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運用時域相關點合成孔徑雷達干涉技術於大規模深層崩塌類型評估

Assessment of Deep-Seated Landslides Using TCP-InSAR Interferometry

摘要


運用日本衛星雷達影像(ALOS/PALSAR),配合時域相關點合成孔徑雷達干涉技術(Temporarily Coherent Point SAR Interferometry, TCP-InSAR),產製台灣山區大規模深層崩塌區位之地表年平均變形量,配合高精度空載光達影像(Light Detection and Ranging, LiDAR)判釋之崩塌地形特徵,藉以評估大規模深層崩塌之地表變形行為與崩塌類型。利用TCP-InSAR技術在台灣山區可獲取大面積地表變形資訊,可應用於後續細部地工觀測規劃及簡易觀測配置之依據。

並列摘要


ALOS/PALSAR images and TCP-InSAR interferometry are adopted in this study to produce the average annual deformation of deep-seated landslides. The landslide terrain features are then interpreted by high-precision LiDAR mappings to assess the deformation of deep-seat landslides in Taiwan and possibly existing landslide types. A large amount of surface deformation information can be obtained through the average surface deformation produced by TCP-InSAR interferometry and then applied to conduct detailed geotechnical monitoring plan and simple observation configuration.

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