Abstract
The Wenchuan earthquake-induced geological hazards, such as rock falls, landslides, and debris flows, caused as much damage as the earthquake itself. In the complicated environment of the disaster area, seldom can a single remotely sensed imagery and a single classification method meet the needs of the interpretation task. In this paper, taking the Beichuan area as an example, the hierarchical stripping classification (HSC) framework, supported by human–computer interactive interpretation, was applied to tackle the problems caused by the earthquake, as well as the local complicated landform and weather environments. Different classification tools were used to detect specific objects under the HSC framework. Multi-source and multi-temporal data from satellite remote sensors (mainly CBERS-02B charge-coupled device and HR images), unmanned aerial vehicles (UAV), digital elevation model, and other auxiliary sources were utilized to detect the distribution of geological hazards. The classification results were compared with that of an overall supervised classification. The results show that the HSC framework and the related methods are effective and work well in the study area.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Biging GS, Chrisman NR, Colby DR, Congalton RG, Dobson JE, Ferguson RL, Goodchild MF, Jensen JR, Mace TH (1999) Accuracy assessment of remote sensing-detected change detection. In: Khorram S (ed) Monograph series of the American Society for Photogrammetry and Remote Sensing. American Society for Photogrammetry and Remote Sensing (ASPRS), Bethesda
Cheng K, Wei C, Chang S (2004) Locating landslides using multi-temporal satellite images. Adv Space Res 33:296–301
Congalton RG, Green K (1999) Assessing the accuracy of remotely sensed data: principles and practices. CRC/Lewis Press, Boca Raton
Foody GM, Mathur A (2004) A relative evaluation of multi-class image classification by support vector machines. IEEE Trans Geosci Remote Sens 42(6):1336–1343
Gong J, Sui H, Sun KM, GuoRui MA, Liu J (2008) Object-level change detection based on full-scale image segmentation and its application to Wenchuan earthquake. Sci China Ser E Technol Sci 51:110–122
Guo H (2008) Atlas of remote sensing for Wenchuan earthquake disaster. Science Press, Beijing
Hervás J, Barredo JI, Rosin PL, Pasuto A, Mantovani F, Silvano S (2003) Monitoring landslides from optical remotely sensed imagery: the case history of Tessina landslide, Italy. Geomorphology 54:63–75
Huang RQ, Li WL (2009) Analysis of the geo-hazards triggered by the 12 May 2008 Wenchuan earthquake, China. Bull Eng Geol Environ 68:363–371
Kerr JT, Ostrovsky M (2003) From space to species: ecological applications for remote sensing. Trends Ecol Evol 18:299–305
Lin P-S, Lin J-Y, Hung J-C, Yang M-D (2002) Assessing debris flow hazard in a watershed in Taiwan. Eng Geol 66:295–313
Lin W-T, Lin C-Y, Chou W-C (2006) Assessment of vegetation recovery and soil erosion at landslides caused by a catastrophic earthquake: a case study in Central Taiwan. Ecol Eng 28:79–89
Lu A-X, Wang L-H, Jia Z-Y, Yu L-Q, Ran D-F (2007) Investigation and evaluation of geological hazards using remote sensing in the Tibetan part of national highway 214. Geoscience and Remote Sensing Symposium, 2007 IEEE International; Barcelona, Spain
Lu D, Mausel P, Brondízio E, Moran E (2004) Change detection techniques. Int J Remote Sens 25(12):2365–2401
Metternicht G, Hurni L, Gogu R (2005) Remote sensing of landslides: an analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments. Remote Sens Environ 98:284–303
Su F, Liu H, Han Y (2008) The extraction of mountain hazard induced by Wenchuan earthquake and analysis of its distributing characteristic. J Remote Sens 12(6):956–963 in Chinese
Ville DLN, Diaz AC, Ramirez D (2002) Remote sensing and GIS technologies as tools to support sustainable management of areas devastated by landslides. Environ Dev Sustain 4:221–229
Wang Z (2004) RS+GCPs select basic information of landslide. Chin J Geol Hazard Control 5(1):94–101 in Chinese
Wang S, Zhou Y, Wei C, Shao Y, Yan F (2008) Risk evaluation on the secondary geo-hazards of Dammed lakes using remote sensing datasets, in the Wenchuan earthquake. J Remote Sens 12(6):900–907 in Chinese
Wei C, Liu Y, Wang S, Zhang L, Huang X (2008) Investigation and assessment of damage in Earthquake Wenchuan Sichuan quake based on remote sensing. J Remote Sens 12(5):673–682 in Chinese
Wieczorek GF (1984) Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bull Assoc Eng Geol 21(3):337–342
Wu TF, Lin CJ, Weng RC (2004) Probability estimates for multi-class classification by pairwise coupling. J Mach Learn Res 5:975–1005
Xu Q, Fan XM, Huang RQ, Van Westen C (2009) Landslide dams triggered by the Wenchuan earthquake, Sichuan Province, south west China. Bull Eng Geol Environ 68:373–386
Zhou CH, Lee CF, Li J, Xu ZW (2002) On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. Geomorphology 43:197–207
Acknowledgments
This research is partially supported by the Key Knowledge Innovative Sub-Project of the Chinese Academy of Sciences (Kzcx2-yw-126-01); the National Basic Research Program of China, 973 Program, No. 2007CB714402; and the National Key Science and Technology Projects of China (2009ZX10004-720).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Gong, J., Wang, D., Li, Y. et al. Earthquake-induced geological hazards detection under hierarchical stripping classification framework in the Beichuan area. Landslides 7, 181–189 (2010). https://doi.org/10.1007/s10346-010-0201-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10346-010-0201-4