Affiliations 

  • 1 School of Biosciences, University of Nottingham, Sutton Bonington, Loughborough, United Kingdom
  • 2 Terra Motion Limited, Ingenuity Centre, Nottingham, United Kingdom
  • 3 Department of Meteorology, University of Reading, Earley Gate, Reading, United Kingdom
  • 4 UK Centre for Ecology and Hydrology, Environment Centre Wales, Deiniol Road, Bangor, United Kingdom
  • 5 Faculty of Engineering, University of Nottingham, Nottingham, United Kingdom
  • 6 School of Geography, University of Nottingham, Nottingham, United Kingdom
PLoS One, 2024;19(2):e0298939.
PMID: 38394278 DOI: 10.1371/journal.pone.0298939

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.