Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information

Conference Paper (2022)
Author(s)

Philip Conroy (TU Delft - Mathematical Geodesy and Positioning)

Simon A.N. van Diepen (TU Delft - Mathematical Geodesy and Positioning)

FJ Van Leijen (TU Delft - Mathematical Geodesy and Positioning)

RF Hanssen (TU Delft - Mathematical Geodesy and Positioning)

Research Group
Mathematical Geodesy and Positioning
Copyright
© 2022 Philip Conroy, S.A.N. van Diepen, F.J. van Leijen, R.F. Hanssen
DOI related publication
https://doi.org/10.1109/IGARSS46834.2022.9883542
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Philip Conroy, S.A.N. van Diepen, F.J. van Leijen, R.F. Hanssen
Research Group
Mathematical Geodesy and Positioning
Pages (from-to)
20-23
ISBN (print)
978-1-6654-2793-7
ISBN (electronic)
978-1-6654-2792-0
Reuse Rights

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Abstract

We present a novel InSAR processing scheme which combines point scatterer (PS) and distributed scatter (DS) approaches in a hybrid framework along with contextual information about the environment under study. Data such as land parcel divisions, precipitation and temperature are integrated into the processing pipeline in order to produce accurate deformation time series estimates of the Dutch peatlands. In addition to these steps, a segmented processing scheme is introduced to manage irreversible losses of coherence in the interferogram stack. Initial results show a promising agreement with in-situ ground truth measurements gathered by extensometer readings of shallow surface deformation.

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