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 language | English |
|---|---|
| Title of host publication | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium |
| Publisher | IEEE |
| Pages | 16-19 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-6654-2792-0 |
| DOIs | |
| Publication status | Published - 2022 |
| MoE publication type | A4 Conference publication |
| Event | IEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022 |
Publication series
| Name | IEEE International Geoscience and Remote Sensing Symposium proceedings |
|---|---|
| ISSN (Print) | 2153-6996 |
| ISSN (Electronic) | 2153-7003 |
Conference
| Conference | IEEE International Geoscience and Remote Sensing Symposium |
|---|---|
| Abbreviated title | IGARSS |
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 17/07/2022 → 22/07/2022 |
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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