A multi‐temporal InSAR method incorporating both persistent scatterer and small baseline approaches

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A spatially variable power law tropospheric correction technique for InSAR data (2015, methodology): “We applied time series InSAR processing using the StaMPS software [Hooper, 2008; Hooper et al., 2012] to reduce noise and estimate a digital elevation model (DEM) correction.”
Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives (2014, methodology): “The last decade has also witnessed continuous progress in SAR data processing techniques with the development of a series of different and increasingly sophisticated MTI techniques (e.g. Hooper, 2008; Fornaro et al., 2009; Ferretti et al, 2011).”
A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR (2011, methodology): “The need for a data fusion algorithm to properly combine PS and DS to increase the density of measurement points has been already highlighted by many authors [13]–[15].”
Persistent Scatterer Interferometry: A review (2016, methodology): “This work originated one of the most widely used PSI software packages, StaMPS (Hooper and Zebker, 2007; Hooper, 2008).”