| Technology Application |
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The Monitoring of Landslide and Debris Flow Caused by Typhoon
Morakot Based on HJ-1 Images |
| DENG Rui 1,3, HUANG Jing-feng 1,2 |
| (1.Institute of Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310029, China; 2.Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health, College of Natural Resources and Environmental Science, Zhejiang University, Hangzhou 310029, China; 3.Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310029, China) |
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Abstract In this paper, two HJ-1 images before and after typhoon Morakot were used. Decorrelation stretch (DS) and maximum likelihood classification (MLC) were adopted to extract the regions of landslide and debris flow. Furthermore, TRMM precipitation data and digital elevation model (DEM) were combined to analyze landslide and debris flow. The results show that landslide and debris flow can be monitored effectively by HJ-1. Good classification results are obtained: the overall accuracies of two phases are above 90%, and Kappa coefficients are higher than 0.9. The rainstorm brought by typhoon Morakot led to landslide and debris flow, so vegetation and settlements were changed into bare land, which is reflected clearly on the classification map and 3D map.
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| Keywords
Weighted fuzzy C-means clustering
Time series curve
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Issue Date: 22 March 2011
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2011,
Vol. 23
