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Estimating stand structure using digitalized aerial photography


This study estimates the structure of a forest stand using high-resolution data from digitized aerial photography. The study area was conducted on the fifteen plots with the size of 20 m × 20 m or 15 m × 15 m taken as samples of sugi (Cryptomeria japonica D. Don) stands. The stand factor was investigated based on its relation with the digitalized number (DN) on the black and white aerial ortho photos (scale 1:5,000, taken in 1995). We analyzed various stand structure factors and the distribution of DN from the image data using the Weibull function, which comforms well to every shape of distributions. Using the Weibull distribution, a significant negative correlation was observed between the quantity of stand factors (Mean DBH and the stand volume) and the distribution parameterc of DN. A significant positive correlation was also observed between the distribution parameterc of the stand factor (DBH, height and volume) and the distribution parameterc of DN.

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Literature cited

  1. Abe, N. (1980) Studies on the management ofAbies sachalinensis Mast. planted forest (II): Yield table ofAbies sachalinensis in Hokkaido Prefectural forest. Bull. Hokkaido Forest Exp. Stn. 18: 71–93. (in Japanese with English summary)

    Google Scholar 

  2. Bailey, R.L. (1973) Quantifying diameter distributions with the Weibull functon. For. Soc. 19: 97–104.

    Google Scholar 

  3. Befort, W.A., Kessler, B.L., and Anderson, H.N. (1981) Stand den sity estimation on panoramic transparencies. Photgr. Eng. Remote Sens. 10: 1477–1481.

    Google Scholar 

  4. Cohen, W.B. and Spies, T.A. (1990a) Remote sensing of canopy structure in the Pacific Northwest. Northwest Environ. J. 6: 415–418.

    Google Scholar 

  5. Cohen, W. B. and Spies, T. A. (1990b) Semivariograms of digital imagery for analysis of conifer canopy structure. Remote Sens. Environ. 34: 167–178.

    Article  Google Scholar 

  6. Cohen, W.B. and Spies, T.A. (1992) Estimating structural attributes of Douglas-Fir/Western Hemlock forest stand from Landsat and SPOT imagery. Remote Sens. Environ. 46: 1–17.

    Article  Google Scholar 

  7. Kinashi, K. (1978) The study of forest inventory. 269pp, Noorin Shuppan Co., Ltd., Tokyo.(in Japanese)

    Google Scholar 

  8. Kinashi, K., Chou, M., and Sue, K. (1967) The study of estimating stand volume by measuring aerial photographic concentration (IV): the concentration wave shape and the stand volume. The Trans 78th Ann Meet. Jpn. For. Soc.: 54–56. (in Japanese)

  9. Lillesand, T. M. and Kiefer, R. W. (1994) Remote sensing and image interpretation: Third edition. 200pp, John Wiley & Sons, Inc., New York, Chichester, Brisbane, Toronto, Singapore.

    Google Scholar 

  10. Nishizawa, M., Kinashi, K., Kakihara, M., and Chou, M. (1976) The study of growth model for stand’s simulation(III); The estimation of d.b.h. probability distribution by Weibull parameter. Trans. Jpn. For. Soc. 87:87–88. (in Japanese)

    Google Scholar 

  11. Osumi, S. (1961) On the frequency distribution of d.b.h. in stand. Bull. Kyoto Pref. Univ. For. 5: 9–17. (in Japanese with English summary)

    Google Scholar 

  12. St-Onge, B. A. and Cavayas, F. (1995) Estimating forest stand structure from high resolution imagery using the directional variogram. Int. J. Remote Sens. 11: 1999–2021.

    Article  Google Scholar 

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Correspondence to Hisaaki Kamioka.

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Kamioka, H., Abe, N. Estimating stand structure using digitalized aerial photography. J For Res 4, 75–78 (1999).

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Key words

  • aerial photography
  • DN distribution
  • parameterc
  • stand factor
  • Weibull distribution