On the synergy of Standard and Extra-Fine mode Radarsat-2 data for surface deformation mapping

Bin Zhang, Ling Chang, A. Stein

Research output: Contribution to conferenceAbstractAcademic

29 Downloads (Pure)


The study attempts to design and demonstrate a method to concatenate Radarsat-2 satellite datasets with different operational modes and map subsidence dynamics. We propose a strategy with three steps:
1. to generate Persistent Scatterers (PS) and the associated deformation time series by a standard PSI approach for SM (Standard mode) and XFM (Extra-Fine mode) datasets respectively.
2. to integrate data in space by tie-point pairs. We propose to identify common ground targets (or tie-point pairs) from SM and XFM SAR datasets considering the PS geolocation uncertainty which is described as error ellipsoids. The Monte Carlo method is used to compute the intersection of the error ellipsoids of the potential tie-point pairs (see figure 1 as an example) and then to define the weight for (deformation) data connection in time.
3. to integrate data in time by concatenating deformation time series of each tie-point pair. We use a probabilistic approach to modeling the (long-term) deformation time series, see figure 2 as an example.
We use more than 100 Radarsat-2 data which were acquired between 2010 and 2017, to demonstrate our approaches.
Original languageEnglish
Number of pages3
Publication statusPublished - 5 Nov 2020
EventNCG Symposium 2020 - Online Event, Netherlands
Duration: 5 Nov 20205 Nov 2020


ConferenceNCG Symposium 2020
Internet address


Dive into the research topics of 'On the synergy of Standard and Extra-Fine mode Radarsat-2 data for surface deformation mapping'. Together they form a unique fingerprint.

Cite this