Segment-level stand inventory for forest management

Scandinavian Journal of Forest Research

Volumn 20, Issue 1, 2005, Pages 75-84

  Hyvönen, Pekka ^a   Pekkarinen, Anssi ^a   Tuominen, Sakari ^a  

^a FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Aerial photograph; Finland; Forest management; GIS; Inventory; Segmentation

Indexed keywords

COMPUTER SIMULATION; IMAGE ANALYSIS; INDUSTRIAL MANAGEMENT; INVENTORY CONTROL; PHOTOGRAPHY; PHOTOINTERPRETATION; STATISTICAL METHODS;

AERIAL PHOTOGRAPHS; CROSS VALIDATION TECHNIQUE; EASTERN FINLAND; SEGMENT-LEVEL INVENTORY;

FORESTRY;

FINLAND; FORESTS; IMAGE ANALYSIS; INVENTORIES; MANAGEMENT; PHOTOGRAPHS; SIMULATION; STATISTICAL ANALYSIS;

EID: 14344265579     PISSN: 02827581     EISSN: None     Source Type: Journal    
DOI: 10.1080/02827580510008220     Document Type: Article

References (36)

1. Altman, N. (1992). Introduction to kernel and nearest-neighbour nonparametric regression. American Statistician, 46, 175-184.
2. Anon. (2002). GISnet MapBox version 1.1. MapLT data format description. MapSplitter user's guide. Helsinki: GISnet Solutions Finland.
3. Anttila, P. (2002). Nonparametric estimation of stand volume using spectral and spatial features of aerial photographs and old inventory data. Canadian Journal of Forest Research, 32, 1849-1857.
4. Franklin, J. (1986). Thematic mapper analysis of coniferous forest structure and composition. International Journal of Remote Sensing, 7, 1287-1301.
5. Hagner, O. (1990). Computer aided forest stand delineation and inventory based on satellite remote sensing. In Proceedings from SNS/IUFRO workshop, The usability of remote sensing for forest inventory and planning, Umeå, 26-28 February 1990. Umeå: Remote Sensing Laboratory, Swedish University of Agricultural Sciences.
6. Hagner, O. (1997). Textur i flygbilder för skattning av beståndsegenskaper. Arbetsrapport 29. Umeå: Sveriges Lantbruksuniversitet. (In Swedish.)
7. Holmgren, J., Joyce, S., Nilsson, M., & Olsson, H. (2000). Estimating stem volume and basal area in forest compartments by combining satellite image data with field data. Scandinavian Journal of Forest Research, 15, 103-111.
8. Holopainen, M. (1992). Digitaalisten väri-infraortokuvien käyttökelpoisuus metsätalouden suunnittelussa ja veroluokituksessa. Helsinki: Department of Forest Resources Management, University of Helsinki. (In Finnish.)
9. Holopainen, M., & Wang, G. (1998). The calibration of digitized aerial photographs for forest stratification. International Journal of Remote Sensing, 19, 677-696.
10. Hujala, T (2003). Digitoitujen väri-infrailmakuvien numeerinen monikuvatulkinta metsän inventoinnissa. Helsinki: Department of Forest Resources Management, University of Helsinki. (In Finnish.)
11. Hynynen, J., Ojansuu, R., Hökkä, H., Siipilehto, J., Salminen, H., & Haapala, P. (2002). Models for predicting stand development in MELA system. Finnish Forest Research Institute, Research Papers 835.
12. Hyyppä, J., Hyyppä, H., Inkinen, M., Engdahl, M., Linko, S., & Zhu, Y. (2000). Accuracy comparison of various remote sensing data sources in the retrieval of forest sand attributes. Forest Ecology Management, 128, 109-120.
13. Kilkki, P., Maltamo, M., Mykkänen, R., & Päivinen, R. (1989). Use of the Weibull function in estimating the basal-area diameter distribution. Silva Fennica, 23, 311-318.
14. King, D. (1991). Determination and reduction of cover type brightness variations with view angle in airborne multi-spectral video imagery. Photogrammetric Engineering and Remote Sensing, 57, 1571-1577.
15. Laasasenaho, J. (1982). Taper curve and volume functions for pine, spruce and birch. Communicationes Instituti Forestalis Fenniae, 108.
16. Laasasenaho, J., & Päivinen, R. (1986). Kuvioittaisen arvioinnin tarkistamisesta. Summary: On the checking of inventory by compartments. Folia Forestalia, 664. (In Finnish with English summary.)
17. Li, X., & Strahler, A. H. (1992). Geometric-optical bidirectional reflectance modelling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing. IEEE Transactions on Geoscience Remote Sensing, 30, 276-292.
18. Lindgren, B. W. (1976). Statistical theory (3rd ed). New York. Macmillan.
19. Mäkelä, H., & Pekkarinen, A. (2001). Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery. Remote Sensing of the Environment, 77, 66-75.
20. Maltamo, M. (1998). Basal area diameter distribution in estimating the quantity and structure of growing stock. Joensuu: Faculty of Forestry, University of Joensuu.
21. Maltamo, M., Haara, A., Hirvelä, H., Kangas, A., Lempinen, R., Malinen, J., et al. (2002). MELA2002 ja kuvauspuiden muodostamisen vaihtoehdot. In T. Nuutinen, & A. Kiiskinen (Eds.), MELA 2002 ja käyttöpuun kuvaus. MELA-käyttäjäpäivä, 7 May 2002 Joensuu. Finnish Forest Research Institute, Research Papers 865, 11 31. (In Finnish.)
22. Muinonen, E., Maltamo, M., Hyppänen, H., & Vainikainen, V. (2001). Forest stand characteristics estimation using a most similar neighbor approach and image spatial structure information. Remote Sensing of the Environment, 78, 223-228.
23. Narendra, P., & Goldberg, M. (1980). Image segmentation with directed trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2, 185-191.
24. Nilson, T., & Kuusk, A. (1989). A reflectance model for the homogeneous plant canopy and its inversion. Remote Sensing of the Environment, 27, 157-167.
25. Nilson, T., & Peterson, U. (1994). Age dependence of forest reflectance: Analysis of main driving factors. Remote Sensing of the Environment, 48, 319-331.
26. Pekkarinen, A. (2002a). A method for the segmentation of very high resolution images for forested landscapes. International Journal of Remote Sensing, 23, 2817-2836.
27. Pekkarinen, A. (2002b). Image segment-based spectral features in the estimation of timber volume. Remote Sensing of the Environment, 82, 349-359.
28. Pekkarinen, A., & Tuominen, S. (1989). Stratification of a forest area for multisource forest inventory by means of aerial photographs and image segmentation. In P. Corona, M. Köhl, & M. Marchetti (Eds.), Advances in forest inventory for sustainable forest management and biodiversity monitoring (pp. 111-123). Dordrecht, Netherlands: Kluwer Academic Publishers.
29. Pellikka, P., King, D. J., & Leblanc, S. G. (2000). Quantification and reduction of bidirectional effects in aerial CIR imagery of deciduous forest using two reference land surface types. Special Issue: Multi-angle Measurements and Models. Remote Sensing Reviews, 19, 259-291.
30. Poso, S. (1983). Basic features of forest inventory by compartments. Silva Fennica, 17, 313-349. (In Finnish with English summary.)
31. Redsven, V., Anola-Pukkila, A., Haara, A., Hirvelä, H., Härkönen, K., Kettunen, L., et al. (2002). MELA2002 reference manual. Joensuu: Finnish Forest Research Institute.
32. Tokola, T., Pitkänen, J., Partinen, S., & Muinonen, E. (1996). Point accuracy of a non-parametric method in estimation of forest characteristics with different satellite materials. International Journal of Remote Sensing, 17, 2333-2351.
33. Trotter, C. M., Dymond, J. R., & Coulding, C. J. (1997). Estimation of timber volume in a coniferous plantation forest using Landsat TM. International Journal of Remote Sensing, 18, 2209-2223.
34. Torttila, J. (2002). MetGis tekninen kuvaus. Maastotiedonkeruu. (In Finnish.)
35. Tuominen, S., & Pekkarinen, A. (2004). Local radiometric correction of digital aerial photographs for multi source forest inventory. Remote Sensing of the Environment, 89, 72-82.
36. Tuominen, S., Fish, S., & Poso, S. (2003). Combining remote sensing, data from earlier inventories, and geostatistical interpolation in multisource forest inventory. Canadian Journal of Forest Research, 33, 624-634.