An approach to monitoring mangrove extents through time-series comparison of JERS-1 SAR and ALOS PALSAR data

Nathan Thomas, Richard Lucas*, Takuya Itoh, Marc Simard, Lola Fatoyinbo, Peter Bunting, Ake Rosenqvist

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Between 2007 and 2010, Japan’s Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band Synthetic Aperture Radar (PALSAR) captured dual polarization HH and HV data across the tropics and sub-tropics. A pan tropical dataset of Japanese Earth Resources Satellite (JERS-1) SAR (HH) data was also acquired between 1995 and 1998. The provision of these comparable cloud-free datasets provided an opportunity for observing changes in the extent of coastal mangroves over more than a decade. Focusing on nine sites distributed through the tropics, this paper demonstrates how these data can be used to backdate and update existing baseline maps of mangrove extent. The benefits of integrating dense time-series of Landsat sensor data for both validating assessments of change and determining the causes of change are outlined. The approach is evaluated for wider application across the geographical range of mangroves in order to advance the development of JAXA’s Global Mangrove Watch (GMW) program.
Original languageEnglish
Pages (from-to)3-17
Number of pages15
JournalWetlands Ecology and Management
Volume23
Issue number1
Early online date07 Aug 2014
DOIs
Publication statusPublished - 01 Feb 2015

Keywords

  • Change
  • Mangroves
  • Radar
  • Remote sensing

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