Abstract
ABSTRACTThe heavy rain induced by Typhoon Talas in 2011 caused deep-seated catastrophic landslides on Kii Peninsula in the central part of Japan. Remote-sensing techniques play a key role in natural disasters in terms of quick response and mitigation. We propose a quick response method for landslide mapping using high-resolution satellite images. For synthetic aperture radar analysis, pre- and post-disaster COSMO-SkyMed images were used to detect the landslide areas on Kii Peninsula. We investigated the potential for landslide detection using backscattering coefficient difference and intensity correlation. The difference in the backscattering coefficient or the intensity correlation reflects the land-cover change between pre- and post-disaster images. We also investigated the effects of speckle noise reduction filtering and window size. The detected landslide areas were compared with the area detected by EROS-B, which has a very high-resolution optical sensor. The optimal value of the F-measure (61.24%) was obtained within a 37 × 37 window size using the intensity correlation, with a 5 × 5 window size Frost filter. The precision and recall were 65.39% and 57.58%, respectively. The results confirm that rapid detection of a landslide at the initial stage could be effectively achieved using pre- and post-disaster COSMO-SkyMed images.
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