Automated tree crown detection and size estimation using multi-scale analysis of high-resolution satellite imagery

Remote Sensing Letters

Volumn 4, Issue 5, 2013, Pages 465-474

  Skurikhin, Alexei N ^a   Garrity, Steven R ^a   McDowell, Nate G ^a   Cai, Dongming M ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE METHODS; CROWN DIAMETER; FOREST SITES; FOREST TYPE; GAUSSIAN SCALE SPACE; HIGH RESOLUTION SATELLITE IMAGERY; HIGH SPATIAL RESOLUTION SATELLITE IMAGERY; IMAGE CAPTURES; INDIVIDUAL TREE; INDIVIDUAL TREE CROWN; LARGE SHIFTS; LINEAR SCALE-SPACE THEORY; LOCAL EXTREMUM; MULTI SCALE ANALYSIS; MULTI-SCALE APPROACHES; QUICKBIRD IMAGES; SIZE ESTIMATION; TREE CROWNS; TREE DENSITY;

ESTIMATION; SATELLITE IMAGERY;

FORESTRY;

ACCURACY ASSESSMENT; CANOPY ARCHITECTURE; GAUSSIAN METHOD; IMAGE RESOLUTION; LAPLACE TRANSFORM; QUICKBIRD; SATELLITE IMAGERY; SPATIAL RESOLUTION; TREE;

IMAGE ANALYSIS; REMOTE SENSING; SATELLITES;

EID: 84873666030     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2012.749361     Document Type: Article

References (43)

1. AMOROS-LOPEZ, J., IZQUIERDO-VERDIGUIER, E., GOMEZ-CHOVA, L., MUNOZ-MARI, J., RODRIGUEZ-BARREIRO, J.Z., CAMPS-VALLS, G. and CALPE-MARAVILLA, J., 2011, Land cover classification of VHR airborne images for citrus grove identification. ISPRS Journal of Photogrammetry and Remote Sensing, 66, pp. 115-123.
2. BRANDBERG, T. and WALTER, F., 1998, Automated delineation of individual tree crowns in high spatial resolution aerial images by multi-scale analysis. Machine Vision Applications, 11, pp. 64-73.
3. BRESHEARS, D.D., MYERS, O.B., MEYER, C.W., BARNES, F.J., ZOU, C.B., ALLEN, C.D., MCDOWELL, N.G. and POCKMAN, W.T., 2009, Tree die-off in response to global changetype drought: mortality insights from a decade of plant water potential measurements. Frontiers in Ecology and the Environment, 7, pp. 185-189.
4. DALIAKOPOULOS, I.N., GRILAKIS, E.G., KOUTROULIS, A.G. and TSANIS, I.K., 2009, Tree crown detection on multispectral VHR satellite imagery. Photogrammetic Engineering and Remote Sensing, 75, pp. 1201-1211.
5. FALKOWSKI, M.J., SMITH, A.M.S., GESSLER, P.E., HUDAK, A.T., VIERLING, L.A. and EVANS, J.S., 2008, The influence of conifer forest canopy cover on the accuracy of two individual tree measurement algorithms using lidar data. Canadian Journal of Remote Sensing, 34, pp. S338-S350.
6. FOODY, G.M., 2003, Remote sensing of tropical forest environments: towards the monitoring of environmental resources for sustainable development. International Journal of Remote Sensing, 20, pp. 4035-4046.
7. GARRITY, S.R., ALLEN, C.D., BRUMBY, S.P., GANGODAGAMAGE, C., MCDOWELL, N.G. and CAI, D.M., 2013, Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery. Remote Sensing of Environment, 129, pp. 54-65. doi.org/10.1016/j.rse.2012.10.029.
8. GARRITY, S.R., MEYER, K., MAURER, K.D., HARDIMAN, B. and BOHRER, G., 2012, Estimating plot-level tree structure in a deciduous forest by combining allometric equations, spatial wavelet analysis and airborne LiDAR. Remote Sensing Letters, 3, pp. 443-451.
9. GARRITY, S.R., VIERLING, L.A., SMITH, A.M.S., FALKOWSKI, M.J. and HANN, D.B., 2008, Automatic detection of shrub location, crown area, and cover using spatial wavelet analysis and aerial photography. Canadian Journal of Remote Sensing, 34, pp. S376-S384.
10. GEBRESLASIE, M.T., AHMED, F.B., VAN AARDT, J.A. and BLAKEWAY, F., 2011, Individual tree detection based on variable and fixed window size local maxima filtering applied to IKONOS imagery for even-aged Eucalyptus plantation forests. International Journal of Remote Sensing, 32, pp. 4141-4154.
11. GOUGEON, F.A., 1995, A crown following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images. Canadian Journal of Remote Sensing, 3, pp. 274-284.
12. GOUGEON, F.A. and LECKIE, D.G., 2006, The individual tree crown approach applied to Ikonos images of a coniferous plantation area. Photogrammetric Engineering and Remote Sensing, 72, pp. 1287-1297.
13. HARVEY, N.R., THEILER, J., BRUMBY, S.P., PERKINS, S., SZYMANSKI, J.J., BLOCH, J.J., PORTER, R.B., GALASSI, M. and YOUNG, A.C., 2002, Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. IEEE Transactions on Geoscience and Remote Sensing, 40, pp. 393-404.
14. HAY, G.J., CASTILLA, G., WULDER, M.A. and RUIZ, J.R., 2005, An automated object-based approach for the multiscale image segmentation of forest scenes. International Journal of Applied Earth Observation and Geoinformation, 7, pp. 339-359.
15. JING, L., HU, B., NOLAND, T. and LI, J., 2012, An individual tree crown delineation method based on multi-scale segmentation of imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 70, pp. 88-98.
16. KE, Y. and QUACKENBUSH, L.J., 2009, Individual tree crown detection and delineation from high spatial resolution imagery using active contour and hill-climbing methods. In ASPRS 2009 Annual Conference, 9-13 March, Baltimore, MD (Bethesda, MD: American Society of Photogrammetry and Remote Sensing).
17. KE, Y., ZHANG, W. and QUACKENBUSH, L.J., 2010, Active contour and hill-climbing for tree crown detection and delineation. Photogrammetric Engineering and Remote Sensing, 76, pp. 1169-1181.
18. KERR, J.T. and OSTROVSKY, M., 2003, From space to species: ecological applications for remote sensing. TRENDS in Ecology and Evolution, 18, pp. 299-305.
19. LABEN, C.A. and BROWER, B.V., 2000, Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening. Technical Report. U.S. Patent # 6011875, Eastman Kodak Company, Rochester, NY.
20. LARSEN, M. and RUDEMO, M., 1998, Optimizing templates for finding trees in aerial photographs. Pattern Recognition Letters, 19, pp. 1153-1162.
21. LECKIE, D.G., GOUGEON, F.A., TINIS, S., NELSON, T., BURNET, C.N. and PARADINE, D., 2005, Automated tree recognition in old growth conifer stands with high resolution digital imagery. Remote Sensing of Environment, 94, pp. 311-326.
22. LINDE, O. and LINDEBERG, T., 2004, Object recognition using composed receptive field histograms of higher dimensionality. In 18th International Conference on Pattern Recognition, 20-24 August 2006, IEEE Computer Society, Hong Kong.
23. LINDEBERG, T., 1998, Feature detection with automatic scale selection. International Journal of Computer Vision, 30, pp. 79-116.
24. LOSS, L., BEBIS, G., NICOLESCU, M. and SKURIKHIN, A.N., 2009, An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds. Computer Vision and Image Understanding, 113, pp. 126-149.
25. LOWE, D.G., 2004, Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, pp. 91-110.
26. MCDOWELL, N.G., BEERLING, D., BRESHEARS, D., FISHER, R., RAFFA, K. and STITT, M., 2011, Interdependence of mechanisms underlying climate-driven vegetation mortality. Trends in Ecology and Evolution, 26, pp. 523-532.
27. MCDOWELL, N.G., POCKMAN, W.T., ALLEN, C.D., BRESHEARS, D.D., COBB, N., KOLB, T., PLAUT, J., SPERRY, J., WEST, A., WILLIAMS, D.G. and YEPEZ, E.A., 2008, Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? New Phytologist, 178, pp. 719-739.
28. MIKOLAJCZYK, K. and SCHMID, C., 2004, Scale and affine invariant interest point detectors. International Journal of Computer Vision, 60, pp. 63-86.
29. PALACE, M., KELLER, M., ASNER, G. P., HAGEN, S. and BRASWELL, B., 2008, Amazon forest structure from IKONOS satellite data and the automated characterization of forest canopy properties. Biotropica, 40, pp. 141-150.
30. POLLOCK, R.J., 1994, Model-based approach to automatically locating tree crowns in high spatial resolution images. In Proceedings SPIE, 2315, pp. 526-537.
31. POPESCU, S.C. and WYNNE, R.H., 2004, Seeing the trees in the forest: using lidar and multispectral data fusion with local filtering and variable window size for estimating tree height. Photogrammetric Engineering & Remote Sensing, 70, pp. 589-604.
32. POULIOT, D. and KING, D., 2005, Approaches for optimal automated individual tree crown detection in regenerating conifer forests. Canadian Journal of Remote Sensing, 31, pp. 255-267.
33. POULIOT, D., 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, pp. 322-334.
34. ROBINSON, A.P., DUURSMA, R.A. and MARSHALL, J.D., 2005, A regression-based equivalence test for model validation: shifting the burden of proof. Tree Physiology, 25, pp. 903-913.
35. SKURIKHIN, A.N., 2008, Proximity graphs-basedmulti-scale image segmentation. Lecture Notes in Computer Science, 5358, pp. 298-307.
36. SKURIKHIN, A.N., 2010, Visual attention based detection of signs of anthropogenic activities in satellite imagery. In the IEEE Applied Imagery Pattern Recognition Workshop, 13-15 October 2010, Washington, DC. doi:10.1109/AIPR.2010.5759693.
37. STRAND, E.K., VIERLING, L.A., SMITH, A.M.S. and BUNTING, S.C., 2008, Net changes in aboveground woody carbon stock in western juniper woodlands, 1946-1998. Journal of Geophysical Research, 113, G01013. doi:10.1029/ 2007JG000544.
38. WANG, L., 2010, A multi-scale approach for delineating individual tree crowns with very high resolution imagery. Photogrammetric Engineering and Remote Sensing, 76, pp. 371-378.
39. WANG, L., GONG, P. and BIGING, G.S., 2004, Individual tree crown delineation and treetop detection in high-spatial-resolution aerial imagery. Photogrammetric Engineering and Remote Sensing, 70, pp. 351-357.
40. WITKIN, A.P., 1983, Scale-space filtering. In Proceedings of 8th International Joint Conference on Artificial Intelligence, Karlsruhe, Germany, vol. 2, pp. 1019-1022.
41. 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, pp. 103-114.
42. WULDER, M.A., WHITE, J.C., GILLIS, M.D., WALSWORTH, N., HANSEN, M.C. and POTAPOV, P., 2010, Multiscale satellite and spatial information and analysis framework in support of a large-area forest monitoring and inventory update. Environmental Monitoring and Assessment, 170, pp. 417-433.
43. WULDER, M.A., WHITE, J.C., NIEMANN, K.O. and NELSON, T., 2004, Comparison of airborne and satellite high spatial resolution data for the identification of individual trees with local maxima filtering. International Journal of Remote Sensing, 25, pp. 2225-2232.