The Etajima fire of 1978 in Japan was used to assess the accuracy of a method of classification, mapping and area estimation of the devastation caused by forest fire using Landsat MSS data. The classification and mapping method developed was limited to field sizes of about 10km x 10km, and the registration of Landsat data for mapping was performed by affine' transformation using corresponding ground control points both on the Landsat imagery and the' topographical map.'
The 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 preand 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.
ARTICLE HISTORY
In this paper we investigated systems for supporting remote collaboration using mobile robots as communication media. It is argued that the use of a remote-controlled robot as a device to support communication involves two distinct ecologies: an ecology at the remote (instructor's) site and an ecology at the operator's (robot) site. In designing a robot as a viable communication medium, it is essential to consider how these ecologies can be mediated and supported. In this paper, we propose design guidelines to overcome the problems inherent in dual ecologies, and describe the development of a robot named GestureMan-3 based on these guidelines. Our experiments with GestureMan-3 showed that the system supports sequential aspects of the organization of communication.
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