Insar Coherence for Monitoring Water Table Fluctuations in Northern Peatlands

Tauri Tampuu, Jaan Praks, Ain Kull

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


Northern peatlands are significant pools of stored carbon. Understanding of seasonal dynamics of peat water table (WT) is the key to improve spatial models of material flows and gas exchange in those landscapes. Since synthetic aperture radar interferometric (InSAR) observables are influenced by soil moisture variations, the objective of this study is to examine the ability of Sentinel-1 long term InSAR coherence magnitude (calculated using a single master image) to characterize seasonal dynamics of peatland WT over 3 years of different climatological conditions. We show how in the open bog the coherence can be preserved more than 6 months and is related to peat WT difference in favourable weather condition. The second degree polynomial regression model can describes the relationship between coherence and WT with Root Mean Squared Error RMSE 0.047 (p < 0.001). These findings suggest long term InSAR coherence has potential to characterize seasonal bog WT fluctuations, especially during dry summers or in intensive drainage affected sites with high discharges.

Original languageEnglish
Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
Number of pages4
ISBN (Electronic)9781728163741
Publication statusPublished - 26 Sep 2020
MoE publication typeA4 Article in a conference publication
EventInternational Geoscience and Remote Sensing Symposium - Virtual, Online, Waikoloa, United States
Duration: 26 Sep 20202 Oct 2020

Publication series

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


ConferenceInternational Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
Country/TerritoryUnited States


  • change detection
  • interferometry
  • raised bog
  • Sentinel-1
  • soil moisture
  • synthetic aperture radar


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