Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland

Satellite Earth Observation (EO) is often used as a cost-effective method to report on the condition of remote and inaccessible peatland areas. Current EO techniques are primarily limited to reporting on the vegetation classes and properties of the immediate peat surface using optical data, which ca...

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Main Authors: Alshammari, Lubna, Large, David, Boyd, Doreen S., Sowter, Andrew, Anderson, Russell, Andersen, Roxane, Marsh, Stuart
Format: Article
Language:English
Published: MDPI 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/53080/
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author Alshammari, Lubna
Large, David
Boyd, Doreen S.
Sowter, Andrew
Anderson, Russell
Andersen, Roxane
Marsh, Stuart
author_facet Alshammari, Lubna
Large, David
Boyd, Doreen S.
Sowter, Andrew
Anderson, Russell
Andersen, Roxane
Marsh, Stuart
author_sort Alshammari, Lubna
building Nottingham Research Data Repository
collection Online Access
description Satellite Earth Observation (EO) is often used as a cost-effective method to report on the condition of remote and inaccessible peatland areas. Current EO techniques are primarily limited to reporting on the vegetation classes and properties of the immediate peat surface using optical data, which can be used to infer peatland condition. Another useful indicator of peatland condition is that of surface motion, which has the potential to report on mass accumulation and loss of peat. Interferometic SAR (InSAR) techniques can provide this using data from space. However, the most common InSAR techniques for information extraction, such as Persistent Scatterers’ Interferometry (PSI), have seen limited application over peat as they are primarily tuned to work in areas of high coherence (i.e., on hard, non-vegetated surfaces only). A new InSAR technique, called the Intermittent Small BAseline Subset (ISBAS) method, has been recently developed to provide measurements over vegetated areas from SAR data acquired by satellite sensors. This paper examines the feasibility of the ISBAS technique for monitoring long-term surface motion over peatland areas of the Flow Country, in the northeast of Scotland. In particular, the surface motions estimated are compared with ground data over a small forested area (namely the Bad a Cheo forest Reserve). Two sets of satellite SAR data are used: ERS C-band images, covering the period 1992–2000, and Sentinel-1 C-band images, covering the period 2015–2016. We show that the ISBAS measurements are able to identify surface motion over peatland areas, where subsidence is a consequence of known land cover/land use. In particular, the ISBAS products agree with the trend of surface motion, but there are uncertainties with their magnitude and direction (vertical). It is concluded that there is a potential for the ISBAS method to be able to report on trends in subsidence and uplift over peatland areas, and this paper suggests avenues for further investigation, but this requires a well-resourced validation campaign.
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spelling nottingham-530802018-07-27T10:30:17Z https://eprints.nottingham.ac.uk/53080/ Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland Alshammari, Lubna Large, David Boyd, Doreen S. Sowter, Andrew Anderson, Russell Andersen, Roxane Marsh, Stuart Satellite Earth Observation (EO) is often used as a cost-effective method to report on the condition of remote and inaccessible peatland areas. Current EO techniques are primarily limited to reporting on the vegetation classes and properties of the immediate peat surface using optical data, which can be used to infer peatland condition. Another useful indicator of peatland condition is that of surface motion, which has the potential to report on mass accumulation and loss of peat. Interferometic SAR (InSAR) techniques can provide this using data from space. However, the most common InSAR techniques for information extraction, such as Persistent Scatterers’ Interferometry (PSI), have seen limited application over peat as they are primarily tuned to work in areas of high coherence (i.e., on hard, non-vegetated surfaces only). A new InSAR technique, called the Intermittent Small BAseline Subset (ISBAS) method, has been recently developed to provide measurements over vegetated areas from SAR data acquired by satellite sensors. This paper examines the feasibility of the ISBAS technique for monitoring long-term surface motion over peatland areas of the Flow Country, in the northeast of Scotland. In particular, the surface motions estimated are compared with ground data over a small forested area (namely the Bad a Cheo forest Reserve). Two sets of satellite SAR data are used: ERS C-band images, covering the period 1992–2000, and Sentinel-1 C-band images, covering the period 2015–2016. We show that the ISBAS measurements are able to identify surface motion over peatland areas, where subsidence is a consequence of known land cover/land use. In particular, the ISBAS products agree with the trend of surface motion, but there are uncertainties with their magnitude and direction (vertical). It is concluded that there is a potential for the ISBAS method to be able to report on trends in subsidence and uplift over peatland areas, and this paper suggests avenues for further investigation, but this requires a well-resourced validation campaign. MDPI 2018-07-11 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/53080/1/remotesensing-10-01103-v2.pdf Alshammari, Lubna, Large, David, Boyd, Doreen S., Sowter, Andrew, Anderson, Russell, Andersen, Roxane and Marsh, Stuart (2018) Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland. Remote Sensing, 10 (7). 1103/1-1103/24. ISSN 2072-4292 Interferometric SAR; Peatland condition; Surface motion; Flow Country; Intermittent Small BAaseline Subset (ISBAS); Sentinel-1; ERS http://dx.doi.org/10.3390/rs10071103 doi:10.3390/rs10071103 doi:10.3390/rs10071103
spellingShingle Interferometric SAR; Peatland condition; Surface motion; Flow Country; Intermittent Small BAaseline Subset (ISBAS); Sentinel-1; ERS
Alshammari, Lubna
Large, David
Boyd, Doreen S.
Sowter, Andrew
Anderson, Russell
Andersen, Roxane
Marsh, Stuart
Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland
title Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland
title_full Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland
title_fullStr Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland
title_full_unstemmed Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland
title_short Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland
title_sort long-term peatland condition assessment via surface motion monitoring using the isbas dinsar technique over the flow country, scotland
topic Interferometric SAR; Peatland condition; Surface motion; Flow Country; Intermittent Small BAaseline Subset (ISBAS); Sentinel-1; ERS
url https://eprints.nottingham.ac.uk/53080/
https://eprints.nottingham.ac.uk/53080/
https://eprints.nottingham.ac.uk/53080/