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A Functional Model for Determining Maximum Detectable Deformation Gradients of InSAR Considering the Topography in Mountainous Areas

Keren Dai, Youdong Chen, Qiang Xu, Craig Hancock, Mi Jiang, Jin Deng, Guanchen Zhuo

2023IEEE Transactions on Geoscience and Remote Sensing15 citationsDOIOpen Access PDF

Abstract

The maximum detectable deformation gradients (MDDG) for interferometric synthetic aperture radar (InSAR) technology is important for the selection of SAR images and processing algorithms to perform accurate slope displacement monitoring, which is strongly influenced by terrain factors in mountainous areas. In this paper, a functional model is proposed to determine the MDDG of InSAR with respect to arbitrary slope gradients/aspects and wavelengths. Based on this model, regional MDDG characteristics are explored and compared in Mao County, Sichuan Province, China. The MDDG distribution regarding on Sentinel-1, ALOS-2/PALSAR-2 and TerraSAR-X SAR satellite data using arbitrary slope gradient/aspect are derived. Furthermore, the MDDG from variable satellites for three different bands (X/C/L-band) are compared and the influence factors with respect to the wavelength and resolution on MDDG are discussed. The proposed model is helpful in selecting of SAR data or processing algorithms based on calculated MDDG, in the meanwhile, it has significant implications on the understanding and analyzing real slope displacement monitored by InSAR regarding on different SAR images in mountainous areas.

Topics & Concepts

Interferometric synthetic aperture radarSynthetic aperture radarRemote sensingTerrainGeodesyGeologyDisplacement (psychology)SatelliteInterferometryRadarRadar imagingComputer scienceGeographyCartographyPsychologyAstronomyAerospace engineeringPsychotherapistTelecommunicationsEngineeringPhysicsSynthetic Aperture Radar (SAR) Applications and TechniquesAdvanced SAR Imaging TechniquesCryospheric studies and observations
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