for Rockfall Hazard Assessment Using LiDAR Data and GIS , Remote Sens. 2020, 12(11), 1755.

Syifa, M.; Panahi, M.; and 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. 1-20.

Syifa, M.; Kadavi, P.R.; Lee, C.-W.; and 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.

Hakdaoui, S.; Emran, A.; Pradhan, B.; Qninba, A.; Balla, T.E.; Mfondoum, A.H.N.; Lee, C.-W.; Alamri, A.M. (2020): Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using Machine Learning Classification in Google Earth Engine , Remote Sensing, Vol. 12, NO. 1, 131.

Ghodousi, M.; Alesheikh, A.A.; Saeidian, B.; Pradhan, B.; Lee, C.-W. (2019): Evaluating Citizen Satisfaction and Prioritizing Their Needs Based on Citizens’ Complaint Data , Sustainability, Vol. 11, NO. 17, 4595.

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.

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.

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.

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.

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.

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.

Hakdaoui, S.; Emran, A.; Pradhan, B.; Lee, C.-W.; Nguemhe Fils, S.C. (2019): A Collaborative Change Detection Approach on Multi-Sensor Spatial Imagery for Desert Wetland Monitoring after a Flash Flood in Southern Morocco , Remote Sensing, Vol. 11, NO. 9, 1042.

Arabameri, A.; Pradhan, B.; Rezaei, K.; Lee, C.-W. (2019): Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-Based FR–RF Integrated Model and Multiresolution DEMs , Remote Sensing, Vol. 11, NO. 9, 999.

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.

Noori, L.; Pour, A.B.; Askari, G.; Taghipour, N.; Pradhan, B.; Lee, C.-W.; Honarmand, M (2019): Comparison of Different Algorithms to Map Hydrothermal Alteration Zones Using ASTER Remote Sensing Data for Polymetallic Vein-Type Ore Exploration: Toroud–Chahshirin Magmatic Belt (TCMB), North Iran, Remote Sensing, Vol. 11, NO. 5, 495.

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.

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.

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.

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.

Lee, S.-K., C.-W. Lee*(2018): Analysis of the relationship between volcanic eruption and surface deformation in volcanoes of the Alaskan Aleutian Islands using SAR interferometry , Geoscience Journal, Vol. 22, No. 6, 1069-1080.

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.

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.

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.

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.

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.

Lee, W.-J and Lee, C.-W (2018): Forest Canopy Height Estimation Using Multiplatform Remote Sensing dataset, Journal of Sensors, Vol.2018, 1593129.

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. Vol.2018, 8217565.

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.

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, Vol.27, No.6, 921-932.

Lee, S.-R. and C.-W. (2015): Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping, Sustainability, 7(10), 13416-13432

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.

Gong, W., F.J. Meyer, C.-W. Lee, Z. Lu and J. Freymueller (2014): 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.

Lee, C.-W. (2014): Baekdusan Volcano Time-Series Analysis from 1992 to 1998 Using Multi-Interferogram InSAR Processing, Terr. Atmos. Ocean. Sci. Journal, Vol.25 Issue 6, p743-754.

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.

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.

Kyo-Young, Song., Hyun-Joo, Oh., Jaewon, Choi., Inhye, Park., Changwook, Lee., and Saro, Lee., (2012): Prediction of landslides using ASTER imagery and data mining models, Volume 49, Issue 5, 1 March 2012, Pages 978-993.

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.

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.

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.

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.

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


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