Journal of the Indian Society of Remote Sensing

, Volume 19, Issue 3, pp 163–174 | Cite as

An evaluation of landsat thematic mapper data for reforestation monitoring in British Columbia

  • Arun K Bansal
  • Peter A Murtha
  • Raoul J Wiart


Renewal of forests is important for continued wood supply and for other benefits. Consequently, restocking of forest cut-overs is a major forest management activity. Effective planning and successful implementation of reforestation programmes require efficient techniques for obtaining timely and accurate information regarding restocking status over clearcut forest lands. The purpose of this paper is to investigate the potential of Landsat Thematic Mapper (TM) data for reforestation monitoring. B-distance, a multivariation distance measure, has been used to measure spectral separability. Attempt has been made to discriminate five restocking classes (with percent canopy classes of 0,10 -12,15 -18, 43 - 47 and 100). Finally selection has been made for the optimum multiband subset from the six reflective TM bands. The results indicate that the combinations of TM bands 3-4-5, 4-5-7,1-4-5, and 2-4-5 were most useful for discriminating various restocking classes. Overall classification accuracies are estimated to be approximately 90 percent using these three-band subsets.


Remote Sensing Landsat Thematic Mapper Landsat Thematic Mapper Spectral Separability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer 1991

Authors and Affiliations

  • Arun K Bansal
    • 2
  • Peter A Murtha
    • 1
  • Raoul J Wiart
    • 3
  1. 1.FIRMS, Faculty of ForestryUniversity of British ColumbiaVancouverCanada
  2. 2.Office of the Principal Chief Conservator of ForestsOrissa, Bhubaneswar
  3. 3.B.C. Ministry of ForestsVictoriaCanada

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