Maximum Temporal Baseline for InSAR Time Series

InSAR time series analysis is a technique for observing changes in range or phase of a radar resolution element from a sequence of radar acquisitions. General methods of retrieving temporal signals, such as small baseline subset analysis (SBAS) [1], allow for redundant measurement in order to reduce statistical variations from system noises. Recent work using significant redundancy shows that spatial and temporal aliasing leads to additional errors in measurement [2]. Here we show that it is necessary to optimally balance the amount of redundancy with he amount of aliasing to obtain the highest quality estimates of deformation, and further that a spatially variable level of averaging interferograms is needed for many analyses. Development of a practical algorithm remains before we are operationally able to fully exploit the capabilities of an InSAR system.