應用統計分群及多期地表位移資料進行坡面分區活動性潛勢分析

多期時序合成干涉孔徑雷達技術（MTInSAR）是透過解析多期雷達干涉圖像，以提供高精度、覆蓋率佳的動態地表變形資訊的遙測技術，可有效應用於台灣大規模崩塌潛勢區廣域監測與活動性評估。本研究進一步將高斯混合模式應用於MTInSAR地表位移資料進行統計分群，並藉由多期位移監測中定義關聯分群，串連多期位移分群組成位移時序，使可與降雨時序或其他影響崩塌活動的因子進行比對。在兩組範例深層崩塌區的應用中可見：這些分群資料與崩塌區中之分區坡面活動性相關，而這結果顯示此分析方法可推廣至更廣泛的深層山崩應用。

關鍵字

多期合成干涉孔徑雷達；高斯混合模式；關聯分群；多期位移分群時序；多期累積位移分群時序

並列摘要

Multitemporal interferometric synthetic radar (MTInSAR) is a remote sensing technique that can provide sequences of high-accuracy and wide-coverage interferograms, which can be used for analyzing transient surface deformations. MTInSAR has been used in hazard mitigation planning for potential deep-seated landslides and in long-term monitoring of slope activities in Taiwan. This study proposes to use a Gaussian mixture model for statistically clustering the surface deformation data points for further analyzing into the subzone activities of deep-seated landslides. Based on the model, associated clusters are defined to connect multitemporal deformation clusters; thus, time series of the deformation clusters can be derived. These time series deformation clusters enable investigating their relationships with other landslide activity influencing factors, such as precipitation. To demonstrate the proposed model, this study used two potential deep-seated landslide sites as examples. The results revealed that the deformation clusters and time series of the deformation clusters were indeed correlated with the subzone activities at the landslide sites. These encouraging results indicate that the proposed method can be extensively applied in the analysis of deep-seated landslides.

並列關鍵字

Multitemporal InSAR (MTInSAR) ； Gaussian mixture model ； Associated cluster ； Time series of deformation clusters ； Time series of accumulated deformation clusters

主題瀏覽