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Remote Sensing Technology and Application  2018, Vol. 33 Issue (1): 185-192    DOI: 10.11873/j.issn.1004-0323.2018.1.0185
Research on Wenchuan Earthquake-induced LandslidesRapid Recognition from ZY-3 Imagery
Peng Ling,Xu Suning,Mei Junjun,Li Wenjuan
(China Institute of Geo-Environment Monitoring,Beijing 100081,China)
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Abstract  Presently,regional earthquake-induced landslides is mainly obtained by field survey and visual interpretation from remote sensing images; but these methods are objective,and time-consuming.In this study,with a main data source of domestic high-resolution remote sensing images from ZY-3 satellite as well as the study area of the Wenchuan earthquake region,objects of multilevel landslides were established using the multi-scale optimum partition method based on in-depth analysis of landslide features.A recognition rule set of multi-dimensional landslides was also built through the combination of topographic features and image features,such as spectrum,texture,and geometry.Additionally,recognition models for landslide stratification were proposed based on the recognition models of high-resolution images and an understanding of the scenes.Through all of the aforementioned efforts,the spatial distribution of the seismic landslide as well as the sliding source area,transport area,and depositional area can be identified intelligently.The analysis results of the experimental area showed a minimum recognition accuracy of 82.97%,with the depositional zone of landslides being the easiest zone to recognize,and the effectiveness of the proposed method as well as ZY-3 data.These findings may provide technical support for regional earthquake-induced landslides investigations and further promote geological hazard application of domestic high-resolution satellites.

Key words:  Landslides      Rapid recognition      ZY-3 satellite      Wenchuan earthquake     
Published:  16 March 2018
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Peng Ling
Xu Suning
Mei Junjun
Li Wenjuan

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Peng Ling,Xu Suning,Mei Junjun,Li Wenjuan. Research on Wenchuan Earthquake-induced LandslidesRapid Recognition from ZY-3 Imagery. Remote Sensing Technology and Application, 2018, 33(1): 185-192.

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