Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationProceedings of the IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Place of PublicationDanvers
PublisherIEEE
Pages20-23
Number of pages4
ISBN (Electronic)978-1-6654-2792-0
ISBN (Print)978-1-6654-2793-7
DOIs
Publication statusPublished - 2022
EventIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022

Conference

ConferenceIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/2222/07/22

Fingerprint

Dive into the research topics of 'Hybrid InSAR Processing for Rapidly Deforming Peatlands Aided by Contextual Information'. Together they form a unique fingerprint.

Cite this