TY - JOUR
T1 - ALOS/PALSAR full polarimetric observations of the Iwate-Miyagi Nairiku earthquake of 2008
AU - Watanabe, Manabu
AU - Yonezawa, Chinatsu
AU - Iisaka, Joji
AU - Sato, Motoyuki
N1 - Funding Information:
This research study is a part of the research carried out by the SAR image-analysis working group and is related to the first ALOS research announcement by JAXA. We thank the ESA/POLSARPro project team for providing us with the analysis software free of charge. This study was supported by a JSPS Grant-in-Aid for Scientific Research (S) 18106008, (C) 21510004 and the Tohoku construction association. The photograph of a pasture area was taken by the Remote Sensing Laboratory, Graduate School of Agricultural Science, Tohoku University.
PY - 2012/2
Y1 - 2012/2
N2 - We analysed Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data on the areas damaged by the Iwate-Miyagi Nairiku earthquake that struck Japan in 2008. The observations before and after the earthquake have been carried out in the full polarimetric mode. We observed the dominance of surface scattering of the three-component scattering model in the landslide areas and identified 11 of the 13 landslide areas. However, we also detected vacant pieces of land, pastures and other land bodies. The possible landslide areas are estimated for 102 patch areas, of which 36 correspond to the actual landslide areas. This method is useful to detect the landslide area when the land classification map or optical image taken before a disaster is available. We propose the use of σ0 VH information to distinguish the landslide areas from the other areas. Since σ0 VH is sensitive to the surface roughness of an area, vacant pieces of land and pastures, which have a relatively low surface roughness, can be distinguished from the landslide areas, which have a high surface roughness. By combining the surface scattering and the σ0 VH filter, the number of possible landslide areas is reduced from 102 to 54, which include the actual landslide areas except for some small patch areas.
AB - We analysed Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data on the areas damaged by the Iwate-Miyagi Nairiku earthquake that struck Japan in 2008. The observations before and after the earthquake have been carried out in the full polarimetric mode. We observed the dominance of surface scattering of the three-component scattering model in the landslide areas and identified 11 of the 13 landslide areas. However, we also detected vacant pieces of land, pastures and other land bodies. The possible landslide areas are estimated for 102 patch areas, of which 36 correspond to the actual landslide areas. This method is useful to detect the landslide area when the land classification map or optical image taken before a disaster is available. We propose the use of σ0 VH information to distinguish the landslide areas from the other areas. Since σ0 VH is sensitive to the surface roughness of an area, vacant pieces of land and pastures, which have a relatively low surface roughness, can be distinguished from the landslide areas, which have a high surface roughness. By combining the surface scattering and the σ0 VH filter, the number of possible landslide areas is reduced from 102 to 54, which include the actual landslide areas except for some small patch areas.
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U2 - 10.1080/01431161.2011.554453
DO - 10.1080/01431161.2011.554453
M3 - Article
AN - SCOPUS:84857985841
SN - 0143-1161
VL - 33
SP - 1234
EP - 1245
JO - International Joural of Remote Sensing
JF - International Joural of Remote Sensing
IS - 4
ER -