日本リモートセンシング学会誌
Online ISSN : 1883-1184
Print ISSN : 0289-7911
ISSN-L : 0289-7911
小論文
L-band SAR (PALSAR-2)を用いた,“広域データ”からの土砂災害域検出
渡邉 学米澤 千夏園田 潤島田 政信
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ジャーナル フリー

2017 年 37 巻 1 号 p. 21-26

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Data from the Phased Array type L-band Synthetic Aperture Radar 2 (PALSAR-2), an L-band SAR on board the Advanced Land Observing Satellite-2 (ALOS-2), were used to detect landslides caused by the 2016 Kumamoto earthquakes. Differences in α angle and HH-VV coherence obtained before and after the disaster were used. Some landslides occurred in a forested area before the disasters were detected by these parameters. Misidentifications were prominently observed. A forest mask was applied to the image taken before the disaster, and it was confirmed that the forest mask worked well to reduce misidentification of landslide areas. Detection rates are estimated to be 63%. The main reasons for failures of detection were radar shadow, and landslide areas consisting of either a vacant piece of land or land with low vegetation before the disaster.

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© 2017 社団法人 日本リモートセンシング学会
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