Potential of APSIS-InSAR for measuring surface oscillations of tropical peatlands

Ledger, Martha J.; Sowter, Andrew; Morrison, Keith; Evans, Chris D.; Large, David J.; Athab, Ahmed; Gee, David; Brown, Chloe; Sjögersten, Sofie

Abstract

Tropical peatland across Southeast Asia is drained extensively for production of pulpwood, palm oil and other food crops. Associated increases in peat decomposition have led to widespread subsidence, deterioration of peat condition and CO2 emissions. However, quantification of subsidence and peat condition from these processes is challenging due to the scale and inaccessibility of dense tropical peat swamp forests. The development of satellite interferometric synthetic aperture radar (InSAR) has the potential to solve this problem. The Advanced Pixel System using Intermittent Baseline Subset (APSIS, formerly ISBAS) modelling technique provides improved coverage across almost all land surfaces irrespective of ground cover, enabling derivation of a time series of tropical peatland surface oscillations across whole catchments. This study aimed to establish the extent to which APSIS-InSAR can monitor seasonal patterns of tropical peat surface oscillations at North Selangor Peat Swamp Forest, Peninsular Malaysia. Results showed that C-band SAR could penetrate the forest canopy over tropical peat swamp forests intermittently and was applicable to a range of land covers. Therefore the APSIS technique has the potential for monitoring peat surface oscillations under tropical forest canopy using regularly acquired C-band Sentinel-1 InSAR data, enabling continuous monitoring of tropical peatland surface motion at a spatial resolution of 20 m.

Citation

Ledger, M. J., Sowter, A., Morrison, K., Evans, C. D., Large, D. J., Athab, A., Gee, D., Brown, C., & Sjögersten, S. (2024). Potential of APSIS-InSAR for measuring surface oscillations of tropical peatlands. PLoS ONE, 19(2), Article e0298939. https://doi.org/10.1371/journal.pone.0298939

• Journal Article Type: Article
• Acceptance Date: Feb 1, 2024
• Online Publication Date: Feb 23, 2024
• Publication Date: Feb 1, 2024
• Deposit Date: May 3, 2024
• Publicly Available Date: May 3, 2024
• Journal: PLoS ONE
• Electronic ISSN: 1932-6203
• Publisher: Public Library of Science
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 2
• Article Number: e0298939
• DOI: https://doi.org/10.1371/journal.pone.0298939
• Keywords: Forests; Swamps; Wetlands; Lidar; Radar; Trees; Open data; Signal processing
• Public URL: https://nottingham-repository.worktribe.com/output/31881242