Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information

Philip Conroy; Simon .A.N. van Diepen; Freek J. van Leijen; Ramon F. Hanssen

doi:10.1109/IGARSS46834.2022.9883542

Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information

Philip Conroy, Simon .A.N. van Diepen, Freek J. van Leijen, Ramon F. Hanssen

Mathematical Geodesy and Positioning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Place of Publication	Danvers
Publisher	IEEE
Pages	20-23
Number of pages	4
ISBN (Electronic)	978-1-6654-2792-0
ISBN (Print)	978-1-6654-2793-7
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9883542
Publication status	Published - 2022
Event	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022

Conference

Conference	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Country/Territory	Malaysia
City	Kuala Lumpur
Period	17/07/22 → 22/07/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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@inproceedings{3009a4f960b54f20b33d61b23a724c61,

title = "Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information",

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.",

author = "Philip Conroy and {van Diepen}, {Simon .A.N.} and {van Leijen}, {Freek J.} and Hanssen, {Ramon F.}",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9883542",

language = "English",

isbn = "978-1-6654-2793-7",

pages = "20--23",

booktitle = "Proceedings of the IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",

publisher = "IEEE",

address = "United States",

}

Conroy, P , van Diepen, SAN , van Leijen, FJ & Hanssen, RF 2022, Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information. in Proceedings of the IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Danvers, pp. 20-23, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17/07/22. https://doi.org/10.1109/IGARSS46834.2022.9883542

Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information. / Conroy, Philip ; van Diepen, Simon .A.N.; van Leijen, Freek J. et al.
Proceedings of the IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Danvers: IEEE, 2022. p. 20-23.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information

AU - Conroy, Philip

AU - van Diepen, Simon .A.N.

AU - van Leijen, Freek J.

AU - Hanssen, Ramon F.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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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DO - 10.1109/IGARSS46834.2022.9883542

M3 - Conference contribution

SN - 978-1-6654-2793-7

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EP - 23

BT - Proceedings of the IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

CY - Danvers

T2 - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 17 July 2022 through 22 July 2022

ER -

Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information

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