• DocumentCode
    575961
  • Title

    Interoperability of multi-frequency SAR data for forest information extraction in support of national MRV systems

  • Author

    Mitchell, A.L. ; Williams, McKay ; Tapley, I. ; Milne, A.K.

  • Author_Institution
    Cooperative Res. Centre for Spatial Inf. (CRC-SI), Univ. of New South Wales, Kensington, NSW, Australia
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3166
  • Lastpage
    3169
  • Abstract
    Continuity of earth observation data is paramount to operational forest information monitoring in support of national accountability of forest and carbon stocks. Following the loss of ALOS PALSAR in May 2011, the minimum 2 year gap before PALSAR-2 comes online, and the superiority of L-band data for forest monitoring, this paper addresses the issue of interoperability of SAR data through comparison of forest/non-forest, land cover and deforestation derived from independent and combined classifications of PALSAR and RADARSAT-2 data. Forest/non-forest mapping accuracies were highest using PALSAR data alone. The combined use of C- and L-band data resulted in higher forest/non-forest mapping accuracies compared to using C-band data alone. Attributed largely to an increased capacity for penetration of the vegetation canopy and interaction with woody structures, L-band SAR is most suited to forest cover mapping. Without a dense time-series, the separation of cleared or deforested land and regrowth areas is more difficult using C-band alone.
  • Keywords
    forestry; information retrieval; remote sensing by radar; synthetic aperture radar; terrain mapping; vegetation; vegetation mapping; wood; AD 2011 05; ALOS PALSAR; C-band data; L-band data; PALSAR data classification; PALSAR-2; RADARSAT-2 data classification; carbon stocks; deforestation; earth observation data; forest information extraction; forest information monitoring; forest mapping accuracies; forest monitoring; land cover; multifrequency SAR data; national MRV systems; nonforest mapping accuracies; vegetation canopy; woody structures; Accuracy; Feature extraction; L-band; Monitoring; Noise measurement; Support vector machines; Synthetic aperture radar; deforestation; forest monitoring; interoperability; radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350752
  • Filename
    6350752