ÌìÃÀ´«Ã½

Education

Ph.D.               Geodetic Science                  The Ohio State University, Columbus, OH, USA, 2013
M.S.                Remote Sensing & GIS          Yonsei University, Seoul, Korea, 2007
B.S.                 Civil Engineering                   Yonsei University, Seoul, Korea, 2005

Career History

10/2015-present                      Research Scientist
                                             School of Earth Sciences, ÌìÃÀ´«Ã½ Methodist University

02/2014-09/2015                     Post Doctoral Fellow
                                             School of Earth Sciences, ÌìÃÀ´«Ã½ Methodist University

08/2013-02/2014                    Post Doctoral Fellow
                                             School of Earth Sciences, The Ohio State University

09/2010-08/2013                    NASA Earth and Space Science Fellowship
                                             School of Earth Sciences, The Ohio State University

09/2008-08/2010                    Graduate Research Assistant
                                             School of Earth Sciences, The Ohio State University

09/2007-08/2008                    Department Fellowship
                                             School of Earth Sciences, The Ohio State University

03/2005-02/2007                    Graduate Teaching & Research Assistant
                                             Remote Sensing & GIS Lab., Yonsei University

Award

• NASA Earth and Space Science Fellowship
• Distinguished Senior PhD Student Award at Ohio State University 

Research Highlights

References

Kim, J.-W., Lu, Z., and Kaufmann, J. Evolution of sinkholes over Wink, Texas, observed by high-resolution optical and SAR imagery. Remote Sensing of Environment, 222, 119-132, doi:  10.1016/j.rse.2018.12.028, 2019. 

Shi, Y., Tang, Y.M., Lu, Z., Kim, J.W., and Peng, J.H. Subsidence of sinkholes in Wink, Texas from 2007 to 2011 detected by time-series InSAR analysis, Geomatics, Natural Hazards and Risk, 10 (1), 1125-1138, doi:10.1080/19475705.2019.1566786, 2019.

Kim, J.-W. and Lu, Z. Association between localized geohazards in West Texas and human activities, recognized by Sentinel-1A/B satellite radar imagery. Scientific Reports, 8: 4727, doi: 10.1038/s41598-018-23143-6, 2018. 

List of Publications

⁴⁶Kim, J.W., Coe, J.A., Lu, Z., Avdievitch, N.N., and Hults, C.P., 2022. Spaceborne InSAR mapping of landslides and subsidence in rapidly deglaciating terrain, Glacier Bay National Park and Preserve and vicinity, Alaska and British Columbia: Remote Sensing of Environment, 281, 113231, .

⁴⁵Yang, L., Lu, Z., Zhao, C., Kim, J.W., Yang, C., Wang, B., Liu, X., and Wang, Z., 2022. Analyzing the triggering factors of glacial lake outburst floods with SAR and optical images: a case study in Jinweng Co, Tibet, China: Landslides, 19, doi:10.1007/s10346-021-01831-1.

⁴⁴Xu, Y., Lu, Z., Kim, J.W., 2021. P-Band InSAR for Geohazard Detection over Forested Terrains: Preliminary Results: Remote Sens., 13, 4575, .

⁴³Kim, J.W., and Lu, Z., 2021. Sinkholes in Wink, Texas, Observed by Satellite Radar Imagery, in Johnson, K. S.; Land, Lewis; and Decker, D. D. (eds.), Evaporite Karst in the Greater Permian Evaporite Basin (GPEB) of Texas, New Mexico, Oklahoma, Kansas, and Colorado: Oklahoma Geological Survey Circular 113, 105–110.

⁴²Xu, Y., Schulz, H. W., Lu, Z., Kim, J. W., and Baxstrom, K., 2021. Geologic controls of slow-moving landslides near the U.S. West Coast: Landslides, 18, doi:10.1007/s10346-021-01732-3.

⁴¹Lu, Z. and Kim, J.W., 2021. A Framework for Studying Hydrology-Driven Landslide Hazards in Northwestern US Using Satellite InSAR, Precipitation and Soil Moisture Observations: Early Results and Future Directions. GeoHazards, 2, 17–40, .

⁴⁰Kang, Y., Lu, Z., Zhao, C.Y., Xu, Y.K., Kim, J.W., and Gallegos, A.J., 2021. InSAR Monitoring of Creeping Landslides in Mountainous Regions: A Case Study in Eldorado National Forest, California, Remote Sensing of Environment, 258, 112400.

³⁹Kim, J.W., and Lu, Z., 2021. Taking the pulse of aging oil wells in the Permian Basinfrom space, Science of the Total Environment, 757, doi:10.1016/j.scitotenv.2020.143932.

³⁸Xu, Y., Lu, Z., Schulz, W.H., and Kim, J.W., 2020. Twelve-year dynamics and rainfall thresholds for alternating creep and rapid movement of the Hooskanaden landslide from integrating InSAR, pixel offset tracking, and borehole and hydrological measurements, Journal of Geophysical Research: Earth Surface, 125, e2020JF005640. .

³⁷Xu, Y.K., George, D.L., Kim, J.W., Lu, Z., Riley, M., Griffin T., and de la Fuente, J., 2020. Determining movement history, monitoring recent activity, and developing a runout simulation for the Gold Basin landslide, Landslides, doi:10.1007/s10346-020-01533-0.

³⁶Molan, Y.E., Lu, Z., and Kim, J.W., 2020. Influence of the Statistical Properties of Phase and Intensity on Closure Phase, IEEE Trans. on Geoscience and Remote Sensing, 58, 7346-7354, doi:10.1109/TGRS.2020.2982062.

³⁵Liu, Y.Y., Lu, Z., Zhao, C.Y., Kim, J.W., Zhang, Q., de la Fuente, J., 2019. Characterization of the Kinematic Behavior of Three Bears Landslide in Northern California using L-band InSAR Observations, Remote Sensing, 11, 2726, DOI:10.3390/rs11232726.

³⁴Xu, Y.K., Kim, J.W., George, D.L., and Lu, Z., 2019. Characterizing Seasonally Rainfall-Driven Movement of a Translational Landslide using SAR Imagery and SMAP Soil Moisture, Remote Sensing, 11, 2347, doi:10.3390/rs11202347.

³³Zheng, W.Y., Kim, J.W., Ali, S.T., and Lu, Z., 2019. Wastewater leakage in West Texas revealed by satellite radar imagery and numerical modeling, Scientific Reports, 9, 14601, .

³²Kang, Y., Lu, Z., Zhao, C.Y., Zhang, Q., Kim, J.W., Niu, Y.F., 2019. Diagnosis of Xinmo (China) landslide based on InSAR observation and modeling, Remote Sens., 11, 1846; doi:10.3390/rs11161846.

³¹Qu, F.F., Lu, Z., Kim, J.W., and Zheng, W.Y., 2019. Identify and monitor growth faulting using InSAR over northern Greater Houston region, Remote Sensing, Remote Sens., 11, 1498; doi:10.3390/rs11121498.

³⁰Qu, W., Zhang, B., Lu, Z., Kim, J.W., Zhang, Q., Gao, Y., Hao, M., Zhu, W., and Qu, F. Source Parameter Estimation of the 2009 Ms6.0 Yao’an Earthquake, ÌìÃÀ´«Ã½ China, Using InSAR Observations. Remote Sens., 11, 462, doi:10.3390/rs11040462, 2019.

²⁹Shi, Y., Tang, Y.M., Lu, Z., Kim, J.W., and Peng, J.H. Subsidence of sinkholes in Wink, Texas from 2007 to 2011 detected by time-series InSAR analysis, Geomatics, Natural Hazards and Risk, 10 (1), 1125-1138, doi:10.1080/19475705.2019.1566786, 2019.

²⁸Kim, J.-W., Lu, Z., and Kaufmann, J. Evolution of sinkholes over Wink, Texas, observed by high-resolution optical and SAR imagery. Remote Sensing of Environment, 222, 119-132, doi: 10.1016/j.rse.2018.12.028, 2019.

²⁷Kim, J.-W. and Lu, Z. Association between localized geohazards in West Texas and human activities, recognized by Sentinel-1A/B satellite radar imagery. Scientific Reports, 8: 4727, doi:10.1038/s41598-018-23143-6, 2018.

²⁶Navneet, S., Kim, J.-W., and Lu, Z. A new InSAR persistent scatterer selection technique using top eigenvalue of coherence Matrix. IEEE Transactions on Geoscience and Remote Sensing, 56(4), doi:10.1109/TGRS.2017.2771386, 2018.

²⁵Lee, C.-W., Lu, Z., Kim, J.-W., and Park, S.-J. Mapping pyroclastic flow inundation using radar and optical satellite images and lahar modeling. Journal of Sensors, 2018, doi: 10.1155/2018/8217565, 2018.

²⁴Eshqi Molan, Y., Kim, J.-W., Lu, Z., Wylie, B., and Zhu, Z. Modeling wildfire-induced permafrost deformation in an Alaskan boreal forest using InSAR observations. Remote Sensing, 10(3), 405, doi:10.3390/rs10030405, 2018.

²³Eshqi Molan, Y., Kim, J.-W., Lu, Z., and Agram, P. L-Band Temporal Coherence Assessment and Modeling Using Amplitude and Snow Depth over Interior Alaska. Remote Sensing, 10(1), 150, doi:10.3390/rs10010150, 2018.

²²Zhang, A., Lu, J. and Kim, J.-W. Detecting mining-induced ground deformation and associated hazards using spaceborne InSAR techniques, Geomatics, Natural Hazards and Risk, 9(1), 211–223, doi:10.1080/19475705.2017.1415229, 2018.

²¹Hu, X., Oommen, T., Lu, Z., Wang, T. and Kim, J. W. Consolidation settlement of Salt Lake County tailings impoundment revealed by time-series InSAR observations from multiple radar satellites, Remote Sensing of Environment, 202, 199–209, 2017.

²⁰Kim, J.-W., Lu, Z., Gutenberg, L., and Zhu, Z. Characterizing hydrologic changes of the Great Dismal Swamp using SAR/InSAR, Remote Sensing of Environment, 198, 187-202, 2017.

¹⁹Lee, C.W., Lu, Z., and Kim, J.W. Monitoring Mount Sinabung in Indonesia Using Multi- Temporal InSAR, Korean Journal of Remote Sensing, 33, 37-46, 2017.

¹⁸Schaefer, L.N., Wang, T., Escobar-Wolf, R., Oommen, T., Lu, Z., Kim, J., Lundgren, P.R., and Waite, G.P. Three-dimensional displacements of a large volcano flank movement during the May 2010 eruptions at Pacaya Volcano, Guatemala, Geophysical Research Letters, 44, 135-142, 2017.

¹⁷Jia, Y., Kim, J.-W., Shum, C.K., Lu, Z., Ding, X., Zhong, L., Erkan, K., Kuo, C.-Y., Shang, K., Tseng, K.-H., and Yi, Y. Characterization of Active Layer Thickening Rate over the Northern Qinghai-Tibetan Plateau Permafrost Region Using ALOS Interferometric Synthetic Aperture Radar Data, 2007–2009, Remote Sensing, 9(1), 84, 2017.

¹⁶Hu, X., Wang, T., Pierson, T.C., Lu, Z., Kim, J., and Cecere, T.H. Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery, Remote Sensing of Environment, 187, 49-61, 2016.

¹⁵Kim, J.-W. Lu, Z., and Degrandpre, K. Ongoing deformation of sinkholes in Wink, Texas, observed by time-series Sentinel-1A SAR interferometry (preliminary results), Remote Sensing, 8, 313, doi:10.3390/rs8040313, 2016.

¹⁴Tseng, K.-H., Shum, C.K., Kim, J.-W., Wang, X., Zhu, K, and Cheng, X. Integrating Landsat Imageries and Digital Elevation Models to Infer Water Level Change in Hoover Dam, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(4), 1696-1709, doi:10.1109/JSTARS.2015.2500599, 2016.

¹³Qu, F., Lu, Z., Zhang, Q., Bawden, G.W., Kim, J.-W., Zhao, C., and Qu, W. Mapping ground deformation over Houston-Galveston, Texas using multi-temporal InSAR, Remote Sensing of Environment. 169, 290-306, doi:10.1016/j.rse.2015.08.027, 2015.

¹²Kim, J.-W., Lu, Z., Qu, F. and Hu, X. Pre-2014 mudslides at Oso revealed by InSAR and multi-source DEM analysis. Geomatics, Natural Hazards and Risk. 6(3), 184-194, DOI:10.1080/19475705.2015.1016556, 2015.

¹¹Kim, J.-W., Lu, Z., Jia, Y., and Shum, C.K., Ground subsidence in Tucson, Arizona, monitored by time-series analysis using multi-sensor InSAR datasets from 1993 to 2011, ISPRS Journal of Photogrammetry & Remote Sensing, 107, 126-141, 2015.

¹⁰Lu, Z., Kim, J.-W., and Shum, C.K., Coastal Wetlands: Mapping by Interferometric Synthetic Aperture Radar (InSAR), in Encyclopedia of Natural Resources, Taylor & Francis, Volume 1, doi:10.1081/E-ENRL-120049157, ISBN 9781439852583, 2014.  

⁹Kim, J.-W., Lu, Z., Jones, J.W., Shum, C.K., Lee, H., and Jia, Y., Monitoring Everglades Freshwater Marsh Water Level Using L-band Synthetic Aperture Radar Backscatter, Remote Sensing of Environment, 150, 66-81, 2014.

⁸Kalyanapu, A., A.K.M., A., Kim, J.-W., Yigzaw, W., Hossain, F., and Shum, C.K., Towards methodology to investigate the downstream flood hazards on American River due to changes in Probable Maximum Flood due to effects of Artificial Reservoir Size and Land Use/Land Cover Patterns, Earth Interactions, 17, 1-24, 2013.

⁷Jung, H. C., Jasinski, M., Kim, J.-W., Shum, C.K., Bates, P., Neal, J., Lee, H., and Alsdorf, D., Calibration of two-dimensional floodplain modeling in the Atchafalaya River Basin using SAR interferometry, Water Resources Research, 48, W07511, doi:10.1029/2012WR011951, 2012.

⁶Lu, Z., Kim, J.-W., Lee, H., Shum, C.K., Duan, J., Ibaraki, M., Akyilmaz, O., and Read, C., Helmand River hydrologic studies using ALOS PALSAR InSAR and ENVISAT altimetry, Marine Geodesy, 32(3), 320–333, 2009.

⁵Lee, H., Shum, C.K., Yi, Y., Ibaraki, M., Kim, J.-W., Braun, A., Kuo, C., and Lu, Z., Louisiana wetland water level monitoring using retracked TOPEX/POSEIDON altimetry, Marine Geodesy, 32(3), 284–302, 2009.

⁴Kim, J.W., Lu, Z., Lee, H., Shum, C.K., Swarzenski, C., Doyle, T., and Baek, S., Integrated Analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter for mapping of absolute water level changes in Louisiana wetland, Remote Sensing of Environment, 113(11), 2356-2365, doi:10.1016/j.rse.2009.06.014, 2009.

³Heo, J., Kim, J.H., and Kim, J.W., A new methodology for measuring coastline recession using buffering and non-linear least squares estimation, International Journal of Geographical Information Science, 23(9), 1165-1177, 2009.

²Heo, J., Kim, J.W., Park, J.S., and Sohn, H.G., New line accuracy assessment methodology using nonlinear least-squares estimation, Journal of Surveying Engineering-ASCE, 134(1), 13–20, 2008.

¹Heo, J., Kim, J.W., Pattnaik, S., and Sohn, H.G., Quality improvement of loblolly pine (Pinus taeda) plantation inventory GIS using Shuttle Radar Topography Mission (SRTM) and the National Elevation Dataset (NED), Forest Ecology and Management, 233, 61–68, 2006.

 

Conference Proceedings

Kim, J.W., Lu, Z., and Zhu, Z. Characterizing hydrologic changes of Great Dismal Swamp using SAR/InSAR technology, AGU Fall Meeting 2015, San Francisco, CA, USA, Dec 14-18, 2015.

Kim, J.W., Lu, Z., and Qu, F. Pre-2014 mudslides at Oso revealed by InSAR and multi-source DEM analysis, AGU Fall Meeting 2014, San Francisco, CA, USA, Dec 15-19, 2014.

Lu, Z., Qu, F., Dzurisin, D., Kim, J. Post-2008 inflation of Okmok Volcano, Alaska, from InSAR, AGU Fall Meeting 2014, San Francisco, CA, USA, Dec 15-19, 2014.

Qu, F., Lu, Z., Bawden, G.W., and Kim, J.W. Ground deformation mapping of Houston-Galveston, Texas using InSAR time-series analysis, AGU Fall Meeting 2014, San Francisco, CA, USA, Dec 15-19, 2014.

Shum, C.K., Ballu, V., Calmant, S., Duan, J., Guo, J., Hossain, F., Jenkins, C., Haque Khan, Z., Kim, J., Kuhn, M., Kusche, J., Papa, F., Tseng, K., and Wan, J. Coastal vulnerability due to sea-level rise hazard in the Bangladesh Delta, Vienna, Austria, Apr 2- May 2, 2014.

Lee, H., Kim, J.-W., Lu, Z., Jung, H.C., Shum, C.K., and Alsdorf, D. Integrated analysis of interferometric SAR, satellite altimetry and hydraulic modeling to quantify Louisiana wetland, Intecol 2012 conference: Wetland remote sensing, Orlando, FL, USA, Jun 3-8, 2012.

Jung, H.C., Jasinski, M., Kim, J.-W., Shum, C.-K., Bates, P., Neal, J., Lee, H., and Alsdorf, D. Improved calibration of modeled discharge and storage change in the Atchafalaya floodplain using SAR interferometry, AGU Chapman conference on remote sensing of the terrestrial water cycle, Kona, HI, USA, Feb 19-22, 2012.

Kim, J.W., Calmant, S., Lee, H., Lu, Z., and Shum, C.K., Seasonal Inundation Monitoring of Northern Pantanal Wetland, Brazil Using ALOS SAR/InSAR and Envisat Altimetry, AGU 2011 Fall Meeting 23A, San Francisco, CA, USA, Dec 5-9, 2011.

Lee, H., Calmant, S., Shum, C., Kim, J., Huang, Z., Bettadpur, S.V., and Alsdorf, D.E. Application of satellite radar altimetry for near-real time monitoring of floods, AGU Fall Meeting 2011, San Francisco, CA, USA, Dec 5-9, 2011.

Kim, J.W., Won, J., Shum, C.K., Lee, H., Calmant, S., Souza, A.E., and Jung, H., River velocity estimation from EnviSat ASAR observations, Eos Trans. AGU 91(26), Jt. Assem. Suppl., Abstract U24A-04, Foz do Igaucu, Brazil, Aug 8-12, 2010.

Jung, H.C., Alsdorf, D., Lee, H., Wilson, M., Beighley, E., Durand, M., Shum, C.K., Kim, J.-W., and Andreadis, K. Hydrodynamic modeling of the Congo wetlands using LISFLOOD and satellite based measurements, EGU General Assembly 2010, Vienna, Austria, May 2-7, 2010.

Shum, C.K., Kim, J.-W., Lee, H., Fok, H.-S., Lu, Z., Baek, S.-H., Braun, A., Iz, H.B. Antarctic ice-shelf ocean tide modeling, 3^rd ALOS PI symposium, Kona, HI, USA, Nov 9-13, 2009.

Kim, J.W., Shum, C.K., Lee, H., Baek, S.-H., Hossain, F., Jones, J.W., and Lu, Z., Integrated analysis of interferometric SAR and radar altimeter for quantifying absolute water level changes and wetland dynamics, 3^rd ALOS PI symposium, Kona, HI, USA, Nov 9-13, 2009.

Scientific Achievements Reported in News Media

• "Radar images show large swath of West Texas oil patch is heaving and sinking at alarming rates" was reported in many news media including: 
  • CBS TV News: Wide Sections Of Texas Are Sinking And Growing - A team from ÌìÃÀ´«Ã½ made the discovery using satellite radar: 
  • WFAA ABC TV: Verify: Is West Texas sinking?: 
  • CW33 TV News: ÌìÃÀ´«Ã½ reports sinkholes developing at alarming rates: 
  • KABB Fox TV 29: Study shows a large part of West Texas is sinking at an alarming rate: 
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• "Geohazard: Giant sinkholes near West Texas oil patch towns are growing — as new ones lurk” was reported in many news media including:  
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