Mapping canopy height using a combination of digital stereo-photogrammetry and lidar

International Journal of Remote Sensing

Volumn 29, Issue 11, 2008, Pages 3343-3364

  St Onge, B ^a   Vega, C ^b   Fournier, R A ^c   Hu, Y ^a  

^a UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^b UMR TETIS   (France)

^c UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; FORESTRY; MAPPING; PHOTOGRAMMETRY; STEREO IMAGE PROCESSING;

AERIAL PHOTOGRAPHS; CANOPY HEIGHT MODELS; DIGITAL SURFACE MODELS; DIGITAL TERRAIN MODEL; HIGHLY-CORRELATED; LIDAR (LIGHT DETECTION AND RANGING); MATCHING CONDITION; STEREOPHOTOGRAMMETRY;

OPTICAL RADAR;

AERIAL PHOTOGRAPH; CANOPY; DIGITAL PHOTOGRAMMETRY; DIGITAL TERRAIN MODEL; LIDAR; MAPPING; MODELING; PIXEL;

DIGITAL COMPUTERS; FORESTRY; FORESTS; GEOMETRY; IMAGE ANALYSIS; MAPPING; MATHEMATICAL MODELS; OPTICAL SCATTERING; PARAMETERS; PHOTOGRAMMETRY; PHOTOGRAPHY; RESOLUTION;

EID: 46249105500     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701469040     Document Type: Article

References (50)

1. Abd-Elrahman, A., Pearlstine, L., Dewitt, B. A. and Smith, S. E. (2001) Detection of positional errors in systems utilizing small-format digital aerial imagery and navigation sensors using area-based matching techniques. Photogrammetric Engineering Remote Sensing, 67, pp. 825-831.
2. Ahokas, E., Kaartinen, H. and Hyyppa, J. (2003) A quality assessment of airborne laser scanner data. ISPRS Workshop on 3-D Reconstruction from Airborne Laser Scanner and InSAR Data, pp. 1-7. Institute of photogrammetry and Remote Sensing, Dresden University of Technology, Dresden
3. Andersen, H. -E., Mcgaughey, R. J., Carson, W. W., Reutebuch, S. E., Mercer, B. and Allan, J. (2003) A comparison of forest canopy models derived from lidar and InSAR data in a Pacific Northwest conifer forest. ISPRS Workshop on 3-D Reconstruction from Airborne Laser Scanner and InSAR Data, pp. 211-217. Institute of photogrammetry and Remote Sensing, Dresden University of Technology, Dresden
4. Askne, J., Santoro, M., Smith, G. and Fransson, J. E. S. (2003) Multitemporal repeat-pass SAR interferometry of boreal forests. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 1540-1550.
5. Baltsavias, E. P. (1999) A comparison betwen photogrammetry and laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 54, pp. 83-94.
6. Baltsavias, E. P., Li, H., Gaschen, S. and Sinning, M. (1996) DTM generation with the Leica/Helava DPW 770 and VirtuoZo digital photogrammetric systems. Proceedings of Geoinformatics '96 Symposium, pp. 10-17.
7. Barnard, S. T. and Fischler, M. A. (1982) Computational stereo. Computing Surveys, 14, pp. 553-572.
8. Bergeron, Y. (2000) Species and stand dynamics in the mixed woods of Quebec's southern boreal forest. Ecology, 81, pp. 1500-1516.
9. Bergeron, Y., Gauthier, S., Kafka, V., Lefort, P. and Lesieur, D. (2001) Natural fire frequency for the eastern Canadian boreal forest: consequences for sustainable forestry. Canadian Journal of Forest Research, 31, pp. 384-391.
10. Bongers, F. (2001) Methods to assess tropical rain forest canopy structure: An overview. Plant Ecology, 153, pp. 263-277.
11. Brais, S. and Camire, C. (1992) Keys to soil moisture regime evaluation for northwestern Quebec. Canadian Journal of Forest Research, 22, pp. 718-724.
12. Brandtberg, T., Warner, T. A., Landenberger, R. E. and Mcgraw, J. B. (2003) Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America. Remote Sensing of Environment, 85, pp. 290-303.
13. Brown, M. Z., Burschka, D. and Hager, G. D. (2003) Advances in computational stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, pp. 993-1008.
14. Buyuksalih, G. and Li, Z. (2003) Practical experiences with automatic aerial triangulation using different software packages. Photogrammetric Record, 18, pp. 131-155.
15. Coops, N. C., Wulder, M. A., Culvenor, D. S. and St-Onge, B. (2004) Comparison of forest attributes extracted from fine spatial resolution multispectral and lidar data. Canadian Journal of Remote Sensing, 30, pp. 855-866.
16. Donoghue, D. N. M. and Watt, P. J. (2006) Using LiDAR to compare forest height estimates from IKONOS and Landsat ETM+ data in Sitka spruce plantation forests. International Journal of Remote Sensing, 27, pp. 2161-2175.
17. Forstner, W. and Gulch, E. (1987) A fast operator for detection and precise location of distinct points, corners and centres of circular features. Proceedings of the ISPRS Conference on Fast Processing of Photogrammetric Data, pp. 281-305.
18. Gaveau, D. L. A. and Hill, R. A. (2003) Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data. Canadian Journal of Remote Sensing, 29, pp. 650-657.
19. Gobakken, T. and Næsset, E. (2005) Weibull and percentile models for lidar-based estimation of basal area distribution. Scandinavian Journal of Forest Research, 20, pp. 490-502.
20. Halbritter, K. (2000) Remote sensing for quantifying structural diversity in forests for forest biodiversity assessment.
21. Hall, S. A., Burke, I. C., Box, D. O., Kaufmann, M. R. and Stoker, J. M. (2005) Estimating stand structure using discrete-return lidar: An example from low density, fire prone ponderosa pine forests. Forest Ecology and Management, 208, pp. 189-209.
22. Heipke, C. (1996) Overview of image matching techniques. OEEPE Workshop on the Application of Digital Photogrammetry Workstations, pp. 173-189.
23. Hodgson, M. E. and Bresnahan, P. (2004) Accuracy of airborne lidar-derived elevation: Empirical assessment and error budget. Photogrammetric Engineering and Remote Sensing, 70, pp. 331-339.
24. Hodgson, M. E., Jensen, J. R., Schmidt, L., Schill, S. and Davis, B. (2003) An evaluation of LIDAR- and IFSAR-derived digital elevation models in leaf-on conditions with USGS level 1 and level 2 DEMs. Remote Sensing of Environment, 84, pp. 295-308.
25. Holmgren, J. and Jonsson, T. (2004) Large scale airborne laser-scanning of forest resources in Sweden. Laser-Scanners for Forest and Landscape Assessment-Instruments, Processing Methods and Applications International Conference, pp. 157-160. Institute for Forest Growth, University of Freiburg, Freiburg
26. Hyyppa, J., Kelle, O., Lehikoinen, M. and Inkinen, M. (2001) A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners. Transactions on Geoscience and Remote Sensing, 39, pp. 969-975.
27. Kasser, M. and Egels, Y. (2001) Digital photogrammetry, Hermes Sciences Publications, Paris
28. Lin, Z. and Oguchi, T. (2004) Drainage density, slope angle, and relative basin position in Japanese bare lands from high resolution DEMs. Geomorphology, 63, pp. 159-173.
29. Loucks, O. L. (1962) A forest classification for the maritime provinces. Proceedings of the Nova Scotia Institute of Sciences, 25, pp. 85-167.
30. Mehtatalo, L. (2006) Eliminating the effect of overlapping crowns from aerial inventory estimates. Canadian Journal of Forest Research, 36, pp. 1649-1660.
31. Miller, D. R., Quine, C. P. and Hadley, W. (2000) An investigation of the potential of digital photogrammetry to provide measurements of forest characteristics and abiotic damage. Forest Ecology and Management, 135, pp. 279-288.
32. Morsdorf, F., Meier, E., Kotz, B., Itten, K. I., Dobbertin, M. and Allgower, B. (2004) Lidar-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management. Remote Sensing of Environment, 92, pp. 353-362.
33. Næsset, E. (2002) Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data. Remote Sensing of Environment, 80, pp. 88-99.
34. Næsset, E. (2004) Effects of different flying altitudes on biophysical stands properties estimated from canopy height and density measured with a small-footprint airborne scanning laser. Remote Sensing of Environment, 91, pp. 243-255.
35. Næsset, E. (2004) Accuracy of forest inventory using airborne laser scanning: Evaluating the first nordic full-scale operational project. Scandinavian Journal of Forest Research, 19, pp. 554-557.
36. Næsset, E., Bollandsås, O. M. and Gobakken, T. (2005) Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data. Remote Sensing of Environment, 94, pp. 541-553.
37. Næsset, E., Gobakken, T., Holmgren, J., Hyyppa, H., Hyyppa, J., Maltamo, M., Nilsson, M., Olsson, H., Persson, A. and Soderman, U. (2004) Laser scanning of forest resources: The nordic experience. Scandinavian Journal of Forest Research, 19, pp. 482-499.
38. Næsset, E. and Økland, T. (2002) Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserve. Remote Sensing of Environment, 79, pp. 105-115.
39. Patenaude, G., Hill, R. A., Milne, R., Gaveau, D. L. A., Briggs, B. B. J. and Dawson, T. (2004) Quantifying forest above ground carbon contents using lidar remote sensing. Remote Sensing of Environment, 93, pp. 368-380.
40. Persson, A., Holmgren, J. and Soderman, U. (2002) Detecting and measuring individual trees using an airborne laser scanner. Photogrammetric Engineering and Remote Sensing, 68, pp. 925-932.
41. Poon, J., Fraser, C., Zhang, C., Zhang, L. and Gruen, A. (2005) Quality assessment of digital surface models generated from Ikonos imagery. Photogrammetric Record, 20, pp. 162-171.
42. Rampton, V. M., Gautier, R. C., Thibault, J. and Seaman, A. A. (1984) Quaternary geology of New Brunswick. Geological Survey of Canada, Ottwa
43. Reutebuch, S. E., Mcgaughey, R. J., Andersen, H. E. and Carson, W. W. (2003) Accuracy of a high-resolution lidar terrain model under a conifer forest canopy. Canadian Journal of Remote Sensing, 29, pp. 527-535.
44. Rhemtulla, J. J., Hall, D. J., Higgs, E. S. and Macdonald, E. S. (2002) Eighty years of change: Vegetation in the montane ecoregion of Jasper National Park, Alberta, Canada. Canadian Journal of Forest Research, 32, pp. 2010-2021.
45. Shao, J. (1999) Global image feature correspondence under a multi-image network. Image and Vision Computing, 17, pp. 1021-1030.
46. Sheng, Y., Gong, P. and Biging, G. S. (2001) Model-based conifer-crown surface reconstruction from high-resolution aerial images. Photogrammetric Engineering and Remote Sensing, 67, pp. 957-965.
47. Stoker, J. M., Greenlee, S. K., Gesch, D. B. and Menig, J. C. (2006) CLICK: The new USGS Center for Lidar Information Coordination and Knowledge. Photogrammtric Engineering and Remote Sensing, 72, pp. 613-616.
48. St-Onge, B., Jumelet, J., Cobello, M. and Vega, C. (2004) Measuring individual tree height using a combination of stereophotogrammetry and lidar. Canadian Journal of Forest Research, 34, pp. 2122-2130.
49. Wulder, M. A. and Seemann, D. (2003) Forest inventory height update through the integration of lidar data with segmented Landsat imagery. Canadian Journal of Remote Sensing, 99, pp. 536-543.
50. Zhang, Z., Zhang, J., Wu, X. and Zhang, H. (1992) Global image matching with relaxation method. International Colloquium on Photogrammetry, Remote Sensing and Geographic Information Systems, pp. 175-186.