A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images

[1]  Wen Liu,et al.  Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data , 2019, Remote. Sens..

[2]  Kazuo Konagai,et al.  Landslides triggered by the West Japan Heavy Rain of July 2018, and geological and geomorphological features of soaked mountain slopes , 2018, Landslides.

[3]  Fawu Wang,et al.  Characteristics of landslides triggered by the 2018 Hokkaido Eastern Iburi earthquake, Northern Japan , 2019, Landslides.

[4]  Yu-Kun Lai,et al.  Efficient Circular Thresholding , 2014, IEEE Transactions on Image Processing.

[5]  A. Walther,et al.  InSAR processing for the recognition of landslides , 2008 .

[6]  Takeshi Motohka,et al.  Results of ALOS-2 PALSAR-2 Calibration and Validation After 3 Years of Operation , 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

[7]  F. Guzzetti,et al.  Landslide inventory maps: New tools for an old problem , 2012 .

[8]  Wen Liu,et al.  Earthquake-Induced Landslide Mapping for the 2018 Hokkaido Eastern Iburi Earthquake Using PALSAR-2 Data , 2019, Remote. Sens..

[9]  Pascal G. Lacroix,et al.  Landslides triggered by the Gorkha earthquake in the Langtang valley, volumes and initiation processes , 2016, Earth, Planets and Space.

[10]  Izuru Takayabu,et al.  Meteorological overview and mesoscale characteristics of the Heavy Rain Event of July 2018 in Japan , 2018, Landslides.

[11]  Ainong Li,et al.  Postearthquake Landslides Mapping From Landsat-8 Data for the 2015 Nepal Earthquake Using a Pixel-Based Change Detection Method , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[12]  Gianfranco Fornaro,et al.  Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas , 2009 .

[13]  Niko E. C. Verhoest,et al.  Influence of Surface Roughness Sample Size for C-Band SAR Backscatter Applications on Agricultural Soils , 2017, IEEE Geoscience and Remote Sensing Letters.

[14]  Jean-Michel Morel,et al.  The staircasing effect in neighborhood filters and its solution , 2006, IEEE Transactions on Image Processing.

[15]  D. Kirschbaum,et al.  Spatial and temporal analysis of a global landslide catalog , 2015 .

[16]  Yasuhiro Murakami,et al.  Characteristics of landslides caused by the 2018 Hokkaido Eastern Iburi Earthquake , 2019, Landslides.

[17]  Kaiheng Hu,et al.  Characteristics of damage to buildings by debris flows on 7 August 2010 in Zhouqu, Western China , 2012 .

[18]  D. Petley,et al.  Global fatal landslide occurrence from 2004 to 2016 , 2018, Natural Hazards and Earth System Sciences.

[19]  Biswajeet Pradhan,et al.  Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree , 2016, Landslides.

[20]  Rubini Mahalingam,et al.  Evaluation of the influence of source and spatial resolution of DEMs on derivative products used in landslide mapping , 2016 .

[21]  Yi Wang,et al.  Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China. , 2019, The Science of the total environment.

[22]  Kyoji Sassa,et al.  Downslope volume enlargement of a debris slide–debris flow in the 1999 Hiroshima, Japan, rainstorm , 2003 .

[23]  Bin Li,et al.  Application of InSAR Techniques to an Analysis of the Guanling Landslide , 2017, Remote. Sens..

[24]  A. Roth,et al.  The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar , 2003 .

[25]  Jiann-Yeou Rau,et al.  Semiautomatic Object-Oriented Landslide Recognition Scheme From Multisensor Optical Imagery and DEM , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Hiroyuki Miura,et al.  Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster , 2019, Remote. Sens..

[27]  Marten Geertsema,et al.  A large rockslide-debris avalanche in cohesive soil at Pink Mountain, northeastern British Columbia, Canada , 2006 .

[28]  Kang-Tsung Chang,et al.  Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data , 2013 .

[29]  Manuele Pichierri,et al.  A New InSAR Phase Demodulation Technique Developed for a Typical Example of a Complex, Multi-Lobed Landslide Displacement Field, Fels Glacier Slide, Alaska , 2018, Remote. Sens..

[30]  Ying-Hsin Wu,et al.  Preliminary investigation of the 20 August 2014 debris flows triggered by a severe rainstorm in Hiroshima City, Japan , 2015, Geoenvironmental Disasters.

[31]  Fumio Yamazaki,et al.  Extraction of Inundation Areas Due to the July 2018 Western Japan Torrential Rain Event Using Multi-Temporal ALOS-2 Images , 2019, Journal of Disaster Research.

[32]  Yudong Zhang,et al.  Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach , 2011, Entropy.

[33]  Keiichi Abe,et al.  Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..

[34]  Yngvar Larsen,et al.  Detailed rockslide mapping in northern Norway with small baseline and persistent scatterer interferometric SAR time series methods. , 2010 .

[35]  Shuying Li,et al.  Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks , 2019, IEEE Geoscience and Remote Sensing Letters.

[36]  Urs Wegmüller,et al.  Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru , 2018, Remote Sensing of Environment.

[37]  Feng Zhao,et al.  Landslide Monitoring Using Multi-Temporal SAR Interferometry with Advanced Persistent Scatterers Identification Methods and Super High-Spatial Resolution TerraSAR-X Images , 2018, Remote. Sens..

[38]  Fausto Guzzetti,et al.  Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images , 2011 .

[39]  Wenzhong Shi,et al.  Landslide Inventory Mapping From Bitemporal High-Resolution Remote Sensing Images Using Change Detection and Multiscale Segmentation , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[40]  Hiromitsu Yamagishi,et al.  Landslides by the 2018 Hokkaido Iburi-Tobu Earthquake on September 6 , 2018, Landslides.

[41]  Brendon A. Bradley,et al.  Landslides Triggered by the 14 November 2016 Mw 7.8 Kaikōura Earthquake, New Zealand , 2018 .

[42]  Ilya Blayvas,et al.  Efficient computation of adaptive threshold surfaces for image binarization , 2006, Pattern Recognit..

[43]  Alessandro C. Mondini,et al.  Measures of Spatial Autocorrelation Changes in Multitemporal SAR Images for Event Landslides Detection , 2017, Remote. Sens..

[44]  T. Davies,et al.  Assessment of rainfall-generated shallow landslide/debris-flow susceptibility and runout using a GIS-based approach: application to western Southern Alps of New Zealand , 2015, Landslides.

[45]  Huijie Xiao,et al.  The 2010 Zhouqu mudflow disaster: possible causes, human contributions, and lessons learned , 2013, Natural Hazards.

[46]  Arnaud Mialon,et al.  Global-scale surface roughness effects at L-band as estimated from SMOS observations. , 2016 .

[47]  Ming Wang,et al.  Using MODIS NDVI Time Series to Identify Geographic Patterns of Landslides in Vegetated Regions , 2013, IEEE Geoscience and Remote Sensing Letters.

[48]  Timo Balz,et al.  Landslide deformation monitoring using point-like target offset tracking with multi-mode high-resolution TerraSAR-X data , 2015 .

[49]  André Stumpf,et al.  Hierarchical extraction of landslides from multiresolution remotely sensed optical images , 2014 .

[50]  Thomas Blaschke,et al.  Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection , 2019, Remote. Sens..

[51]  Olivier Dewitte,et al.  Multi-Temporal DInSAR to Characterise Landslide Ground Deformations in a Tropical Urban Environment: Focus on Bukavu (DR Congo) , 2018, Remote. Sens..

[52]  Clemens Eisank,et al.  An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan , 2015, Earth Science Informatics.

[53]  David Small,et al.  Flattening Gamma: Radiometric Terrain Correction for SAR Imagery , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[54]  William A. Pearlman,et al.  Speckle filtering of SAR images based on adaptive windowing , 1999 .