Gecoris: An open-source toolbox for analyzing time series of corner reflectors in insar geodesy

Richard Czikhardt*, Hans van der Marel, Juraj Papco

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
428 Downloads (Pure)


Artificial radar reflectors, such as corner reflectors or transponders, are commonly used for radiometric and geometric Synthetic Aperture Radar (SAR) sensor calibration, SAR interferometry (InSAR) applications over areas with few natural coherent scatterers, and InSAR datum connection and geodetic integration. Despite the current abundance of regular SAR time series, no free and open-source software (FOSS) dedicated to analyzing SAR time series of artificial radar reflectors exists. In this paper, we present a FOSS Python toolbox for efficient and automatic estimation of: (i) the clutter level of a particular site before a corner reflector installation, (ii) the Radar Cross Section (RCS) to track a corner reflector’s performance and detect outliers, for example, due to damage or debris accumulation, (iii) the Signal-to-Clutter Ratio (SCR) to predict the positioning precision and the InSAR phase variance, (iv) the InSAR displacement time series of a corner reflector network. We use the toolbox to analyze Sentinel-1 SAR time series of the network of 23 corner reflectors for InSAR monitoring of landslides in Slovakia.

Original languageEnglish
Article number926
Pages (from-to)1-26
Number of pages26
JournalRemote Sensing
Issue number5
Publication statusPublished - 2021


  • Corner reflector
  • Python toolbox
  • Radar cross section
  • SAR interferometry (InSAR)
  • Signal-to-clutter ratio
  • Synthetic Aperture Radar (SAR)


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