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Using digital image projections to visualize forest landscape changes due to management activities and forest growth

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Abstract

A pedagogic problem in forestry and landscape management is to visualize future landscape effects of forest growth and current management activities in the forest. This paper presents a method for forecasting digital image projections of forest landscape dynamics. Static nonlinear regression functions estimate the digital numbers in a Landsat Thematic Mapper image. Regressors used are forest stand variables. By estimating the future forest stand data, based on intermediate treatment and growth, future satellite digital images are created. In a case study example, the future landscape of a forest block in the province of Västernorrland, Sweden, is projected to demonstrate the application of this visualization technique.

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Literature Cited

  • Barrett, E. C., and Curtis, L. F. 1992. Introduction to environmental remote sensing, 3rd ed. Chapman & Hall, London, pp. 83–85.

    Google Scholar 

  • Bengtsson, G. 1981. Beräkning av den naturliga avgången ur virkesförrådet i Hugin-systemet. Stencil, 7 pp (in Swedish).

  • Boyce, S. G., and W. H. McNab. 1994. Management of forest landscapes: Simulations of three alternatives. Journal of Forestry 92(1):27–32.

    Google Scholar 

  • Eliasson, A. 1991. Integration of satellite remote sensing in a forestry oriented GIS. Scandinavian Journal of Forest Research 6:413–423.

    Article  Google Scholar 

  • Häme, T. 1991. Spectral interpretation of changes in forest using satellite scanner images. Acta Forestalia Fennica 222:111 pp.

    Google Scholar 

  • Hansson, L., and P. Angelstam. 1991. Landscape ecology as a theoretical basis for nature conservation. Landscape Ecology 5(4):191–201.

    Article  Google Scholar 

  • Heasley, J. E. 1991. INFORMS—The integrated forest resource management system. Invited paper, GIS conference. US Forest Service, Pacific Northwest Region, Tacoma, Washington.

    Google Scholar 

  • Jacobsson, J. 1986. Optimization and data requirement. A forest management planning problem. Swedish University of Agricultural Sciences, Section of Forest Mensuration and management, Umeå. Dissertation, 143 pp.

  • Jonsson, B. 1980. Functions for long term forecasting of the size and structure of timber yields. Swedish University of Agricultural Sciences, Section of Forest Mensuration and Management, Report 7, 121 pp.

  • Jonsson, B., Jacobsson, J., and Kallur, H. 1993. The forest management planning package. Theory and application. Studia Forestalia Suecica No. 189:56 pp.

    Google Scholar 

  • Li, C. 1988. Mathematical models in forest management planning, An integrated study of calibration, prediction and optimal decision models. Report 18. Department of Biometry and Forest Management, Swedish University of Agricultural Sciences, Umeå, pp. 93–154.

    Google Scholar 

  • Olsson, H. 1994. Changes in satellite measured reflectances caused by thinning cuttings in boreal forest. In Monitoring of local reflectance changes in boreal forests using satellite data. Report No. 7. Remote Sensing Laboratory, Swedish University of Agricultural Sciences, Umeå, p. 17.

    Google Scholar 

  • Peterson, U., and T. Nilsson. 1993. Successional reflectance trajectories in northern temperate forests, International Journal of Remote Sensing 14:609–613.

    Article  Google Scholar 

  • Söderberg, U. 1986. Functions for forecasting of timber yields—increment and form height for individual trees of native species in Sweden. Swedish University of Agricultural Sciences, Section of Forest Mensuration and Management. Report 14, 251 pp.

  • Vinogradov, B. V. 1988. Aerospace monitoring of ecosystem dynamics and ecological prognoses. Photogrammetria 43: 1–16.

    Article  Google Scholar 

  • Weisberg, S. 1985. Applied linear regression, 2nd ed. John Wiley & Sons, New York, pp. 109–112, 215–221.

    Google Scholar 

  • Zuuring, H. R. 1992. New tools to meet new perspectives. Western Wildlands 17(4):34–38.

    Google Scholar 

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Thuresson, T., Näsholm, B., Holm, S. et al. Using digital image projections to visualize forest landscape changes due to management activities and forest growth. Environmental Management 20, 35–40 (1996). https://doi.org/10.1007/PL00006700

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