Determination of the spatial distribution of trees from digital aerial photographs

Forest Ecology and Management

Volumn 110, Issue 1-3, 1998, Pages 275-282

  Uuttera, Janne ^a   Haara, Arto ^a   Tokola, Timo ^a   Maltamo, Matti ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Aerial image; Digital image analysis; Spatial pattern; Stand structure

Indexed keywords

AERIAL PHOTOGRAPHY; DIGITAL IMAGE; MAPPING; SPATIAL DISTRIBUTION; TREE;

FINLAND;

EID: 0032487469     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-1127(98)00292-8     Document Type: Article

References (32)

1. Arthur, M.C., 1997. Determination of the radii and co-ordinates of centres of trees from aerial photographs of forests. M.Sc. Thesis, Department of Mathematics, University of Joensuu.
2. Blackburn G.A., Milton E.J. An ecological survey of deciduous woodlands using airborne remote sensing and geographical information systems (GIS). Int. J. Remote Sensing. 18(9):1997;1919-1935.
3. Buongiorno J., Dahr S., Lu H.-C., Liu C.R. Tree size diversity and economic returns in uneven-aged forest stands. For. Sci. 40(1):1994;83-103.
4. Dralle K., Rudemo M. Stem number estimation by kernel smoothing of aerial photos. Can. J. For. Res. 26:1996;1228-1236.
5. Dralle, K., Rudemo, M., 1997. Automatic estimation of individual tree positions from aerial photos. Can. J. For. Res., in press.
6. Greer J.D. The view from above. J. Forestry. 8:1993;10-14.
7. Holmgren P., Thuresson T., Holm S. Estimating forest characteristics in scanned aerial photographs with respect to requirements for economic forest management planning. Scand. J. For. Res. 12:1997;189-199.
8. Holopainen, M., Lukkarinen, E., 1994. Digitaalisten ilmakuvien käyttö metsävarojen inventoinnissa. Summary: Digital aerial photographs in forest inventory. Department of Forest Resource Management Publications, University of Helsinki, vol. 4, pp. 1-33.
9. Huston, M.A., 1994. Biological Diversity. The Coexistence of Species on Changing Landscapes. Cambridge University Press, Cambridge, 681 pp.
10. Hyppänen H. Spatial autocorrelation and optimal spatial resolution of optical remote sensing data in boreal forest environment. Int. J. Remote Sensing. 17(17):1996;3441-3452.
11. Ilvessalo Y. On the correlation between the crown diameter and the stem of trees. Commun. Inst. Forest. Fenniae. 38(2):1950;1-26.
12. Kelle, O., 1997. Medregro - Semiautomatic image processing software package. Department of Mathematics, University of Joensuu, 15 pp.
13. Leckie D.G. Advances in remote sensing technologies for forest surveys and management. Can. J. For. Res. 20:1990;464-483.
14. McGarigal, K., Marks, B.J., 1993. Fragstats: spatial pattern analysis program for quantifying landscape structure. Version 1.0., 65 pp.
15. Muinonen, E., 1995. Metsikön heijastussuhteen ennustaminen geometrisella latvustomallilla. Lic. (For.) Thesis, University of Joensuu, Joensuu, Finland.
16. Niblack, W., 1985. An Introduction to Digital Image Processing. Prentice-Hall International, London, 215 pp.
17. Ojansuu, R., Hynynen, J., Koivunen, J., Luoma, P., 1991. Luonnonprosessit metsälaskelmassa (MELA) - METS? 2000 -versio. Metsäntutkimuslaitoksen tiedonantoja 385. The Finnish Forest Research Institute, Research papers, No. 358, 59 pp.
18. Packham, J.R., Harding, D.J.L., Hilton, G.M., Stuttard, R.A., 1992. Functional Ecology of Woodlands and Forests. Chapman and Hall, London, 407 pp.
19. Poso S., Häme T., Paananen R. A method of estimating the stand characteristics of a forest compartment using satellite imagery. Silva Fennica. 18(3):1984;261-292.
20. Pukkala T. Puuston ryhmittäisyys mukaan metsätalouden suunnitteluun. Metsä ja Puu. 6:1988;30-31.
21. Pukkala T. A method for incorporating the within-stand variation into forest management planning. Scand. J. For. Res. 5:1990;263-275.
22. Ripley B.D. Tests of 'randomness' for spatial point patterns. J. Roy. Statist. Soc. 41:1979;368-374.
23. Ripley, B.D., 1982. Edge effects in spatial stochastic processes. In: Ranneby, B. (Ed.). Statistics in Theory and Practice. Essays in Honour of Bertil Mátern. Swedish University of Agricultural Sciences, Umeå, pp. 242-262.
24. Rouvinen, S., Kuuluvainen, T., Järvinen, E., Hassinen, A., Hokkanen, T., 1997. Spatiaalisen metsikkötiedon mittaus takymetrilla ja MEKRI-ohjelmalla. Faculty of Forestry, University of Joensuu, Research Notes, 56, 32 pp.
25. Siitonen, M., 1983. A long term forestry planning system based on data from the Finnish national forest inventory. In: Forest Inventory for Improved Management, Helsingin yliopiston metsänarvioimistieteen tiedonantoja, vol. 17, pp. 95-207.
26. SPSS-X User's Quide, 1988. 3rd Ed. SPSS Inc., 1072 pp.
27. Syrén, P., 1991. Forest canopy reflectance as a function of solar elevation and forest parameters. 11th Ann. Int. Geoscience and Remote Sensing Symp. IGARSS'91, Espoo, Finland, 3-6 June 1991, pp. 1537-1540.
28. Tokola T., Pitkänen J., Partinen S., Muinonen E. Point Accuracy of a non-parametric method in estimation of forest characteristics with different satellite materials. Int. J. Remote Sensing. 17(12):1996;2333-2351.
29. Tomppo, E., 1986. Models and methods for analysing spatial pattern of trees. Seloste: Malleja ja menetelmiä puiden tilajärjestyksen analysoimiseksi. Communicationes Instituti Forestalis Fenniae, vol. 138, 65 pp.
30. UNEP, 1995. Global Biodiversity Assessment. Cambridge University Press, Cambridge, 1140 pp.
31. Uuttera, J., 1992. Tilajärjestyksen käyttö ensiharvennuksen jälkeisen pohjapinta-alan ennustamisessa. M.Sc. Thesis, University of Joensuu, Joensuu, Finland.
32. Uuttera J., Maltamo M., Hotanen J.-P. Stand structure of undrained and drained peatland forests in central Finland. Suo. 47(4):1996;125-135.