Permafrost seasonal surface changes revealed from Sentinel-1 InSAR time-series, Yamal peninsula

Kanayim Teshebaeva*, Ko J. Van Huissteden, Alexander V. Puzanov, Dmitry N. Balykin, Anton I. Sinitsky, Nelley Kovalevskaya

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Widespread thawing of permafrost in the northern Eurasian continent causes severe problems for infrastructure and global climate. We test the potential of Sentinel-1 SAR imagery to enhance detection of permafrost surface changes in the Siberian lowlands of the northern Eurasian continent at the Yamal peninsula site. We used InSAR time-series technique to detect seasonal surface movements related to permafrost active layer changes. The satellite InSAR time-series analysis has detected continuous movements, subsidence in three zones, which have occurred during the time period from 2017 to 2018. Observed subsidence zones show up to 180mmyr1 rates of seasonal active layers changes. These seasonal ground displacement patterns align well with lithology and linked to anthropogenic impact on the permafrost surface changes in the area. The results show that Sentinel-1 mission is of great importance for the longer-term monitoring of active layer thickening in permafrost regions. The combined analyses of the obtained InSAR time series with additional field observations may support regular process monitoring as part of a global warming risk assessment.

Original languageEnglish
Pages (from-to)183-187
Number of pages5
JournalProceedings of the International Association of Hydrological Sciences
Volume382
DOIs
Publication statusPublished - 22 Apr 2020
Event10th International Symposium on Land Subsidence, TISOLS 2020 - Delft, Netherlands
Duration: 17 May 202121 May 2021

Funding

Financial support. This research has been supported by the Netherlands Organization for Scientific Research NWO (grant no. ALW-GO/16-13).

FundersFunder number
Netherlands Organization for Scientific Research NWOALW-GO/16-13

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