Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels

Remote Sensing of Environment

Volumn 109, Issue 4, 2007, Pages 406-415

  Kalacska, M ^a   Bohlman, S ^b,d   Sanchez Azofeifa, G A ^a   Castro Esau, K ^a   Caelli, T ^c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b SMITHSONIAN TROPICAL RESEARCH INSTITUTE   (Panama)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^d PRINCETON UNIVERSITY   (United States)

Author keywords

Feature selection; Hyperspectral data; Panama; Pattern recognition; Tropical dry forest; Wavelet energy feature vector

Indexed keywords

AIRBORNE TELESCOPES; DATA REDUCTION; ERROR ANALYSIS; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS; WAVELET ANALYSIS;

HYPERSPECTRAL DATA; PARAMETRIC CLASSIFIERS; TROPICAL DRY FOREST; WAVELET ENERGY FEATURE VECTOR;

FORESTRY;

CANOPY; COMPARATIVE STUDY; DATA SET; DRY FOREST; LEAF; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SPECTRAL ANALYSIS; WAVELET;

DATA PROCESSING; FORESTRY; LEAVES;

CENTRAL AMERICA; PANAMA [CENTRAL AMERICA];

EID: 34347331344     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.01.012     Document Type: Article

References (54)

1. Asner G.P. Biophysical and biochemical sources of variability in canopy reflectance. Remote Sensing of Environment 64 3 (1998) 234-253
2. Avalos G., and Mulkey S.S. Seasonal changes in liana cover in the upper canopy of a tropical dry forest. Biotropica 31 (1999) 517-520
3. Avalos G., Mulkey S.S., and Kitajima K. Leaf optical properties of trees and lianas in the outer canopy of a tropical dry forest. Biotropica 31 3 (1999) 517-520
4. Bishop C.M. Neural Networks for Pattern Recognition (1995), Clarendon Press, Oxford
5. Bohlman S., and Lashlee D. High spatial and spectral resolution remote sensing of the Panama Canal Zone watershed forests: An applied example mapping tropical tree species. In: Harmon R.S. (Ed). The Rio Chagres: A Multidisciplinary Profile of a Tropical Watershed. (2004), Kluwer Press, Dordrecht
6. Bruce L.M., Morgan C., and Larsen S. Automated detection of subpixel hyperspectral targets with continuous and discrete wavelet transforms. IEEE Transactions on Geoscience and Remote Sensing 39 10 (2001) 2217-2226
7. Bruce L.M., Koger C.H., and Jiang L. Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction. IEEE Transactions on Geoscience and Remote Sensing 40 (2002) 2331-2338
8. Castro K., Sánchez-Azofeifa G.A., Rivard B., Wright S.J., and Quesada M. Inter and intra species variability of spectral reflectance of tropical trees. American Journal of Botany 93 (2006) 517-530
9. Castro-Esau K., Sanchez-Azofeifa G.A., and Caelli T. Discrimination of lianas and trees with leaf-level hyperspectral data. Remote Sensing of Environment 90 (2004) 353-372
10. Chan A.K., and Peng C. Wavelets for Sensing Technologies (2003), Artech House Publishers, Norwood MA 246 pp
11. Cheriyadat A., and Bruce L.M. Why principal component analysis is not an appropriate feature extraction method for hyperspectral data. Geoscience and Remote Sensing Symposium IGARSS '03. Proceedings. IEEE International (2003) 3420-3422
12. Chuyong G.B., Condit R., Kenfack D., Losos E.C., Moses N.S., Songwe N.C., et al. Korup forest dynamics plot, Cameroon. In: Losos E.C., and Leigh Jr. E.G. (Eds). Tropical forest diversity and dynamism: Findings from a large-scale plot network (2004), University of Chicago Press, Chicago 506-516
13. Clark M.L., Roberts D.R., and Clark D.B. Hyperspectral discrimination of tropical rain forest trees species at leaf to crown scales. Remote Sensing of Environment 96 (2005) 375-398
14. Cochrane M.A. Using vegetation reflectance variability for species level classification of hyperspectral data. International Journal of Remote Sensing 21 10 (2000) 2075-2087
15. Daubechies I. Ten Lectures on Wavelets (1992), SIAM
16. De Backer S., Kempeneers P., Debruyn W., and Scheunders P. A band selection technique for spectral classification. IEEE Geoscience and Remote Sensing Letters 2 (2005) 319-323
17. Defernez M., and Kemsley E.K. The use and misuse of chemometrics for treating classification products. TrAC. Trends in analytical chemistry 16 4 (1997) 216-221
18. Duin R.P.W. PRTools Version 3.0 - A Matlab Toolbox for Pattern Recognition (2000), Pattern recognition group, Delft Institute for Technology, Delft, The Netherlands
19. Fielding A. How should accuracy be measured?. In: Fielding A. (Ed). Machine learning methods for ecological applications (1999), Kluwer Academic Publishers, Norwell MA 209-224
20. Foley S., Rivard B., and Sánchez-Azofeifa G.A. Foliar spectral properties following leaf clipping and implications for handling techniques. Remote Sensing of Environment 103 (2006) 265-275
21. Fukunaga K. Introduction to Statistical Pattern Recognition. (2nd edition) (1990), Academic Press, New York
22. Gamon J.A., Kitajima K., Mulkey S.S., Serrano L., and Wright S.J. Diverse optical and photosynthetic properties in a neotropical dry forest during the dry season: Implications for remote estimation of photosynthesis. Biotropica 37 (2005) 547-560
23. Gentry A.H. The distribution and evolution of climbing plants. In: Putz F.E., and Mooney H.A. (Eds). The Biology of Vines (1992), Cambridge University Press, Cambridge, United Kingdom 3-50
24. Gentry A.H., and Dobson C. Contribution of nontrees to species richness of a tropical rain forest. Biotropica 19 (1987) 149-156
25. Hagan M.T., and Menhaj M. Training feed-forward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks 5 (1994) 989-993
26. Hegarty E.E., and Caballé G. Distribution and abundance of vines in forest communities. In: Putz F.E., and Mooney H.A. (Eds). The Biology of Vines (1992), Cambridge University Press, Cambridge, United Kingdom 313-335
27. Huang R., and He M. Band selection based on feature weighting for classification of hyperspectral data. IEEE Geoscience and Remote Sensing Letters 2 (2005) 156-159
28. Kalacska M., Calvo-Alvarado J.C., and Sánchez-Azofeifa G.A. Calibration and assessment of seasonal changes in leaf area index of a tropical dry forest in different stages of succession. Tree Physiology 25 (2005) 733-744
29. Kitajima K., Mulkey S.S., and Wright S.J. Variation in crown light utilization characteristics among tropical canopy trees. Annals of Botany 95 (2005) 535-547
30. Laurance W.F., Pérez-Salicrup D., Delamônica P., Fearnside P.M., D'Angelo S., Jerozolinski A., Pohl L., and Lovejoy T.E. Rain forest fragmentation and the structure of Amazonian liana communities. Ecology 82 (2001) 105-116
31. Lee D.W., Bone R.A., Tarsis S.L., and Storch D. Correlates of leaf optical properties in tropical forest sun and extreme-shade plants. American Journal of Botany 77 3 (1990) 370-380
32. Lee D.W., and Graham R. Leaf optical properties of rain forest sun and extreme shade plants. American Journal of Botany 73 8 (1986) 1100-1108
33. Lewis S.L., Malhi Y., and Phillips O.L. Fingerprinting the impacts of global on tropical forests. Philosophical Transactions of the Royal Society of London 359 (2005) 437-462
34. Li J., Bruce L.M., Byrd J., and Barnett J. Automated detection of Pueraria montana (Kudzu) through Haar analysis of hyperspectral reflectance data. IEEE International Geosciences and Remote Sensing Symposium, Sydney Australia July 9 - 13 (2001)
35. Makana J.-R.., Hart T.B., Liengola I., Ewango C., Hart J.A., and Condit R. Ituri forest dynamics plots, Democratic Republic of Congo. In: Losos E.C., and Leigh Jr. E.G. (Eds). Tropical forest diversity and dynamism: Findings from a large-scale plot network (2004), University of Chicago Press, Chicago 492-505
36. Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (1989) 647-693
37. Meyer P., Staenz K., and Itten K.I. Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography. ISPRS Journal of Phtogrammetry and Remote Sensing 51 (1996) 5-16
38. Misiti M., Misiti Y., Oppenheim G., and Poggi J.M. Wavelet Toolbox User's Guide (1996), The Mathworks Inc., Natick MA
39. Pérez-Salicrup D.R. Effect of liana cutting on tree regeneration in a liana forest in Amazonian Bolivia. Ecology 82 (2001) 389-396
40. Pérez-Salicrup D.R., and de Meijere W. Number of lianas per tree and number of trees climbed by lianas at Los Tuxtlas, Mexico. Biotropica 37 (2005) 153-156
41. Phillips N., Oren R., Zimmermann R., and Wright S.J. Temporal patterns of water flux in trees and lianas in a Panamanian moist forest. Trees - Structure and Function 14 (1999) 116-123
42. Phillips O.L., Martinez R.V., Arroyo L., Baker T.R., Killeen T., Lewis S.L., et al. Increased dominance of large lianas in Amazonian forests. Nature 418 (2002) 770-774
43. Phillips O.L., Vasquez Martinez R., Monteagudo A., Baker T.R., and Nuñez Vargas P. Large lianas as hyperdynamic elements of the tropical forest canopy. Ecology 86 (2005) 1250-1258
44. Pu R., and Gong P. Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping. Remote Sensing of Environment 91 (2004) 212-224
45. Putz F.E. Liana biomass and leaf area of a "tierra firme" forest in the Rio Negro basin, Venezuela. Biotropica 15 (1984) 185-189
46. Ripley B.D. Pattern Recognition and Neural Networks (1996), Cambridge University Press
47. Sánchez-Azofeifa G.A., and Castro-Esau K. Canopy observations on the hyperspectral properties of a community of dry forest lianas and their host trees. International Journal of Remote Sensing 27 (2005) 2101-2109
48. Sánchez-Azofeifa, G. A., Castro-Esau, K., Wright S. J., & Gamon, J. (unpublished data). Differences in spectral reflectance, pigmentation and leaf internal structure of two communities of lianas and trees from a tropical dry and tropical wet forest.
49. Schnitzer S. A mechanistic explanation for the global patterns of liana abundance and distribution. American Naturalist 166 (2005) 262-276
50. Schnitzer S.A., and Bongers F. The ecology of lianas and their role in forests. Trends Ecolology & Evolution 17 (2002) 223-230
51. Schowengerdt R.A. On the estimation of spatial-spectral mixing with classifier likelihood functions. Pattern Recognition Letters 17 (1996) 1379-1387
52. van der Heijden F., Duin R.P.W., de Ridder D., and Tax D.M.J. Classification, Parameter Estimation and State Estimation - An Engineering Approach Using Matlab (2004), John Wiley & Sons 424 pp.
53. Wright S.J., Calderon O., Hernandez A., and Paton S. Are lianas increasing in importance in tropical forests? A 17-year record from Panama. Ecology 85 (2004) 484-489
54. Zhang, J., Rivard, B., Sánchez-Azofeifa, G. A., Castro-Esau, K. (in press). Intra- and inter-class variability of tropical tree species at La Selva, Costa Rica: implications for species identification using HYDICE imagery. Remote Sensing of Environment, 105(2), 129-141.