Spatial Forecast of Landslides in Three Gorges Based On Spatial Data Mining

The Three Gorges is a region with a very high landslide distribution density and a concentrated population. In Three Gorges there are often landslide disasters, and the potential risk of landslides is tremendous. In this paper, focusing on Three Gorges, which has a complicated landform, spatial forecasting of landslides is studied by establishing 20 forecast factors (spectra, texture, vegetation coverage, water level of reservoir, slope structure, engineering rock group, elevation, slope, aspect, etc). China-Brazil Earth Resources Satellite (Cbers) images were adopted based on C4.5 decision tree to mine spatial forecast landslide criteria in Guojiaba Town (Zhigui County) in Three Gorges and based on this knowledge, perform intelligent spatial landslide forecasts for Guojiaba Town. All landslides lie in the dangerous and unstable regions, so the forecast result is good. The method proposed in the paper is compared with seven other methods: IsoData, K-Means, Mahalanobis Distance, Maximum Likelihood, Minimum Distance, Parallelepiped and Information Content Model. The experimental results show that the method proposed in this paper has a high forecast precision, noticeably higher than that of the other seven methods.

[1]  Fred A. Kruse,et al.  The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data , 1993 .

[2]  Dong-Po Deng,et al.  Integrating Remote Sensing Data with Directional Two-Dimensional Wavelet Analysis and Open Geospatial Techniques for Efficient Disaster Monitoring and Management , 2008, Sensors.

[3]  T. Zhong.  MECHANISM AND DYNAMIC SIMULATION OF LANDSLIDE BY PRECIPITATION , 2002 .

[4]  She Xiang-yang,et al.  The Remote Sensing Image Classification Research Based on Mining Classification Rules on the Spatial Database , 2006 .

[5]  Wang Wei-hong,et al.  LANDSLIDE OCCURRING PROBABILITY DECISION BASED ON REMOTE SENSING AND QUANTIFICATION THEORY II , 2005 .

[6]  A. Shakoor,et al.  Application of logistic regression model for slope instability prediction in Cuyahoga River Watershed, Ohio, USA , 2008 .

[7]  S. Vasantha kumar,et al.  Effect of deforestation on landslides in Nilgiris district — A case study , 2008 .

[8]  L. Borgatti,et al.  Appraise the structural mitigation of landslide risk via numerical modelling: a case study from the northern Apennines (Italy) , 2008 .

[9]  Shan Xin-jian.  PREDICTION OF REGIONAL LANDSLIDE DANGER AREAS USING AI-GIS BASED ON ENVIRONMENT FACTORS:AN EXAMPLE OF LANTAU ISLAND,HONGKONG , 2004 .

[10]  Ashish Pandey,et al.  Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin, Arunachal Pradesh, India , 2008 .

[11]  Ynag Shu-feng.  Prediction of landslide hazard based on support vector machine theory. , 2003 .

[12]  P. Reichenbach,et al.  GIS techniques and statistical models in evaluating landslide hazard , 1991 .

[13]  A. Bhattacharya,et al.  Analysis of the 2003 Varunawat Landslide, Uttarkashi, India using Earth Observation data , 2008 .

[14]  M. Abdelsalam,et al.  Remote sensing analysis of the Gorge of the Nile, Ethiopia with emphasis on Dejen-Gohatsion region , 2006 .

[15]  Hua Li.  Remote sensing identification of earthquake trigged landsides and their impacts on ecosystem services:a case study of Wenchuan County , 2008 .

[16]  Zhu Liang-feng,et al.  Risk zonation of landslide in China based on information content model , 2004 .

[17]  Andy Fourie,et al.  PREDICTING RAINFALL-INDUCED SLOPE INSTABILITY , 1996 .

[18]  Peter Lumb,et al.  Slope failures in Hong Kong , 1975, Quarterly Journal of Engineering Geology.

[19]  Lawrence C. Rowan,et al.  Hyperspectral analysis of the ultramafic complex and adjacent lithologies at Mordor, NT, Australia , 2004 .

[20]  MA Zhi-jiang.  Landslide risk assessment based on decision tree arithmetic. , 2004 .

[21]  N. W. Park,et al.  Quantitative assessment of landslide susceptibility using high‐resolution remote sensing data and a generalized additive model , 2008 .

[22]  Xie Jian-ming.  Warning System for Rain-Induced Landslides Based on Internet in Zhejiang Province, China , 2005 .

[23]  Malcolm G. Anderson,et al.  USING A COMBINED SLOPE HYDROLOGY/STABILITY MODEL TO IDENTIFY SUITABLE CONDITIONS FOR LANDSLIDE PREVENTION BY VEGETATION IN THE HUMID TROPICS , 1996 .

[24]  Yang Ke-ming.  Zoning effect in spatial data mining and its application in coal mine , 2007 .

[25]  Christophe Delacourt,et al.  Observation of a Large Landslide on La Reunion Island Using Differential Sar Interferometry (JERS and Radarsat) and Correlation of Optical (Spot5 and Aerial) Images , 2009, Sensors.