Recent Landslide Movement in Tsaoling, Taiwan Tracked by TerraSAR-X/TanDEM-X DEM Time Series

The Tsaoling Landslide in Taiwan has captured attentions of researchers worldwide due to its frequent catastrophic failure and distinctive features. Thanks to the launch of TerraSAR-X/TanDEM-X (TSX/TDX) constellation, retrieval of global DEM with high spatial resolution and accuracy becomes possible, which is extremely useful for the study of natural hazards (e.g., landslides) globally. We attempt here for the first time to track recent landslide movements in Tsaoling Taiwan by analyzing DEM time series reconstructed from TSX/TDX image pairs. Quality improvement of InSAR derived DEM through an iterated differential operation is addressed during the data processing. Five cliffs and the Chingshui River are selected to determine the spatial pattern of morphologic changes of the landslide. The results show that: (a) A large amount of collapses occurred on dip slopes in the period from 2011 to 2014 and on surrounding debris deposits during the rainy seasons; (b) The average recession rate of the Chunqui Cliff decreased from 24.4 m/yr to 19.6 m/yr compared with the result between 1999 and 2009; (c) The Tsaoling Landslide has lost 6.90 ×106 m³ of soil from November of 2011 to April of 2014, which shows a positive correlation of 0.853 with rainfall; (d) The Chingshui River is undergoing a gradual bed erosion with a volumes of 1.84 ×106 m³.

[1]  Rou-Fei Chen,et al.  Large earthquake-triggered landslides and mountain belt erosion: The Tsaoling case, Taiwan , 2005 .

[2]  Gerhard Krieger,et al.  Relative height error analysis of TanDEM-X elevation data , 2012 .

[3]  Achim Roth,et al.  Operational TanDEM-X DEM calibration and first validation results , 2012 .

[4]  S. Charbonnier,et al.  Lava flow mapping and volume calculations for the 2012–2013 Tolbachik, Kamchatka, fissure eruption using bistatic TanDEM-X InSAR , 2015, Bulletin of Volcanology.

[5]  Florence Tupin,et al.  NL-InSAR: Nonlocal Interferogram Estimation , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Jun Hu,et al.  Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model , 2017, Remote. Sens..

[7]  Guangcai Feng,et al.  Geodetic model of the 2015 April 25 Mw 7.8 Gorkha Nepal Earthquake and Mw 7.3 aftershock estimated from InSAR and GPS data , 2015 .

[8]  M. Santini,et al.  Pre-processing algorithms and landslide modelling on remotely sensed DEMs , 2009 .

[9]  Michael Eineder,et al.  Framework for Fusion of Ascending and Descending Pass TanDEM-X Raw DEMs , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  Rou-Fei Chen,et al.  Use of Multiple Digital Terrain Models and Aerial Orthophotos for Landscape Evolution in Tsaoling Landslide Area , 2015 .

[11]  Masahiro Chigira,et al.  Geological causes and geomorphological precursors of the Tsaoling landslide triggered by the 1999 Chi-Chi Earthquake, Taiwan , 2003 .

[12]  Fabio Bovenga,et al.  Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives , 2014 .

[13]  Anna Wendleder,et al.  TanDEM-X Water Indication Mask: Generation and First Evaluation Results , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[14]  Yong Wang,et al.  Utilizing DEMs derived from LIDAR data to analyze morphologic change in the North Carolina coastline , 2003 .

[15]  Mario Costantini,et al.  A novel phase unwrapping method based on network programming , 1998, IEEE Trans. Geosci. Remote. Sens..

[16]  Qian Sun,et al.  On the Accuracy of Topographic Residuals Retrieved by MTInSAR , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Rou-Fei Chen,et al.  Topographical changes revealed by high-resolution airborne lidar data; the 1999 Tsaoling landslide induced by the Chi-chi earthquake , 2006 .

[18]  Yin-Sung Hsu,et al.  Impact of earthquake-induced dammed lakes on channel evolution and bed mobility: case study of the Tsaoling landslide dammed lake. , 2009 .

[19]  Gerhard Krieger,et al.  Development of the TanDEM-X Calibration Concept: Analysis of Systematic Errors , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Fabien Albino,et al.  High‐resolution TanDEM‐X DEM: An accurate method to estimate lava flow volumes at Nyamulagira Volcano (D. R. Congo) , 2015 .

[21]  Michael Eineder,et al.  Multi baseline SAR acquisition concepts and phase unwrapping algorithms for the TanDEM-X mission , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[22]  S. Hsu,et al.  Application of remotely sensed data to the assessment of terrain factors affecting the Tsao-Ling landslide , 2004 .

[23]  Qian Sun,et al.  Investigation of Slow-Moving Landslides from ALOS/PALSAR Images with TCPInSAR: A Case Study of Oso, USA , 2014, Remote. Sens..

[24]  Michael Eineder,et al.  Glacier flow and topography measurements with TerraSar-X and TanDEM-X , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[25]  Janusz Wasowski,et al.  Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry , 2006 .

[26]  Gerhard Krieger,et al.  InSAR and DEM quality monitoring of TanDEM-X , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[27]  Jyr-Ching Hu,et al.  The Tsaoling landslide triggered by the Chi-Chi earthquake, Taiwan: Insights from a discrete element simulation , 2009 .

[28]  J. Nichol,et al.  Application of high-resolution satellite images to detailed landslide hazard assessment , 2009, 2009 Joint Urban Remote Sensing Event.

[29]  Ramon F. Hanssen,et al.  Fast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Gerhard Krieger,et al.  Definition of ICESat Selection Criteria for Their Use as Height References for TanDEM-X , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Hannes Taubenböck,et al.  Normalization of TanDEM-X DSM Data in Urban Environments With Morphological Filters , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Rou-Fei Chen,et al.  Simulation of Tsaoling landslide, Taiwan, based on Saint Venant equations over general topography , 2009 .

[33]  Cristian Rossi,et al.  Urban DEM generation, analysis and enhancements using TanDEM-X , 2013 .

[34]  J. Milliman,et al.  Earthquake-triggered increase in sediment delivery from an active mountain belt , 2004 .

[35]  Gulab Singh,et al.  Bistatic PolInSAR for forest height estimation: Results from TanDEM-X , 2015, 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[36]  Minoru Yamanaka,et al.  DEM-based deterministic landslide hazard analysis in the Lesser Himalaya of Nepal , 2008 .

[37]  Jaime Hueso Gonzalez,et al.  TanDEM-X: A satellite formation for high-resolution SAR interferometry , 2007 .

[38]  Hyung-Sup Jung,et al.  Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin , 2012 .

[39]  Qijie Wang,et al.  Landslide Displacement Monitoring by a Fully Polarimetric SAR Offset Tracking Method , 2016, Remote. Sens..

[40]  Tien-Chien Chen,et al.  Pseudostatic analysis of Tsao-Ling rockslide caused by Chi-Chi earthquake , 2004 .

[41]  Guangcai Feng,et al.  Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements , 2016, Remote. Sens..

[42]  J. Nichol,et al.  Application of high-resolution stereo satellite images to detailed landslide hazard assessment , 2006 .

[43]  Roberto Tomás,et al.  Monitoring activity at the Daguangbao mega-landslide (China) using Sentinel-1 TOPS time series interferometry , 2016 .

[44]  Michel JaboyedoffThierry.  Use of LIDAR in landslide investigations: a review , 2012 .

[45]  Michael Eineder,et al.  TanDEM-X calibrated Raw DEM generation , 2012 .