Japan Geoscience Union Meeting 2014

Presentation information

Oral

Symbol S (Solid Earth Sciences) » S-TT Technology & Techniques

[S-TT59_29AM1] Synthetic Aperture Radar

Tue. Apr 29, 2014 9:00 AM - 10:45 AM 414 (4F)

Convener:*Tsutomu Yamanokuchi(Remote Sensing Technology Center of JAPAN), Tomokazu Kobayashi(Geospatial Information Authority of Japan), Yosuke Miyagi(National Research Institute for Earth Science and Disaster Prevention), Chair:Tsutomu Yamanokuchi(Remote Sensing Technology Center of JAPAN), Manabu Watanabe(Japan Aerospace Exploration Agency)

9:15 AM - 9:30 AM

[STT59-02] Pi-SAR-L2 observation of the landslide caused by Typhoon Wipha on Izu Oshima island

*Manabu WATANABE1, Risako DAN2, Takeshi MOTOHKA1, Masato OHKI1, Masanobu SHIMADA1 (1.Japan Aerospace Exploration Agency, 2.RESTEC)

Keywords:Full polarimetry, SAR, disaster

On October 16, 2013, Typhoon Wipha struck Izu Oshima island, and a large-scale landslide was induced by the heavy rain. Six days after the disaster, Pi-SAR-L2 observation was carried out in four different observation directions (L203201?L203204). One Pi-SAR-L observation (L03801) was carried out before the disaster on August 30, 2000 in same observation direction of L203201. The observation data were used to determine which parameters and directions are preferable to detect landslide areas. Several full polarimetric parameters, including Sigma_0, polarimetric coherence, four-component parameters, and eigenvalue decomposition parameters were obtained using PolSARPro and a self-produced programs. As pointed out by Shimada et al. [1], the change of the land cover from a forest before the disaster to bare soil after the disaster was well detected by the coherence between HH and VV. In addition to this parameter, the eigenvalues and four-component decomposition parameters have the potential to detect landslide areas. The data from observations of the bottom to the top of the landslide detect the landslide well, whereas the observation of the opposite side are not as useful. Soil from the landslide intruded into the town areas, but none of the full polarimetric parameters show any significant difference between the landslide-affected town areas and the unaffected areas.[1] Masanobu Shimada, Manabu Watanabe, Noriyuki Kawano, Masato Ohki, Takeshi Motooka, and Yutaka Wada, Detecting Mountainous Landslides by SAR polarimetry: A Comparative Study Using Pi-SAR-L2 and X band SARs, Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan, 2014, 12, No.ists29, pp. Pn9-Pn15.