CAN Bog Breathing be Measured by Synthetic Aperture Radar Interferometry

  • Tauri Tampuu*
  • , Francesco De Zan
  • , Robert Shau
  • , Jaan Praks
  • , Marko Kohv
  • , Ain Kull
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Web of Science)

Abstract

Accounting for relatively large seasonal and short term peatland surface vertical displacements with Synthetic Aperture Radar Interferometry (InSAR) poses a problem of possible propagation of ambiguity errors. Notwithstanding, the absence of continuous high temporal resolution peatland surface levelling measurements for validation has been something characteristic. Based on the ground levelling from a raised bog, we demonstrate the Sentinel-1 distributed scatterer (DS) time-series InSAR technique underestimates real surface displacements and hereby we question the accuracy of the approach over peatlands. When the relative surface change from 6-day interferograms is used instead of accounting for the absolute change, the estimation accuracy improves (Spearman's rho 0.82, p-value < 0.002) because 6-day in situ surface changes are usually small and do not need InSAR phase unwrapping. Despite a serious unwrapping problem in peatlands, DS time series contain useful signal and differential InSAR (DInSAR) might have potential for assessment of short term peatland surface displacements in favourable conditions.

Original languageEnglish
Title of host publicationIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE
Pages16-19
Number of pages4
ISBN (Electronic)978-1-6654-2792-0
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Conference publication
EventIEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022

Publication series

NameIEEE International Geoscience and Remote Sensing Symposium proceedings
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/202222/07/2022

Funding

This study is part of a PhD research supported by the European Union from the European Regional Development Fund, the national scholarship program Kristjan Jaak and by grants of Estonian State Forest Management Centre (LL-TOM17250) and Estonian Environmental Investment Centre (SLOOM12006 and SLOOM14103). The authors would like to thank Karsten Kretschmer (DLR) for help with Python and the Sarproz team for providing an excellent software with extremely flexible student licensing.

Keywords

  • InSAR
  • Peatland
  • Phase ambiguity
  • Sentinel-1
  • Surface deformation

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