InSAR time series analysis of L-band data for understanding tropical peatland degradation and restoration

Zhou, Z., Li, Z., Waldron, S. and Tanaka, A. (2019) InSAR time series analysis of L-band data for understanding tropical peatland degradation and restoration. Remote Sensing, 11(21), 2592. (doi: 10.3390/rs11212592)

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Abstract

In this study, satellite radar observations are employed to reveal spatiotemporal changes in ground surface height of peatlands that have, and have not, undergone restoration in Central Kalimantan, Indonesia. Our time series analysis of 26 scenes of Advanced Land Observation Satellite-1 (ALOS-1) Phased-Array L-band Synthetic-Aperture Radar (PALSAR) images acquired between 2006 and 2010 suggests that peatland restoration was positively affected by the construction time of dams—the earlier the dam was constructed, the more significant the restoration appears. The results also suggest that the dams resulted in an increase of ground water level, which in turn stopped peat losing height. For peatland areas without restoration, the peatland continuously lost peat height by up to 7.7 cm/yr. InSAR-derived peat height changes allow the investigation of restoration effects over a wide area and can also be used to indirectly assess the relative magnitude and spatial pattern of peatland damage caused by drainage and fires. Such an assessment can provide key information for guiding future restoration activities.

Item Type:Articles
Keywords:Peatland, subsidence, restoration monitoring, InSAR, time series analysis.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Waldron, Professor Susan and Li, Dr Zhenhong
Creator Roles:
Li, Z.Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review and editing
Waldron, S.Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – review and editing
Authors: Zhou, Z., Li, Z., Waldron, S., and Tanaka, A.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
Journal Name:Remote Sensing
Publisher:MDPI
ISSN:2072-4292
ISSN (Online):2072-4292
Published Online:05 November 2019
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Remote Sensing 11(21): 2592
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190171GAS: Generic Atmosphere Solutions for radar measurementsZhenhong LiNatural Environment Research Council (NERC)NE/H001085/1GES - Geography
168487Looking inside the Continents from Space: Insights into Earthquake Hazard and Crustal DeformationZhenhong LiNatural Environment Research Council (NERC)NE/K010794/1GES - Geography