GECORIS: An Open-Source Toolbox for Analyzing Time Series of Corner Reflectors in InSAR Geodesy

Remote Sensing

Hans van der Marel¹  Juraj Papco²  Richard Czikhardt² 

[1] Department of Geoscience and Remote Sensing, Delft University of Technology, 2628 CN Delft, The Netherlands;Department of Theoretical Geodesy and Geoinformatics, Faculty of Civil Engineering, Slovak University of Technology, Radlinskeho 11, 810 05 Bratislava, Slovakia;

关键词: Synthetic Aperture Radar (SAR);    SAR interferometry (InSAR);    corner reflector;    Python toolbox;    signal-to-clutter ratio;    radar cross section;   

DOI  :  10.3390/rs13050926

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown