Learn how satellites mounting SAR sensors are used to detect ground movement to millimeter precision.
This section describes how SAR systems acquire radar images, the basic principle of interferometry (on which all successive algorithms are based) and the evolution of the algorithms used to extract ground deformation data from the SAR images. See a description of the latest algorithm SqueeSAR™.
SAR satellites acquire images of the Earth’s surface by emitting radar signals and analyzing the reflected signal. A typical SAR image is 100 x 100 km and is regularly acquired over the same area.
As SAR satellites continuously circumnavigating the globe, a number of SAR images can be collected for the same area over time. By processing the SAR dataset for ground movement, the evolution of ground deformation can be extracted that can be useful for many applications.
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SAR Imagery

SAR imagery, SAR signal properties, SAR sensor baring satellites and their orbital patterns.
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InSAR Evolution

Interferograms, interferometry, DInSAR and the prior TRE technique: PSInSAR™.
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SqueeSAR™

SqueeSAR™ is the latest algorithm in SAR interferometry identifying both point-wise Permanent Scatters (PS) and Distributed Scatters (DS).
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What can be measured?

Line of sight (LOS) measurements, true vertical and east-west horizonral motion and possible geometrical distortion.
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