Comparison of airborne and satellite high spatial resolution data for the identification of individual trees with local maxima filtering

International Journal of Remote Sensing

Volumn 25, Issue 11, 2004, Pages 2225-2232

  Wulder, M A ^a   White, J C ^a   Niemann, K O ^b   Nelson, T ^c  

^a PACIFIC FORESTRY CENTRE   (Canada)

^b UNIVERSITY OF VICTORIA   (Canada)

^c WILFRID LAURIER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; IMAGE RESOLUTION; OPTICAL TESTING; REMOTE SENSING; SATELLITE IMAGERY;

ELECTRO-OPTICAL IMAGING; FORESTRY APPLICATIONS; HIGH SPATIAL RESOLUTION; HIGH SPATIAL RESOLUTION IMAGERY; IDENTIFICATION OF INDIVIDUALS; REMOTE SENSING SATELLITES; REMOTELY SENSED DATA; SPATIAL RESOLUTION;

FORESTRY;

EID: 77955227542     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160310001659252     Document Type: Article

References (21)

1. APLIN, P., ATKINSON, P., and CURRAN, P., 1997, Fine spatial resolution satellite sensors for the next decade. International Journal of Remote Sensing, 18, 3873-3881.
2. COHEN, W. B., SPIES, T. A., and BRADSHAW, G. A., 1990, Semivariograms of digital imagery for analysis of conifer canopy structure. Remote Sensing of Environment, 34, 167-178.
3. CULVENOR, D. S., 2002, TIDA: an algorithm for the delineation of tree crowns in high spatial resolution imagery. Computers and Geosciences, 28, 33-44.
4. CULVENOR, D. S., 2003, Extracting individual tree information: a survey of techniques for high spatial resolution imagery. In Remote Sensing of Forest Environments: Concepts and Case Studies, edited by M. A. Wulder and S. E. Franklin (Boston: Kluwer Academic), pp.255-277.
5. DRALLE, K., and RUDEMO, M., 1997, Stem number estimation by kernal smoothing aerial photos. Canadian Journal of Forest Research, 26, 1228-1236.
6. GOUGEON, F. A., 1995, A crown following approach to the automatic delineation of individual tree crowns in high spatial resolution digital images. Canadian Journal of Remote Sensing, 26, 274-284.
7. HUANG, C., TOWNSHEND, J. R. G., LIANG, S., KALLURI, S. N. V., and DEFRIES, R. S., 2002, Impact of sensor's point spread function on land cover characterization: assessment and deconvolution. Remote Sensing of Environment, 80, 203-212.
8. LARSEN, M., and RUDEMO, M., 1998, Optimising templates for finding trees in aerial photographs. Pattern Recognition Letters, 19, 1153-1162.
9. LECKIE, D. G., GOUGEON, F. A., WALSWORTH, N., and PARADINE, D., 2003, Stand delineation and composition estimation using semi-automated individual tree crown analysis. Remote Sensing of Environment, 85, 355-369.
10. LEVESQUE, J., and KING, D. J., 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.
11. LOWELL, K., 1998, Evaluation of a moving-window algorithm for detecting individual tree stems from scanned aerial photographs in Victoria's eucalyptus forests. Australian Forestry, 61, 226-234.
12. MAILLY, D., TURBIS, S., POTHIER, D., LEMAY, V. M., and MARSHALL, P. L., 2003, Predicting basal area increment in a spatially explicit individual tree model: a test of competition measures with black spruce. Canadian Journal of Forest Research, 31, 435-443.
13. NELSON, T., NIEMANN, K. O., and WULDER, M. A., 2002, Spatial statistical techniques for aggregating point objects extracted from high spatial resolution remotely sensed imagery. Journal of Geographical Systems, 4, 423-433.
14. PITKANEN, J., 2001, Individual tree detection in digital aerial images by combining locally adaptive binarization and local maxima methods. Canadian Journal of Forest Research, 31, 832-844.
15. POULIOT, D. A., KING, D. J., BELL, F. W., and PITT, D. G., 2002, Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration. Remote Sensing of Environment, 82, 322-334.
16. ROBERTS, S. D., DEAN, T. J., and EVANS, D. L., 2003, Family influences on leaf area estimates derived from crown and tree dimensions in Pinus taeda. Forest Ecology and Management, 172, 261-270.
17. ROUX, X. LE, LACOINTE, A., ESCOBAR-GUTIERREZ, A., and DIZES, A., S. LE, 2001, Carbon based models of individual tree growth: a critical approach. Annals of Forest Science, 58,469-506.
18. SCHOWENGERDT, R., 1997, Remote Sensing: Models and Methods for Image Processing (San Diego: Academic Press).
19. SUMBERA, S., 2001, Extended methods of automatic process of multispectral airborne images of forest stands. Journal of Forest Science, 47, 492-504.
20. WULDER, M., NIEMANN, K. O., and GOODENOUGH, D. G., 2000, Local maximum filtering for the extraction of tree locations and basal area from high spatial resolution imagery. Remote Sensing of Environment, 73, 103-114.
21. WULDER, M., NIEMANN, K. O., and GOODENOUGH, D. G., 2002, Error reduction methods for local maximum filtering of high spatial resolution imagery for locating trees. Canadian Journal of Remote Sensing, 28, 621-628.