The two SAR
datasets used in this study are: (1) the X-band satellite-based
radar data from DLR’s TerraSAR-X satellite, and (2) the L-band
airborne radar data from NASA’s Uninhabited Aerial Vehicle
Synthetic Aperture Radar (UAVSAR). The RX anomaly
detector, an unsupervised classification algorithm, was
implemented to detect anomalies on the levee. The discrete
wavelet transform (DWT) is used for feature extraction. The
algorithm was tested with both the L-band and X-band SAR data
and the results demonstrate that landslide detection using Lband
radar data has better accuracy compared to the X-band
data based on the detection of true positives.