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We investigate the applicability of the entropy (H)/ alpha (&#x03B1;&#x0305;) target decomposition realized by the temporally averaged coherency matrix, called temporal H/(&#x03B1;&#x0305;). We apply the temporal H/&#x03B1;&#x0305; to ground-based synthetic aperture radar (GB-SAR) continuous monitoring data to characterize the scattering mechanism temporal change. As a case study, this work demonstrates the application of the temporal H/&#x03B1;&#x0305; technique to landslide monitoring to detect and investigate the temporal scattering mechanism. The study acquired long-term GB-SAR polarimetric data over the postlandslide slope, Minami-Aso, Kumamoto, Japan. The study first investigated the property of the temporal H/&#x03B1;&#x0305; parameters over selected land cover types by comparing it with that derived by spatial averaging (spatial H/&#x03B1;&#x0305;) to explain the landslide monitoring results. Also, the rainfall effects on the temporal H/&#x03B1;&#x0305; parameters are demonstrated. The temporal H and &#x03B1;&#x0305; values increase up to 0.07<sup>&#x00B0;</sup> and 13.54<sup>&#x00B0;</sup>, respectively, when the rainfall rate is 52.5 mm/h. The time-series analysis of the temporal H/&#x03B1;&#x0305; indicates an obvious temporal transition of the scattering mechanism and a change of the backscattering stationarity when a landslide occurs. The applicability of the temporal H/&#x03B1;&#x0305; for the change-detection is discussed by comparing it with the classical spatial H/&#x03B1;&#x0305; parameters.

Temporal H/alpha Target Decomposition for Landslide Monitoring Using Ku-Band GB-SAR Time Series