Exploring the Utility of Hyperspectral Imagery and LiDAR Data for Predicting Quercus garryana Ecosystem Distribution and Aiding in Habitat Restoration

Restoration Ecology

Volumn 19, Issue 201, 2011, Pages 245-256

  Jones, Trevor G ^a   Coops, Nicholas C ^a   Sharma, Tara ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b PARKS CANADA   (Canada)

Author keywords

Airborne hyperspectral; Contemporary reference data; LiDAR canopy volume profiles; Terrestrial ecosystem mapping

Indexed keywords

AERIAL PHOTOGRAPH; AIRBORNE SENSING; HABITAT MANAGEMENT; HABITAT RESTORATION; IMAGE CLASSIFICATION; LIDAR; MAPPING; RESTORATION ECOLOGY; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; TERRESTRIAL ECOSYSTEM;

QUERCUS GARRYANA;

EID: 79952214684     PISSN: 10612971     EISSN: 1526100X     Source Type: Journal    
DOI: 10.1111/j.1526-100X.2010.00684.x     Document Type: Article

References (45)

1. Abramov, O., and A. McEwen 2004. An evaluation of interpolation methods for Mars Orbitor Laser Altimeter (MOLA) data. International Journal of Remote Sensing 25: 669-676.
2. (AYXS EC) AXYS Environmental Consulting Ltd. 2004. Gulf Islands National Park Reserve: conservation assessment review. Gulf Islands National Park Reserve of Canada, Parks Canada, Sidney, BC.
3. Bruzzone, L., and L. Carlin 2006. A multilevel context-based system for classification of very high spatial resolution images. IEEE Transactions on Geoscience and Remote Sensing 44: 2587-2600.
4. Carlson, K. M., G. P. Asner, R. F. Hughes, R. Ostertag, and R. E. Martin 2007. Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests. Ecosystems 10: 526-549.
5. Clark, M., D. A. Roberts, and D. B. Clark 2005. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales. Remote Sensing of Environment 96: 497-508.
6. Cochrane, M. A. 2000. Using vegetation reflectance variability for species level classification of hyperspectral data. International Journal of Remote Sensing 21: 2075-2087.
7. Congalton, R. G., and K. Green 1999. Assessing the accuracy of remotely sensed data: principles and practices. Lewis Publishers, Boca Raton, Florida.
8. Coops, N. C., T. Hilker, M. A. Wulder, B. St-Onge, G. Newnham, A. Siggins, and J. A. Trofymow 2007. Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR. Trees: Structure and Function 21: 295-310.
9. Felde, G. W., G. P. Anderson, T. W. Cooley, M. W. Matthew, M. A. Adler-Golden, A. Berk, and J. Lee 2003. Analysis of Hyperion data with the FLAASH atmospheric correction algorithm. Proceedings of the Geoscience and Remote Sensing Symposium 1: 90-92.
10. Foody, G. M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment 80: 185-201.
11. Fuchs, M. A. 2001. Towards a recovery strategy for garry oak and associated ecosystems in Canada: ecological assessment and literature review. Technical Report GBEI/EC-00-030. Environment Canada, Canadian Wildlife Service, Pacific and Yukon Region, Delta, British Columbia.
12. Gillespie, T. W., J. Brock, and C. W. Wright 2004. Prospects for quantifying structure, floristic composition and species richness of tropical forests. International Journal of Remote Sensing 25:707-715.
13. (GOERT) Garry oak Ecosystems Recovery Team. 2003. Species at risk in Garry oak and associated ecosystems in British Columbia. Summary report. Garry oak ecosystems recovery team, Victoria, British Columbia.
14. Goetz, A. F. H. 1992. Principles of narrow band spectrometry in the visible and IR: instruments and data analysis. Pages 21-32 in F. Toselli and J. Bodechtel, editors. Imaging spectroscopy: fundamentals and prospective applications. Kluwer Academic Publishers, Dordrecht, Netherlands.
15. Green, R. N. 2007. Terrestrial ecosystem mapping of the southern Gulf Islands. Final report. B.A. Blackwell and Associates Ltd., North Vancouver, British Columbia.
16. Hill, R. A., and A. G. Thomson 2005. Mapping woodland species composition and structure using airborne spectral and LIDAR data. International Journal of Remote Sensing 26: 3763-3779.
17. Hobbs, R. J. 2002. The ecological context: a landscape perspective. Pages 22-45 in M. R. Perrow and A. J. Davy, editors. Handbook of ecological restoration, vol. 1: principles of restoration. Cambridge University Press, United Kingdom.
18. Hobbs, R. J. 2007. Setting effective and realistic restoration goals: key directions for research. Restoration Ecology 15: 354-357.
19. Hobbs, R. J., and J. A. Harris 2001. Repairing the Earth's ecosystems in the new millennium. Restoration Ecology 9: 239-246.
20. Hobbs, R. J., and D. A. Norton 1996. Towards a conceptual framework for restoration ecology. Restoration Ecology 4: 93-110.
21. Hsu, C., C. Chang, and C. Lin 2007. A practical guide to support vector classification. Final report. Department of Computer Science, National Taiwan University, Taipei City.
22. Jones, T. G., N. C. Coops, and T. Sharma 2010. Employing ground-based spectroscopy for tree species differentiation in the Gulf Islands National Park Reserve. International Journal of Remote Sensing, 31:1121-1127.
23. Koetz, B., G. Sun, F. Morsdorf, K. J. Ranson, M. Kneubühler, K. Itten, and B. Allgöwer. 2007. Fusion of imaging spectrometer and LiDAR data over combined radiative transfer models for forest canopy characterization. Remote Sensing of Environment 106: 449-459.
24. Lefsky, M. A., W. B. Cohen, S. A. Acker, G. Parker, T. A. Spies, and D. Harding 1999. LiDAR remote sensing of the canopy structure and biophysical properties of Douglas Fir-Western Hemlock Forests. Remote Sensing of Environment 70:339-361.
25. Martin, M. E., S. D. Newman, J. D. Aber, and R. G. Congalton 1998. Determining forest species composition using high spectral resolution remote sensing data. Remote Sensing of Environment 65: 249-254.
26. Meidinger, D., and J. Pojar 1991. Ecosystems of British Columbia. BC Special Report Series No. 6. British Columbia Ministry of Forests, Victoria, British Columbia.
27. Meinke, C. W., S. T. Knick, and D. A. Pyke 2008. A spatial model to prioritize Sagebrush landscapes in the intermountain west (U.S.A.) for restoration. Restoration Ecology 17: 652-659.
28. Melgani, F., and L. Bruzzone 2004. Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing 42: 1778-1790.
29. Ministry of Forests and Range, Biogeoclimactic zones of British Columbia. 2006 (available from) accessed 23 January 2007.
30. Noss, R. F. 1996. Ecosystems as conservation targets. Trends in Ecology and Evolution 11: 351.
31. Parks Canada Agency. 1997. State of the Parks Report. Internal Document. Ottawa, Ontario.
32. Pfadenhauer, J., and A. Grootjans 1999. Wetland restoration in Central Europe: aims and methods. Applied Vegetation Science 2: 95-106.
33. Sambridge, M., J. Braun, and H. McQueen 1995. Geophysical parameterisation and interpolation of irregular data using natural neighbours. Geophysical Journal International 122: 837-857.
34. Sibson, R. 1981. A brief description of natural neighbor interpolation. Pages 21-35 in V. Barnett, editor. Interpreting multivariate data. Wiley, Chichester, West Sussex.
35. Smith, R. B. 2006. Introduction to hyperspectral imaging. TNTmips MicroImages, Inc. Pages 1-24, Lincoln, Nebraska.
36. Ustin, S. L., D. A. Roberts, J. A. Gamon, G. P. Asner, and R. O. Green 2004. Using image spectroscopy to study ecosystem processes and properties. BioScience 54: 523-534.
37. van Aardt, J. A. N., and R. H. Wynne 2007. Examining pine spectral seperability using hyperspectral data from airborne sensor: an extension of field-based results. International Journal of Remote Sensing 28: 431-436.
38. van der Meer, F. D. 2006. Basic principles of spectrometry. Pages 3-16 in F. D. van der Meer and S. M. de Jong, editors. Imaging spectroscopy: basic principles and prospective applications. Springer Publishers, Dordrecht, Netherlands.
39. Whisenant, S. G. 1999. Repairing damaged wildlands: a process-oriented, landscape-scale approach. Cambridge University Press.
40. White, P. S., and J. L Walker 1997. Approximating nature's variation: selecting and using reference information in restoration ecology. Restoration Ecology. 5: 338-349.
41. Woodley, S. 1993. Monitoring and measuring ecosystem integrity in Canadian National Parks. Pages 1-14 in S. J. Woodley, G. Francis, and J. Kay, editors. Ecological integrity and the management of ecosystems. CRC Press, Boca Raton, Florida.
42. Wu, T., C. Lin, and R. C. Weng 2004. Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research 5: 976-1005.
43. Wulder, M. A., C. W. Bater, N. C. Coops, T. Hilker, and J. C. White 2008. The role of LiDAR in sustainable forest management. The Forestry Chronicle 84: 1-19.
44. Yang, C., J. H. Everitt, R. S. Fletcher, R. R. Jensen, and P. W. Mausel 2009. Evaluating AISA + hyperspectral imagery for mapping black mangrove along the south Texas Gulf Coast. Photogrammetric Engineering and Remote Sensing 75: 425-435.
45. Yates, C. J., R. J. Hobbs, and R. W. Bell 1994. Landscape-scale disturbances and regeneration of semi-arid woodlands of south-western Australia. Pacific Conservation Biology 1: 214-221.