Multi-layer forest stand discrimination with spatial co-occurrence texture analysis of high spatial detail airborne imagery

Geocarto International

Volumn 17, Issue 4, 2002, Pages 55-68

  Moskal, L M ^a   Franklin, S E ^b  

^a UNIVERSITY OF KANSAS   (United States)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85024597846     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106040208542254     Document Type: Article

References (47)

1. Ahearn, S. C., 1988. Combining Laplacian images of different spatial frequencies (scales):implications for remote sensing analysis. IEEE Transactions on Geoscience and Remote Sensing, 26:826–831.
2. Anger, C. D., Airborne hyperspectral remote sensing in the future?. Proceedings, Fourth International Symposium on Airborne Remote Sensing and 21st Canadian Symposium on Remote Sensing. Vol. I, pp. 1–5. Ottawa, Canada:Canadian Aeronautics and Space Institute.
3. Archibald, J. H., Klappstein, G. D., and Corns, I. G. W., 1996. Field Guide to Ecosites of Southwestern Alberta, Edmonton, Alberta:Canadian Forest Service, Northern Forestry Center. Special Report No. 8
4. Avery, T. E., 1978. Forester's Guide to Aerial Photo Interpretation, USDA Forest Service. Agriculture Handbook No. 308
5. Bauer, M. E., Burk, T. E., Ek, A. R., Coppin, P. R., Lime, S. D., Walsh, T. A., Walters, D. K., Befort, W., and Heinzen, D. F., 1994. Satellite inventory of Minnesota forest resources. Photogrammetric Engineering and Remote Sensing, 60:287–298.
6. Bruniquel-Pinel, V., and Gastellu-Etchegorry, J. P., 1998. Sensitivity of high resolution images of forest to biophysical and acquisition parameters. Remote Sensing of Environment, 65:61–85.
7. Carr, J. R., and de Miranda, F. Pellon. 1998. The semivariogram in comparison to the co-occurrence matrix for classification of image texture. IEEE Transactions on Geoscience and Remote Sensing, 36:1945–1952.
8. Caylor, J., 2000. Aerial photography in the next decade. Journal of Forestry, 98:17–19.
9. Cohen, J., 1960. A coefficient of agreement for nominal scales. Education and Psychology Measurement, 20:37–46.
10. Cole, W. G., 1995. Hardwood tree crown measurement guide, Sault Ste. Marie, Ontario:Ontario Forest Research Institute.
11. Congalton, R. G., Green, K., and Teply, J., 1993. Mapping old growth forests on National Forest and Park Lands in the Pacific Northwest from remotely sensed data. Photogrammetric Engineering and Remote Sensing, 59:529–535.
12. Felix, N. A., and Binney, D. L., 1989. Accuracy Assessment of a Landsat-assisted Vegetation Map of the Costal Plain of the Arctic National Wildlife Refuge. Photogrammetric Engineering and Remote Sensing, 55:475–478.
13. Fournier, R. A., Edwards, G. E., and Eldridge, N. R., 1995. A catalogue of potential spatial discriminators for high spatial resolution digital images of individual tree crowns. Canadian Journal of Remote Sensing, 21:285–298.
14. Franklin, S. E., 1994. Discrimination of subalpine forest species and canopy density using casi, SPOT PLA, and Landsat TM data. Photogrammetric Engineering and Remote Sensing, 60:1233–1241.
15. Franklin, S. E., and McDermid, G. J., 1993. Empirical relations between digital SPOT HRV and casi spectral response and lodgepole pine (Pinus contorta) forest stand parameters. International Journal of Remote Sensing, 14:2331–2348.
16. Franklin, S. E., Hall, R. J., Moskal, L. M., Maudie, A. J., and Lavigne, M. B., 2000. Incorporating texture into classification of forest species composition from airborne multispectral images. International Journal of Remote Sensing, 21:61–79.
17. Franklin, S. E., Lavigne, M. B., Hansen, M. J., Wulder, M. A., and Hunt, E. R., Jr. 1997. Landsat TM-derived forest covertypes for use in ecosystem models of net primary production. Canadian Journal of Remote Sensing, 23:91–99.
18. Franklin, S. E., and Peddle, D. R., 1987. Texture analysis of digital image data using spatial co-occurrence. Computers & Geosciences, 13:293–311.
19. Franklin, S. E., Wulder, M. A., and Lavigne, M. B., 1996. Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis. Computers & Geosciences, 22:665–673.
20. Frazer, G., Lertzman, K., and Trofymow, J. A., 1998. “ Developmental Trends of Canopy Structure in Coastal Forests of British Columbia ”. In Workshop on Structure, Process, and Diversity in Successional Forests of Coastal British Columbia, Victoria:Canadian Forest Service, Pacific Forestry Center.
21. Green, K., 2000. Selecting and interpreting high-resolution images. Journal of Forestry, 98:37–39.
22. Haralick, R. M., 1986. “ Statistical image texture analysis ”. In Handbook of Pattern Recognition and Image Processing, Edited by:Young, T. Y., and Fu, K. S., 247–279. NY:Academic Press.
23. Haralick, R. M., 1979. Statistical and structural approaches to texture. Proceedings of the IEEE, 65:786–804.
24. Haralick, R. M., Shanmugam, K., and Dinstein, I., 1973. Texture features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, 3:610–621.
25. Hay, G. J., and Niemann, K. O., 1994. Visualizing 3-D Texture:A Three-Dimensional Structural Approach to Model Forest Texture. Canadian Journal of Remote Sensing, 20:90–101.
26. Hay, G. J., Niemann, K. O., and McLean, G. F., 1996. An Object-Specific Image-Texture Analysis of H-Resolution Forest Imagery. Remote Sensing of the Environment, 55:108–122.
27. Hodgson, M. E., 1998. What Size Window for Image Classification? A Cognitive Perspective. Photogrammetric Engineering and Remote Sensing, 64:797–807.
28. Jensen, J. R., 1996. Introductory Digital Image Processing. A Remote Sensing Perspective, Upper Saddle River, N.J.:Simon & Schuster.
29. King, D., 1995. Airborne Multispectral Digital Camera and Video Sensors:A Critical Review of System Designs and Applications. Canadian Journal of Remote Sensing, 21:245–273.
30. Kirby, C. L., 1973. The Kananaskis Forest Experiment Station, Alberta History, Physical Features, and Forest Inventory, Edmonton, Alberta:Canadian Forest Service, Northern Research Center.
31. Klecka, W. R., 1982. Discriminant Analysis, London, England:Sage University Paper.
32. Lark, R. M., 1996. Geostatical description of texture on an aerial photograph for discriminating classes of land cover. International Journal of Remote Sensing, 17:2115–2133.
33. Leckie, D. G., Beaubien, J., Gibson, J. R., O'Neil, N. T., Piekutowski, T., and Joyce, S. P., 1995. Data processing and analysis for MIFUCAM:a trial of MEIS imagery for forest inventory mapping. Canadian Journal of Remote Sensing, 21:337–356.
34. Luckai, F., 1997. Forest measurements field manual, Thunder Bay, Ontario:Lakehead University Faculty of Forestry.
35. Mah, S., Anger, C. D., Babey, S. K., Trudeau, D., Loch, C., and Renuncio, L., “An Airborne Multispectral Imaging Spectrograph for Versatile Environmental Remote Sensing Applications”. XVII Congresso Brasileiro de Cartografia. Salvador, Bahia, Brazil.
36. Marceau, D. J., Howarth, P. J., Dubois, J. M.M., and Gratton, D. J., 1990. Evaluation of the gray-level co-occurrence matrix method for land-cover classification using SPOT imagery. IEEE Transactions on Geoscience and Remote Sensing, 28:513–518.
37. Milton, E. J., Rollin, E. M., and Emery, D. R., 1995. “ Advances in field spectroscopy ”. In Advances in Environmental Remote Sensing, Edited by:Danson, F. M., and Plummer, S. E., 9–32. London:Wiley.
38. Nesby, R., 1997. Alberta Vegetation Inventory Standards, Version 2.2, Edmonton:Alberta Environmental Protection, Resource Information Branch.
39. PCI. 1997. PCI Reference Manual, Ontario, Canada:Richmond Hill.
40. Roberts, A., 1995. Integrated MSV airborne remote sensing. Canadian Journal of Remote Sensing, 21:214–224.
41. St-Onge, B. A., and Cavayas, F., 1995. Estimating forest stand structure from high resolution imagery using the directional variogram. International Journal of Remote Sensing, 16:1999–2021.
42. St-Onge, B. A., and Cavayas, F., 1997. Automated forest structure from high resolution imagery based on directional semivariogram estimates. Remote Sensing of Environment, 61:82–95.
43. Tabachnick, B. G., and Fidell, L. S., 1996. Using Multivariate Statistics, Harper Collins College Publishers.
44. Thomasson, J. A., Bennett, C. W., Jackson, B. D., and Mailander, M. P., 1994. Differentiating bottomland tree species with multispectral videography. Photogrammetric Engineering and Remote Sensing, 60:55–59.
45. Wilson, B. A., 1996. Estimating coniferous forest structure using SAR texture and tone. Canadian Journal of Remote Sensing, 22:382–389.
46. Wolter, P. T., Mladenoff, D. J., Host, G. E., and Crow, T. R., 1995. Improved forest classification in the northern Lake States using multitemporal Landsat imagery. Photogrammetric Engineering and Remote Sensing, 61:1129–1143.
47. Wulder, M. A., LeDrew, E. F., Franklin, S. E., and Lavigne, M. B., 1998. Aerial image texture information in the estimation of deciduous and mixedwood forest leaf area index (LAI). Remote Sensing of Environment, 64:64–76.