Resumen:
Slow-moving landslides exhibit continuous, human-imperceptible downslope motion
risking human settlements. Localizing the landslide's spatial extension and response
under rainfall variation is vital for predicting the hazard for an area. Synthetic aperture
radar interferometry (InSAR) time series is a useful geodetic technique to analyze
temporal-spatial landslide behavior. Landslide displacement derived from InSAR
represents seasonal, fast and slow motion fluctuation triggered by rainfall stationalities.
Here, InSAR was used to identify landslides in the southern part of the Neogen Inter
Andean Depression of Ecuador and correlate landslides' seasonal displacement with
rainfall using wavelet analysis. Twenty landslides were identified from 2007 to 2011 and
2016 to 2022. Three landslides exhibit InSAR average velocity ranging from 7
millimeters per year to 26.5 millimeters per year. The wavelet analysis shows
landslides correlate with rainfall in infra-annual, annual, and multiannual periods/scales.
The results suggest that fast landslide displacement responses are related to high
rainfall events, while annual and multiannual responses might relate to soil mechanic
properties or groundwater processes.
