Discrepancy or error in forest type classification

Australian Forestry

Volumn 61, Issue 2, 1998, Pages 82-88

  Delaney, J L ^a   Skidmore, A K ^b  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CONFUSION MATRIX; DISCREPANCY OR ERROR IN FOREST TYPES METHODOLOGY; FOREST TYPES; KAPPA STATISTICS; TOPOGRAPHY;

CLASSIFICATION (OF INFORMATION); COMPUTER SOFTWARE; ERROR ANALYSIS; GEOLOGY; LOGGING (FORESTRY); MANAGEMENT; MATRIX ALGEBRA; PHOTOMAPPING; RESEARCH; STATISTICS; VEGETATION;

FORESTRY;

EID: 0032300573     PISSN: 00049158     EISSN: None     Source Type: Journal    
DOI: 10.1080/00049158.1998.10674724     Document Type: Article

References (17)

1. 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 3:287-298.
2. Baur G.N. (1989). Forest Types in New South Wales. Forestry Commission of New South Wales Research Note Number 17. Forestry Commission of New South Wales, Sydney.
3. Binns, D. and Kavanagh, R.P. (1990). Flora and Fauna Survey, Nullica State Forest (Part), Eden District, Eden Region. Forestry Commission of New South Wales, Sydney.
4. Bishop, Y.M., Fienburg, S.E. and Holland, P.W. (1975). Discrete Multivariate Analysis: Theory and Practice. MIT Press, Cambridge.
5. Bridges, R.G. and Dobbyns, G.R. (1991). The Dry Sclerophyll Silvertop Ash-Stringybark Forests of South-Eastern New South Wales. In Forest Management in Australia. (F.H. McKinnell, E.R. Hopkins, and J.E.D. Fox, eds.) Surrey Beatty & Sons Pty. Ltd., Western Australia.
6. Campbell, J.B. (1996). Introduction to Remote Sensing (2nd Edition). The Guilford Press, USA.
7. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20:37-46.
8. Congalton, R.G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35-46.
9. Congalton, R.G. and Green, K. (1993). A practical look at the sources of confusion in error matrix generation. Photogrammetric Engineering and Remote Sensing 59 5:641-644.
10. Fergusson, C.L., Cas, R.A.F., Collins, W.J., Craig, G.Y., Crook, K.A.W., Powell, C.McA., Scott, P.A. and Young, G.C. (1979). The Upper Devonian Boyd Volcanic Complex, Eden, New South Wales. Journal of Geographical Society of Australia 26:87-105.
11. Fitzgerald, R.W. and Lees, B.G. (1994). Assessing the classification accuracy of multisource remote sensing data. Remote Sensing of the Environment. 47 3:362-368.
12. Forestry Commission of New South Wales (1982). Eden Native Forest Management Plan. Forestry Commission of New South Wales, Sydney.
13. Imhoff, M.L., Vermillion, C., Story, M.H., Choudhury, A.M., Gafoor, A. and Polcyn, F. (1987). Monsoon flood boundary delineation and damage assessment using space borne imaging radar and landsat data. Photogrammetric Engineering and Remote Sensing 53 4:405-413.
14. Keith, D.A. and Sanders, J.M. (1990). Vegetation of the Eden Region, South East Australia: species diversity and structure. Journal of Vegetation Science 1:203-232.
15. Leps, J. and Hadincova, V. (1992). How reliable are our vegetation analyses? Journal ofVegetation Science 3:119 124.
16. Lillisand, T.M. and Kiefer, R.W. (1987). Remote Sensing and Image Interpretation (2nd Edition). John Wiley & Sons, USA.
17. Nilsson, C. (1992). Increasing the reliability of vegetation analyses by using a team of two investigators. Journal of Vegetation Science 3:565.