Advanced methods for time-series InSAR

Book Chapter (2022)
Authors

Dinh Minh (Institut National de Recherche Pour L’Agriculture, L’Alimentation et L’Environnement (INRAE), UMR Tetis)

R. Hanssen (TU Delft - Mathematical Geodesy and Positioning)

Marie-Pierre Doin (Institut des Sciences de la Terre)

Erwan Pathier (Institut des Sciences de la Terre)

Research Group
Mathematical Geodesy and Positioning
To reference this document use:
https://doi.org/10.1002/9781119986843.ch5
More Info
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Publication Year
2022
Language
English
Related content
Research Group
Mathematical Geodesy and Positioning
Pages (from-to)
125-154
ISBN (print)
9781789450835
ISBN (electronic)
9781119986843
DOI:
https://doi.org/10.1002/9781119986843.ch5

Abstract

While many time-series interferometric synthetic aperture radar (InSAR) methods have been developed in the last 20 years, most of them share similar characteristics so that they can be categorized into two types of techniques based on how they account for signal decorrelations. The first category of techniques is based on distributed scatterers (DSs) for deformation monitoring. A common way of reducing signal decorrelations is to select interferograms with short spatial and temporal baselines (small baseline (SB) techniques). The second approach is permanent/persistent scatterer (PS) InSAR techniques, which use individual scatterers that dominate the signal from within a resolution cell to track deformation through time. A recent advanced technique allows us to combine both PSs and DSs to overcome the sparsity of identified points for estimation (the persistent scatterer–distributed scatterer (PSDS) technique). This chapter describes the two main families of time-series InSAR techniques (SB and PSDS).

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