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

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• 作者：Nathan Thomas ; Richard Lucas ; Takuya Itoh ; Marc Simard…
• 关键词：Remote sensing ; Radar ; Mangroves ; Change
• 刊名：Wetlands Ecology and Management
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：23
• 期：1
• 页码：3-17
• 全文大小：15,339 KB
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• 作者单位：Nathan Thomas (1)
  Richard Lucas (2)
  Takuya Itoh (3)
  Marc Simard (4)
  Lola Fatoyinbo (5)
  Peter Bunting (1)
  Ake Rosenqvist (6)
  
  1. Department of Geography and Earth Science, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3DB, Wales, UK
  2. School of Biological, Earth and Environmental Sciences, the University of New South Wales, High Street, Kensington, NSW, 2052, Australia
  3. Remote Sensing Technology Center of Japan (RESTEC), Roppongi First Building 12F, 1-9-9 Roppongi, Minato-ku, Tokyo, 106-0032, Japan
  4. Jet Propulsion Laboratory, California Institute of Technology, MS 300-319D, 4800 Oak Grove Dr, Pasadena, CA, 90039, USA
  5. Biospheric Sciences Laboratory, Code 618, NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD, 20771, USA
  6. solo Earth Observation (soloEO), TTT Mid-Tower 5006, Kachidoki 6-3-2, Chuo-ku, Tokyo, 104-0054, Japan
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Hydrobiology
  Evolutionary Biology
  Ecology
  
• 出版者：Springer Netherlands
• ISSN：1572-9834

文摘

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.