Spectroscopic determination of leaf water content using continuous wavelet analysis

Remote Sensing of Environment

Volumn 115, Issue 2, 2011, Pages 659-670

  Cheng, T ^a   Rivard, B ^a   Sanchez Azofeifa A ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Feature selection; Hyperspectral; Leaf; Spectroscopy; Tropical forests; Water content; Wavelet analysis

Indexed keywords

AMPLITUDE VARIATIONS; ANALYTICAL APPROACH; COMMONLY USED; COMPLEX DATASETS; CONTINUOUS WAVELET ANALYSIS; CONTINUOUS WAVELET TRANSFORM; DRY MASS; DRY MATTERS; FEATURE SELECTION; HYPERSPECTRAL; LEAF; LEAF WATER CONTENT; LINEAR RELATIONSHIPS; PREDICTIVE MODELS; REFLECTANCE SPECTRUM; ROOT MEAN SQUARE ERRORS; SHORT WAVE INFRARED; SPECTRAL ESTIMATION; SPECTRAL INDICES; SPECTRAL REFLECTANCES; SPECTRAL REGION; SPECTRAL RESPONSE; STRONG CORRELATION; TROPICAL FOREST; WAVELET FEATURES;

CELLULOSE; CHLOROPHYLL; ESTIMATION; INFRARED RADIATION; LIGNIN; REFLECTION; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; TROPICS; WATER CONTENT; WAVELET ANALYSIS; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

BIOCHEMICAL COMPOSITION; CELLULOSE; DATA SET; DRY MATTER; ERROR ANALYSIS; GRAVIMETRY; LEAF; LIGNIN; PHYTOCHEMISTRY; PROTEIN; SPECTRAL REFLECTANCE; SPECTROSCOPY; TROPICAL FOREST; WATER CONTENT; WAVELET ANALYSIS;

PANAMA [CENTRAL AMERICA];

EID: 78650913094     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.11.001     Document Type: Article

References (67)

1. Addison P.S. Wavelet transforms and the ECG: A review. Physiological Measurement 2005, 26:155-199.
2. Arivazhagan S., Ganesan L. Texture classification using wavelet transform. Pattern Recognition Letters 2003, 24:1513-1521.
3. Asner G.P., Martin R.E. Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels. Remote Sensing of Environment 2008, 112:3958-3970.
4. Blackburn G.A. Wavelet decomposition of hyperspectral data: A novel approach to quantifying pigment concentrations in vegetation. International Journal of Remote Sensing 2007, 28:2831-2855.
5. Blackburn G.A., Ferwerda J.G. Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis. Remote Sensing of Environment 2008, 112:1614-1632.
6. Bruce L.M., Li J., Huang Y. Automated detection of subpixel hyperspectral targets with adaptive multichannel discrete wavelet transform. IEEE Transactions on Geoscience and Remote Sensing 2002, 40:977-979.
7. Bruce L.M., Morgan C., Larsen S. Automated detection of subpixel hyperspectral targets with continuous and discrete wavelet transforms. IEEE Transactions on Geoscience and Remote Sensing 2001, 39:2217-2226.
8. Castro-Esau K.L., Sánchez-Azofeifa G.A., Caelli T. Discrimination of lianas and trees with leaf-level hyperspectral data. Remote Sensing of Environment 2004, 90:353-372.
9. Castro-Esau K.L., Sánchez-Azofeifa G.A., Rivard B., Wright S.J., Quesada M. Variability in leaf optical properties of mesoamerican trees and the potential for species classification. American Journal of Botany 2006, 93:517-530.
10. Ceccato P., Flasse S., Tarantola S., Jacquemoud S., Grégoire J.M. Detecting vegetation leaf water content using reflectance in the optical domain. Remote Sensing of Environment 2001, 77:22-33.
11. Cheng T., Rivard B., Sánchez-Azofeifa G.A., Feng J., Calvo-Polanco M. Continuous wavelet analysis for the detection of green attack due to mountain pine beetle infestation. Remote Sensing of Environment 2010, 114:899-910.
12. Chuvieco E., Riaño D., Aguado I., Cocero D. Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment. International Journal of Remote Sensing 2002, 23:2145-2162.
13. Colombo R., Meroni M., Marchesi A., Busetto L., Rossini M., Giardino C., et al. Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral indices and inverse modeling. Remote Sensing of Environment 2008, 112:1820-1834.
14. Curran P.J. Remote sensing of foliar chemistry. Remote Sensing of Environment 1989, 30:271-278.
15. Curran P.J., Dungan J.L., Macler B.A., Plummer S.E., Peterson D.L. Reflectance spectroscopy of fresh whole leaves for the estimation of chemical concentration. Remote Sensing of Environment 1992, 39:153-166.
16. Danson F.M., Bowyer P. Estimating live fuel moisture content from remotely sensed reflectance. Remote Sensing of Environment 2004, 92:309-321.
17. Danson F.M., Steven M.D., Malthus T.J., Clark J.A. High-spectral resolution data for determining leaf water content. International Journal of Remote Sensing 1992, 13:461-470.
18. Datt B. Remote sensing of water content in Eucalyptus leaves. Australian Journal of Botany 1999, 47:909-923.
19. Dawson T.P., Curran P.J., Plummer S.E. The biochemical decomposition of slash pine needles from reflectance spectra using neural networks. International Journal of Remote Sensing 1998, 19:1433-1438.
20. Du P., Kibbe W.A., Lin S.M. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching. Bioinformatics 2006, 22:2059-2065.
21. Elvidge C.D. Visible and near infrared reflectance characteristics of dry plant materials. International Journal of Remote Sensing 1990, 11:1775-1795.
22. Estes L.D., Okin G.S., Mwangi A.G., Shugart H.H. Habitat selection by a rare forest antelope: A multi-scale approach combining field data and imagery from three sensors. Remote Sensing of Environment 2008, 112:2033-2050.
23. Farge M. Wavelet transforms and their applications to turbulence. Annual Review of Fluid Mechanics 1992, 24:395-458.
24. Ferwerda J.G., Jones S. Continuous wavelet transformations for hyperspectral feature detection. Proceedings of the 12th International Symposium on Spatial Data Handling, 12-14 July, University of Vienna, Austria 2006.
25. Foley S., Rivard B., Sánchez-Azofeifa G.A., Calvo J. Foliar spectral properties following leaf clipping and implications for handling techniques. Remote Sensing of Environment 2006, 103:265-275.
26. Gao B.-C. NDWI-a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 1996, 58:257-266.
27. Garnier E., Laurent G. Leaf anatomy, specific mass and water content in congeneric annual and perennial grass species. The New Phytologist 1994, 128:725-736.
28. González-Audícana M., Saleta J.L., Catalán R.G., García R. Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition. IEEE Transactions on Geoscience and Remote Sensing 2004, 42:1291-1299.
29. Hunt E.R., Rock B.N. Detection of changes in leaf water content using near- and middle-infrared reflectances. Remote Sensing of Environment 1989, 30:43-54.
30. Hunt E.R., Rock B.N., Nobel P.S. Measurement of leaf relative water content by infrared reflectance. Remote Sensing of Environment 1987, 22:429-435.
31. Kaewpijit S., Moigne J.L., El-Ghazawi T. Automatic reduction of hyperspectral imagery using wavelet spectral analysis. IEEE Transactions on Geoscience and Remote Sensing 2003, 41:863-871.
32. Kalácska M., Sánchez-Azofeifa G.A., Rivard B., Caelli T., White H.P., Calvo-Alvarado J.C. Ecological fingerprinting of ecosystem succession: Estimating secondary tropical dry forest structure and diversity using imaging spectroscopy. Remote Sensing of Environment 2007, 108:82-96.
33. Koger C.H., Bruce L.M., Shaw D.R., Reddy K.N. Wavelet analysis of hyperspectral reflectance data for detecting pitted morningglory (Ipomoea lacunosa) in soybean (Glycine max). Remote Sensing of Environment 2003, 86:108-119.
34. Kokaly R.F. Investigating a physical basis for spectroscopic estimates of leaf nitrogen concentration. Remote Sensing of Environment 2001, 75:153-161.
35. Kokaly R.F., Clark R.N. Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression. Remote Sensing of Environment 1999, 67:267-287.
36. Kramer P.J., Boyer J.S. Water relations in plants and soils 1995, Academic Press, San Diego, CA.
37. Laba M., Smith S., Sullivan P., Philpot W., Baveye P. Influence of wavelet type on the classification of marsh vegetation from satellite imagery using a combination of wavelet texture and statistical component analyses. Canadian Journal of Remote Sensing 2007, 33:260-265.
38. le Maire G., François C., Dufrêne E. Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements. Remote Sensing of Environment 2004, 89:1-28.
39. Leung A.K., Chau F., Gao J. A review on applications of wavelet transform techniques in chemical analysis: 1989-1997. Chemometrics and Intelligent Laboratory Systems 1998, 43:165-184.
40. Li L., Ustin S.L., Riaño D. Retrieval of fresh leaf fuel moisture content using genetic algorithm partial least squares (GA-PLS) modeling. IEEE Geoscience and Remote Sensing Letters 2007, 4:216-220.
41. Maki M., Ishiahra M., Tamura M. Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data. Remote Sensing of Environment 2004, 90:441-450.
42. Mallat S.G. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 1989, 11:674-693.
43. Mallat S. Zero-crossings of a wavelet transform. IEEE Transactions on Information Theory 1991, 37:1019-1033.
44. Miller J.R., Hare E.W., Wu J. Quantitative characterization of the vegetation red edge reflectance 1. An inverted-Gaussian reflectance model. International Journal of Remote Sensing 1990, 11:1755-1773.
45. Myint S.W., Lam N.S.-N., Tyler J.M. Wavelets for urban spatial feature discrimination: Comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches. Photogrammetric Engineering and Remote Sensing 2004, 70:803-812.
46. Núñez J., Otazu X., Fors O., Prades A., Palà V., Arbiol R. Multiresolution-based image fusion with additive wavelet decomposition. IEEE Transactions on Geoscience and Remote Sensing 1999, 37:1204-1211.
47. Ouma Y.O., Tetuko J., Tateishi R. Analysis of co-occurrence and discrete wavelet transform textures for differentiation of forest and non-forest vegetation in very-high-resolution optical-sensor imagery. International Journal of Remote Sensing 2008, 29:3417-3456.
48. Peñuelas J., Filella I., Biel C., Serrano L., Save R. The reflectance at the 950-970 nm region as an indicator of plant water status. International Journal of Remote Sensing 1993, 14:1887-1905.
49. Peñuelas J., Piñol J., Ogaya R., Filella I. Estimation of plant water concentration by the reflectance water index WI (R900/R970). International Journal of Remote Sensing 1997, 18:2869-2875.
50. Pu R., Foschi L., Gong P. Spectral feature analysis for assessment of water status and health level in coast live oak (Quercus agrifolia) leaves. International Journal of Remote Sensing 2004, 25:4267-4286.
51. Pu R., Ge S., Kelly N.M., Gong P. Spectral absorption features as indicators of water status in coast live oak (Quercus agrifolia) leaves. International Journal of Remote Sensing 2003, 24:1799-1810.
52. Pu R., Gong P. Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping. Remote Sensing of Environment 2004, 91:212-224.
53. Riaño D., Vaughan P., Chuvieco E., Zarco-Tejada P.J., Ustin S.L. Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: Analysis at leaf and canopy level. IEEE Transactions on Geoscience and Remote Sensing 2005, 43:819-826.
54. Rivard B., Feng J., Gallie A., Sánchez-Azofeifa A. Continuous wavelets for the improved use of spectral libraries and hyperspectral data. Remote Sensing of Environment 2008, 112:2850-2862.
55. Sánchez-Azofeifa G.A., Castro K., Wright S.J., Gamon J., Kalacska M., Rivard B., et al. Differences in leaf traits, leaf internal structure, and spectral reflectance between two communities of lianas and trees: Implications for remote sensing in tropical environments. Remote Sensing of Environment 2009, 113:2076-2088.
56. Shi W., Zhu C., Zhu C., Yang X. Multi-band wavelet for fusing SPOT panchromatic and multispectral images. Photogrammetric Engineering and Remote Sensing 2003, 69:513-520.
57. Sims D.A., Gamon J.A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment 2002, 81:337-354.
58. Sims D.A., Gamon J.A. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid water and chlorophyll absorption features. Remote Sensing of Environment 2003, 84:526-537.
59. Stimson H.C., Breshears D.D., Ustin S.L., Kefauver S.C. Spectral sensing of foliar water conditions in two co-occurring conifer species: Pinus edulis and Juniperus monosperma. Remote Sensing of Environment 2005, 96:108-118.
60. Tian Q., Tong Q., Pu R., Guo X., Zhao C. Spectroscopic determination of wheat water status using 1650-1850nm spectral absorption features. International Journal of Remote Sensing 2001, 22:2329-2338.
61. Torrence C., Compo G.P. A practical guide to wavelet analysis. Bulletin of the American Meteorological Society 1998, 79:61-78.
62. Unser M., Aldroubi A. A review of wavelets in biomedical applications. Proceedings of the IEEE 1996, 84:626-638.
63. Venables W.N., Ripley B.D. Modern Applied Statistics with S 2002, Springer. Fourth edition.
64. Zhang Y., Hong G. An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images. Information Fusion 2005, 6:225-234.
65. Zhang J., Rivard B., Sánchez-Azofeifa A., Castro-Esau K. Intra- and inter-class spectral variability of tropical tree species at La Selva, Costa Rica: Implications for species identification using HYDICE imagery. Remote Sensing of Environment 2006, 105:129-141.
66. Zhou J., Civco D.L., Silander J.A. A wavelet transform method to merge Landsat TM and SPOT panchromatic data. International Journal of Remote Sensing 1998, 19:743-757.
67. Zhou W., Wang S., Zhou Y., Troy A. Mapping the concentrations of total suspended matter in Lake Taihu, China, using Landsat-5 TM data. International Journal of Remote Sensing 2006, 27:1177-1191.