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。

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.