Landsat TM imagery and high altitude aerial photographs in estimation of forest characteristics

Silva Fennica Monographs

Volumn 39, Issue 4, 2005, Pages 573-584

  Tuominen, Sakari ^a   Haakana, Markus ^a  

^a FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

High altitude aerial photographs; Image texture; Multi source forest inventory; Satellite imagery

Indexed keywords

IMAGING SYSTEMS; PHOTOGRAPHY; SATELLITES; TEXTURES;

HIGH-ALTITUDE AERIAL PHOTOGRAPHS; IMAGE TEXTURE; MULTI-SOURCE FOREST INVENTORY; SATELLITE IMAGERY;

FORESTRY;

AERIAL PHOTOGRAPH; FOREST INVENTORY; LANDSAT; SATELLITE IMAGERY;

FORESTRY; IMAGE ANALYSIS; PHOTOGRAPHS;

EID: 29844441891     PISSN: 14577356     EISSN: 14577356     Source Type: Book Series    
DOI: None     Document Type: Article

References (31)

1. Altman, N.S. 1992. An introduction to kernel and nearest-neighbor nonparametric regression. The American Statistician 46: 175-185.
2. Cohen, W.B. & Spies, T.A. 1992. Estimating structural attributes of Douglas-fir/western hemlock forest stands from Landsat and SPOT imagery. Remote Sensing of Environment 41: 1-17.
3. Franco-Lopez, H., Ek, A.R. & Bauer, M.E. 2001. Estimation and mapping of forest density, volume and cover type using the k-nearest neighbors method. Remote Sensing of Environment 77: 251-274.
4. Haralick, R. 1979. Statistical and structural approaches to texture. Proc. IEEE 67(5): 786-804.
5. Haralick, R.M., Shanmugan, K. & Dinstein, I. 1973. Textural features for image classification. IEEE Transactions on Systems, Man and Cybernetics 3(6): 610-621.
6. Holopainen, M. & Wang, G. 1998. The calibration of digitized aerial photographs for forest stratification. International Journal of Remote Sensing 19(4): 677-696.
7. Hyppänen, H. 1996. Spatial autocorrelation and optimal spatial resolution of optical remote sensing data in boreal forest environment. International Journal of Remote Sensing 17(17): 3441-3452.
8. Jackson, R.D., Teillet, P.M., Slater, P.N., Fedosejevs, G., Jasinski, M.F., Aase, J.K. & Moran, M.S. 1990. Bidirectional measurements of surface reflectance for view angle corrections of oblique imagery. Remote Sensing of Environment 32: 189-202.
9. Kilkki, P. & Päivinen, R. 1987. Reference sample plots to combine field measurements and satellite data in forest inventory. Department of Forest Mensuration and Management, University of Helsinki, Research Notes 19: 210-215.
10. King, D. 1991. Determination and reduction of cover type brightness variations with view angle in airborne multispectral video imagery. Photogrammetric Engineering and Remote Sensing 57: 1571-1577.
11. Leblanc, S.G., Bicheron, P., Chen, J.M., Leroy, M. & Cihlar, J. 1999. Investigation of directional reflectance in boreal forests with an improved four-scale model and airborne POLDER data. IEEE Transactions on Geoscience and Remote Sensing 37: 1396-1414.
12. Levesque, J. & King, D. 2003. Spatial analysis of radiometric fractions from high-resolution multispectral imagery for modelling individual tree crown and forest canopy structure and health. Remote Sensing of Environment 84: 589-602.
13. Li, X. & Strahler, A.H. 1992. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing. IEEE Transactions on Geoscience and Remote Sensing 30: 276-292.
14. Lillesand, T. & Kiefer, R. 1994. Remote sensing and image interpretation. John Wiley & Sons, Inc., New York. 750 p.
15. Mattila, E. 1985. The combined use of systematic field and photo samples in a large-scale forest inventory in North Finland. Communicationes Instituti Forestalis Fenniae 131.
16. Muinonen, E. & Tokola, T. 1990. An application of remote sensing for communal forest inventory. In: Proceedings from SNS/IUFRO workshop in Umeå, 26-28 Feb. 1990. Remote Sensing Laboratory , Swedish University of Agricultural Sciences, Umeå, Report 4. p. 35-42.
17. Narendra, P. & Goldberg, M. 1980. Image segmentation with directed trees. IEEE Transactions on Pattern Analysis and Machine Intelligence 2: 185-191.
18. Nilson, T. & Kuusk, A. 1989. A reflectance model for the homogeneous plant canopy and its inversion. Remote Sensing of Environment 27: 157-167.
19. Pekkarinen, A. 2002. Image segment-based spectral features in the estimation of timber volume. Remote Sensing of Environment 82(2-3): 349-359.
20. - & Tuominen, S. 2003. Stratification of a forest area for multisource forest inventory by means of aerial photographs and image segmentation. In: Corona, P., Köhl, M. & Marchetti, M. (eds.). Advances in forest inventory for sustainable forest management and biodiversity monitoring. Forestry Sciences 76. Kluwer Academic Publishers. p. 111-123.
21. 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. Remote Sensing Reviews 19(1-4): 259-291.
22. Poso, S., & Kujala, M. 1971. Ryhmitetty ilmakuva ja maasto-otanta Inarin, Utsjoen ja Enontekiön metsien inventoinnissa. Summary: Groupwise sampling based on photo and field plots in forest inventory of Inari, Utsjoki and Enontekiö. Folia Forestalia 132.
23. - , Wang, G. & Tuominen, S. 1999. Weighting alternative estimates when using multi-source auxiliary data for forest inventory. Silva Fennica 33(1): 41-50.
24. Pätynen, V. 1998. Digital orthophotos and map revision in national land survey of Finland. In: Fritsch, D., Englich, M. & Sester, M. (eds.). ISPRS Commission IV - GIS between visions and applications.
25. Shang, D. & Waite, M.-L. 1991. Utilization of textural and spectral features from Landsat TM imagery for stratifying forest sample plots. University of Helsinki, Department of Forest Mensuration and Management, Research Notes 26.
26. Tomppo, E. 1990. Satellite image -based National Forest Inventory of Finland. Photogrammetric Journal of Finland 12(1): 115-120.
27. - 1993. Multi-source national forest inventory of Finland. In: Nyyssönen, A., Poso, P. & Rautala, J. (eds.). Proceedings of Ilvessalo Symposium on National Forest Inventories, 17-21 Aug. 1992, Finland. The Finnish Forest Research Institute Research Papers 444: 52-60.
28. Tuominen, S. & Pekkarinen, A. 2004. Local radiometric correction of digital aerial photographs for multi source forest inventory. Remote Sensing of Environment 89: 72-82.
29. - & Pekkarinen, A. 2005. Performance of different spectral and textural aerial photograph features in multi-source forest inventory. Remote Sensing of Environment 94: 256-268.
30. Woodcock, C.E., & Strahler, A.H. 1987. The factor of scale in remote sensing. Remote Sensing of Environment 21: 311-332.
31. Wulder, M.A., LeDrew, E.F., Franklin, S.E. & Lavigne, M.B. 1998. Aerial image texture information in the estimation of northern deciduous and mixed wood forest leaf area index (LAI). Remote Sensing of Environment 64: 64-76.