Hyperspectral remote sensing of plant pigments

Journal of Experimental Botany

Volumn 58, Issue 4, 2007, Pages 855-867

  Blackburn, George Alan ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Anthocyanins; Carotenoids; Chlorophyll; Hyperspectral; Optical properties; Pigments; Radiative transfer; Reflectance; Remote sensing

Indexed keywords

CHLOROPHYLL; NONDESTRUCTIVE EXAMINATION; OPTICAL PROPERTIES; PHYSIOLOGY; PLANTS (BOTANY); RADIATIVE TRANSFER; REFLECTION; REMOTE SENSING;

ANTHOCYANINS; CAROTENOIDS; HYPERSPECTRAL REMOTE SENSING; PLANT PIGMENTS;

PIGMENTS;

PIGMENT;

ARTICLE; CHEMISTRY; GENETIC PROCEDURES; METHODOLOGY; PLANT LEAF; SPECTROSCOPY;

BIOSENSING TECHNIQUES; PIGMENTS, BIOLOGICAL; PLANT LEAVES; SPECTRUM ANALYSIS;

EID: 33847670560     PISSN: 00220957     EISSN: 14602431     Source Type: Journal    
DOI: 10.1093/jxb/erl123     Document Type: Article

References (131)

1. Adams ML, Philpot WD, Norvell WA. 1999. Yellowness index: an application of spectral 2nd derivatives to estimate chlorosis of leaves in stressed vegetation. International Journal of Remote Sensing 20, 3663-3675.
2. Almeida TIR, De Souza Filho CR. 2004. Principal component analysis applied to feature-oriented band ratios of hyperspectral data: a tool for vegetation studies. International Journal of Remote Sensing 25, 5005-50023.
3. Archetti M. 2000. The origin of autumn colours by coevolution. Journal of Theoretical Biology 205, 625-630.
4. Archetti M, Brown SP. 2004. The coevolution theory of autumn colours. Proceedings of the Royal Society of London B 271, 1219-1223.
5. Baltzer JL, Thomas SC. 2005. Leaf optical responses to light and soil nutrient availability in temperate deciduous trees. American Journal of Botany 92, 214-223.
6. Bartley GE, Scolnik PA. 1995. Plant carotenoids: pigments for photoprotection, visual attraction, and human health. The Plant Cell 7, 1027-1038.
7. Barker DH, Seaton GGR, Robinson SA. 1997. Internal and external photoprotection in developing leaves of the CAM plant Cotyledon orbiculata. Plant, Cell and Environment 20, 617-624.
8. Blackburn GA. 1998a. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves. International Journal of Remote Sensing 19, 657-675.
9. Blackburn GA. 1998b. Quantifying chlorophylls and carotenoids from leaf to canopy scales: an evaluation of some hyperspectral approaches. Remote Sensing of Environment 66, 273-285.
10. Blackburn GA. 1999. Relationships between spectral reflectance and pigment concentrations in stacks of broadleaves. Remote Sensing of Environment 70, 224-237.
11. Blackburn GA. 2002. Remote sensing of forest pigments using airborne imaging spectrometer and LIDAR imagery. Remote Sensing of Environment 82, 311-321.
12. Blackburn GA. 2006. Wavelet decomposition of hyperspectral data: a novel approach to quantifying pigment concentrations in vegetation. International Journal of Remote Sensing (in press).
13. Blackburn GA, Steele CM. 1999. Towards the remote sensing of matorral vegetation physiology: relationships between spectral reflectance, pigment and biophysical characteristics of semi-arid bushland canopies. Remote Sensing of Environment 70, 278-292.
14. Boochs F, Dockter K, Kupfer G, Kuhbauch W. 1990. Shape of the red edge as a vitality indicator for plants. International Journal of Remote Sensing 11, 1741-1754.
15. Broge NH, Leblanc E. 2000. Comparing the prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sensing of Environment 76, 156-172.
16. Broge NH, Mortensen JV. 2002. Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data. Remote Sensing of Environment 81, 45-57.
17. Buscaglia HJ, Varco JJ. 2002. Early detection of cotton leaf nitrogen status using leaf reflectance. Journal of Plant Nutrition 25, 2067-2080.
18. Carter GA, Knapp AK. 2001. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. American Journal of Botany 88, 677-684.
19. Carter GA, Spiering BA. 2002. Optical properties of intact leaves for estimating chlorophyll concentration. Journal of Environmental Quality 31, 1424-1432.
20. Chalker-Scott L. 1999. Environmental significance of anthocyanins in plant stress responses. Photochemistry and Photobiology 70, 1-9.
21. Chappelle EW, Kim MS, McMurtrey JE. 1992. Ratio analysis of reflectance spectra (RARS): an algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B and the carotenoids in soybean leaves. Remote Sensing of Environment 39, 239-247.
22. Chen J, Wang XZ. 2001. A new approach to NIR spectral data analysis using independent component analysis. Journal of Chemical Information and Computer Sciences 41, 992-1001.
23. Chen L, Huang JF, Wang FM, Tang YL. 2006. Comparison between backpropagation neural network and regression models for estimation of pigment content in rice leaves and panicles using hyperspectral data. International Journal of Remote Sensing (in press).
24. Cho MA, Skidmore AK. 2006. A new technique for extracting the red edge position for hyperspectral data: the linear extrapolation method. Remote Sensing of Environment 101, 181-193.
25. Clevers JGPW, Kooistra L, Salas EAL. 2004. Study of heavy metal contamination in floodplains using the red edge position in spectroscopic data. International Journal of Remote Sensing 25, 3883-3895.
26. Close DC, Beadle CL. 2003. The ecophysiology of foliar anthocyanin. The Botanical Review 69, 149-161.
27. Combal B, Baret F, Weiss M, Trubuil A, Mace D, Pragnere A, Myneni R, Knyazikhin Y, Wang L. 2002. Retrieval of canopy biophysical variables from bidirectional reflectance: using prior information to solve the ill-posed inverse problem. Remote Sensing of Environment 84, 1-15.
28. Coops N, Drury S, Smith ML, Martin M, Ollinger S. 2002. Comparison of green leaf eucalypt spectra using spectral decomposition. Australian Journal of Botany 50, 567-576.
29. Coops NC, Stone C. 2005. A comparison of field-based and modelled reflectance spectra from damaged Pinus radiata foliage. Australian Journal of Botany 53, 417-429.
30. Coops NC, Stone C, Culvenor DS, Chisholm LA, Merton RN. 2003. Chlorophyll content in eucalypt vegetation at the leaf and canopy scales as derived from high spectral resolution data. Tree Physiology 23, 23-31.
31. Curran PJ, Dungan JL, Macler BA, Plummer SE. 1991. The effect of a red leaf pigment on the relationship between red-edge and chlorophyll concentration. Remote Sensing of Environment 35, 69-75.
32. Curran PJ, Dungan JL, Peterson DL. 2001. Estimating the foliar biochemical concentration of leaves with reflectance spectrometry. Remote Sensing of Environment 76, 349-359.
33. Dash J, Curran PJ. 2004. The MERIS terrestrial chlorophyll index. International Journal of Remote Sensing 25, 5403-5413.
34. Datt B. 1998. Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b and total carotenoid content in eucalyptus leaves. Remote Sensing of Environment 66, 111-121.
35. Daughtry CST, Walthall CL, Kim MS, Brown de Colstoun E, McMurtrey JE. 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment 74, 229-239.
36. Davies KM (ed). 2004. Plant pigments and their manipulation. Annual plant reviews, Vol. 14. Oxford, UK: Blackwell Publishing.
37. Dawson TP, Curran PJ. 1998. A new technique for interpolating the reflectance red edge position. International Journal of Remote Sensing 19, 2133-2139.
38. Demarez V, Gastellu-Etchegorry P. 2000. A modelling approach for studying forest chlorophyll content. Remote Sensing of Environment 71, 226-238.
39. Demarez V, Gastellu-Etchegorry P, Mougin E, Marty G, Proisy C, Dufrene E, Le Dantec V. 1999. Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the PROSPECT model. International Journal of Remote Sensing 20, 879-894.
40. Demming-Adams B, Adams WW. 1996. The role of xanthophyll cycle carotenoids in the protection of photosynthesis. Trends in Plant Science 1, 21-27.
41. Dunn JL, Turnbull JD, Robinson SA. 2004. Comparison of solvent regimes for the extraction of photosynthetic pigments from leaves of higher plants. Functional Plant Biology 31, 195-202.
42. Elvidge CD, Chen Z. 1995. Comparison of broad-band and narrow-band red and near-infrared vegetation indices. Remote Sensing of Environment 54, 38-48.
43. Endo T, Okuda T, Tamura M, Yasuoka Y. 2000. Estimation of photosynthetic rate of plants from hyperspectral remote sensing of biochemical content. 21st Asian conference on remote sensing, December 4-8, 2000, Taipei, Taiwan. Online proceedings: http:// www.gisdevelopment.net/aars/acrs/ 2000/
44. Fang Z, Bouwkamp J, Solomos T. 1998. Chlorophyllase activities and chlorophyll degradation during leaf senescence in nonyellowing mutant and wild type of Phaseolus vulgaris L. Journal of Experimental Botany 49, 503-510.
45. Ferri CP, Formaggio AR, Schiavinato MA. 2004. Narrow band spectral indexes for chlorophyll determination in soybean canopies [Glycine max (L.) Merril]. Brazilian Journal of Plant Physiology 16, 131-136.
46. Ferwerda JG, Jones S. 2005. Continuous wavelet transformations for hyperspectral feature detection. Proceedings of the 12th international symposium on spatial data handling, 12-14 July, University of Vienna, Austria.
47. Filella I, Serrano L, Serra J, Peñuelas J. 1995. Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis. Crop Science 35, 1400-1405.
48. Fuentes DA, Gamon JA, Qui HL, Sims DA, Roberts DA. 2001. Mapping Canadian boreal forest vegetation using pigment and water absorption features derived from the AVIRIS sensor. Journal of Geophysical Research - Atmospheres 106, 33565-33577.
49. Gamon JA, Peñuelas J, Field CB. 1992. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 41, 35-44.
50. Gamon JA, Surfus JS. 1999. Assessing leaf pigment content and activity with a reflectometer. New Phytologist 143, 105-117.
51. Gan FP, Wang RS, Ma AN, Yang SM. 2002. investigation on physiological status of regional vegetation using pushbroom hyperspectral imager data. Acta Botanica Sinica 44, 983-989.
52. Ganapol BD, Johnson LF, Hammer PD, Hlavka CA, Peterson DL. 1998. LEAFMOD: a new within-leaf radiative transfer model. Remote Sensing of Environment 63, 182-193.
53. Gitelson AA, Gritz Y, Merzlyak MN. 2003. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. Journal of Plant Physiology 160, 271-282.
54. Gitelson AA, Merzlyak MN. 1997. Remote estimation of chlorophyll content in higher plant leaves. International Journal of Remote Sensing 18, 2691-2697.
55. Gitelson AA, Merzlyak MN. 2004. Non-destructive assessment of chlorophyll, carotenoids and anthocyanin content in higher plant leaves: principles and algorithms. In: Stamatiadis S, Lynch JM, Shepers JS, eds. Remote sensing for agriculture and the environment. Greece: Ella, 78-94.
56. Gitelson AA, Merzlyak MN, Chivkunova OB. 2001. Optical properties and nondestructive estimation of anthocyanin content in plant leaves. Photochemistry and Photobiology 74, 38-45.
57. Gitelson AA, Vina A, Ciganda V, Rundquist DC. 2005. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters 32, Art. No. L08403.
58. Gitelson AA, Vina A, Verma SB, Rundquist DC, Arkebauer TJ, Keydan G, Leavitt B, Ciganda V, Burba GG, Suyker AE. 2006. Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. Journal of Geophysical Research - Atmospheres 111, Art. No. DO8S11.
59. Gitelson AA, Zur Y, Chivkunova OB, Merzlyak MN. 2002. Assessing carotenoid content in plant leaves with reflectance spectroscopy. Photochemistry and Photobiology 75, 272-281.
60. Goel PK, Prasher SO, Landry JA, Patel RM, Viau AA, Miller JR. 2003. Estimation of crop biophysical parameters through airborne and field hyperspectral remote sensing. Transactions of the ASAE 46, 1235-1246.
61. 2 in red and green leaves after mechanical injury. Plant, Cell and Environment 25, 1261-1269.
62. Graps A. 1995. An introduction to wavelets. IEEE Computational Science and Engineering 2, 50-61.
63. Guan Y, Guo S, Liu J, Zhang X. 2005. Algorithms for the estimation of the concentrations of chlorophyll a and carotenoids in rice leaves from airborne hyperspectral data. Lecture Notes in Computer Science 3514, 908-915.
64. Gutierrez-Rodriguez M, Reynolds MP, Escalante-Estrada JA, Rodriguez-Gonzalez MT. 2004. Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions. Australian Journal of Agricultural Research 55, 1139-1147.
65. Haboudane D, Miller JR, Tremblay N, Zarco-Tejada PJ, Dextraze L. 2002. Integrated narrow band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment 81, 416-426.
66. Hamilton WD, Brown SP. 2001. Autumn tree colours as a handicap signal. Proceedings of the Royal Society of London B 268, 1489-1493.
67. Hansen PM, Schjoerring JK. 2003. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sensing of Environment 86, 542-553.
68. Härtel H, Grimm B. 1998. Consequences of chlorophyll deficiency for leaf carotenoids composition in tobacco synthesizing glutamate 1-semialdehyde aminotransferase antisense RNA: dependency on developmental age and growth light. Journal of Experimental Botany 49, 535-546.
69. Herold B, Truppel I, Zude M, Geyer M. 2005. Spectral measurements on 'Elstar' apples during fruit development on the tree. Biosystems Engineering 91, 173-182.
70. Huang Z, Turner BJ, Dury SJ, Wallis IR, Foley WJ. 2004. Estimating foliage nitrogen concentration from HYMAP data using continuum removal analysis. Remote Sensing of Environment 93, 18-29.
71. Inoue Y, Peñuelas J. 2001. An AOTF-based hyperspectral imaging system for field use in ecophysiological and agricultural applications. International Journal of Remote Sensing 22, 3883-3888.
72. Jacquemoud S, Bacour C, Poilve H, Frangi JP. 2000. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode. Remote Sensing of Environment 74, 471-481.
73. Jacquemoud S, Baret F. 1990. PROSPECT: a model of leaf optical properties spectra. Remote Sensing of Environment 34, 75-91.
74. Jacquemoud S, Baret F, Andrieu B, Danson FM, Jaggard K. 1995. Extraction of vegetation biophysical parameters by inversion of the PROSPECT+SAIL models on sugar-beet canopy reflectance data: application to TM and AVIRIS sensors. Remote Sensing of Environment 52, 163-172.
75. Jacquemoud S, Ustin SL, Verdebout J, Schmuck G, Andreoli G, Hosgood B. 1996. Estimating leaf biochemistry using the PROSPECT leaf optical properties model. Remote Sensing of Environment 56, 194-202.
76. Jago RA, Cutler MEJ, Curran PJ. 1999. Estimating canopy chlorophyll concentration from field and airborne spectra. Remote Sensing of Environment 68, 217-224.
77. Jones HG, Archer N, Rotenburg E, Casa R. 2003. Radiation measurement for plant ecophysiology. Journal of Experimental Botany 54, 879-889.
78. Kim MS, Daughtry CST, Chappelle EW, McMurtrey JE, Walthall CL. 1994. The use of high spectral resolution bands for estimating absorbed photosynthetically active radiation. ISPRS sixth international colloquium on physical measurements and signatures in remote sensing, Val d'Isère, France, 17-21 January 1994. European Space Agency, Paris, 299-306.
79. Kokaly RF, Clark RN. 1999. Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise linear regression. Remote Sensing of Environment 67, 267-287.
80. Kotz B, Schaepman M, Morsdorf F, Bowyer P, Itten K, Allgower B. 2004. Radiative transfer modeling within a heterogeneous canopy for estimation of forest fire fuel properties. Remote Sensing of Environment 92, 332-344.
81. Lamparter T, Hughes J, Hartmann E. 1994. A fully automated dual wavelength photometer for phytochrome measurements from chlorophyll containing extracts. Photochemistry and Photobiology 60, 79-183.
82. Landsberg JJ, Prince SD, Jarvis PG, McMurtrie RE, Luxmoore RJ, Medlyn BE. 1996. Energy conversion and use in forests: an analysis of forest production in terms of radiation utilization efficiency (ε). In: Gholz HL, Nakane K, Shimoda H, eds. The use of remote sensing in the modeling of forest productivity. Dordrecht, The Netherlands: Kluwer Academic Publishers, 273-298.
83. le Maire G, Francois C, Dufrene E. 2004. Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements. Remote Sensing of Environment 89, 1-28.
84. Lichtenthaler HK. 1987. Chlorophyll's and carotenoids: pigments of photosynthetic membranes. Methods in Enzymology 148, 350-382.
85. Lichtenthaler HK, Gitelson AA, Lang M. 1996. Non-destructive determination of chlorophyll content of leaves of a green and an aurea mutant of tobacco by reflectance measurements. Journal of Plant Physiology 148, 483-493.
86. Mariotti M, Ercoli L, Masoni A. 1996. Spectral properties of iron-deficient corn and sunflower leaves. Remote Sensing of Environment 58, 282-288.
87. Markwell J, Osterman JC, Mitchell JL. 1995. Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynethesis Research 46, 467-472.
88. Merzlyak MN, Gitelson AA, Chivkunova OB, Rakitin VY. 1999. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiologia Plantarum 106, 135-141.
89. Miller JR, Hare EW, Wu J. 1990. Quantitative characterization of the red edge reflectance. An inverted-Gaussian reflectance model. International Journal of Remote Sensing 11, 1755-1773.
90. Mittermayr CR, Tan HW, Brown SD. 2001. Robust calibration with respect to background variation. Applied Spectroscopy 55, 827-833.
91. Moran JA, Mitchell AK, Goodmanson G, Stockburger KA. 2000. Differentiation among effects of nitrogen fertilization treatments on conifer seedlings by foliar reflectance: a comparison of methods. Tree Physiology 20, 1113-1120.
92. Neill S, Gould KS. 1999. Optical properties of leaves in relation to anthocyanin concentrations and distribution. Canadian Journal of Botany 77, 1777-1782.
93. Nicotra AB, Hofman M, Siebke K, Ball MC. 2003. Spatial patterning of pigmentation in evergreen leaves in response to freezing stress. Plant, Cell and Environment 26, 1983-1904.
94. Noh H, Zhang Q, Han S, Shin B, Reum D. 2005. Dynamic calibration and image segmentation methods for multispectral imaging crop nitrogen deficiency sensors. Transactions of the American Society of Agricultural Engineers 48, 393-401.
95. O'Neill AL, Kupiec JA, Curran PJ. 2002. Biochemical and reflectance variation throughout a Sitka spruce canopy. Remote Sensing of Environment 80, 134-142.
96. Osborne SL, Schepers JS, Francis DD, Schlemmer MR. 2002. Use of spectral radiance to estimate in-season biomass and grain yield in nitrogen- and water-stressed corn. Crop Science 42, 165-171.
97. Peñuelas J, Baret F, Filella I. 1995. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance. Photosynthetica 31, 221-230.
98. Peñuelas J, Munne-Bosch S, Llusia J, Fillella I. 2004. Leaf reflectance and photo- and antioxidant protection in field-grown summer stressed Phillyrea angustifolia. Optical signals of oxidative stress? New Phytologist 162, 115-124.
99. Renzullo LJ, Blanchfield AL, Guillermin R, Powell KS, Held AA. 2006. Comparison of PROSPECT and HPLC estimates of leaf chlorophyll contents in a grapevine stress study. International Journal of Remote Sensing 27, 817-823.
100. Reum DD, Zhang Q. 2005. Wavelet-based multispectral image analysis of corn leaf chlorophyll content. Proceedings ASAE Annual International Meeting, Tampa, Florida, 17-20 July. Paper No. 053066.
101. Riano D, Valladares F, Condes S, Chuvieco E. 2004. Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests. Agricultural and Forest Meteorology 124, 269-275.
102. Richardson AD, Berlyn GP, Gregiore TG. 2001. Spectral reflectance of Picea rubens (Pinaceae) and Abies balsamea (Pinaceae) needles along an elevational gradient, Mt. Moosilauke, New Hampshire, USA. American Journal of Botany 88, 667-676.
103. Richardson AD, Duigan SP, Berlyn GP. 2002. An evaluation of non-invasive methods to estimate foliar chlorophyll content. New Phytologist 153, 185-194.
104. Sari M, Sonmez NK, Kurklu A. 2005. Determination of seasonal variations in solar energy utilization by the leaves of Washington navel orange trees (Citrus sinensis L. Osbeck). International Journal of Remote Sensing 26, 3295-3307.
105. Sampson PH, Mohammed GH, Zarco-Tejada PJ, Miller PJ, Noland TL, Irving D, Treitz PM, Colombo SJ, Freemantle J. 2000. The bioindicators of forest condition project: a physiological remote sensing approach. Forestry Chronicle 76, 941-952.
106. Sampson PH, Zarco-Tejada PJ, Mohammed GH, Miller JR, Noland TL, Fleming RL. 2003. Hyperspectral remote sensing of forest condition: estimation of chlorophyll content in tolerant hardwoods. Forest Science 49, 381-391.
107. Schepers JS, Blackmer TM, Wilhelm WW, Resende M. 1996. Transmittance and reflectance measurements of corn leaves from plants with different nitrogen and water supply. Journal of Plant Physiology 148, 523-529.
108. Sims DA, Gamon JA. 2002. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment 81, 337-354.
109. Smith KL, Steven MD, Colls JJ. 2004. Use of hyperspectral derivative ratios in the red edge region to identify plant stress responses to gas leaks. Remote Sensing of Environment 92, 207-217.
110. Solberg S, Næsset E, Aurdal L, Lange H, Bollandsås OM, Solberg R. 2005. Remote sensing of foliar mass and chlorophyll as indicators of forest health: preliminary results from a project in Norway. In: Olsson H, ed. Proceedings of ForestSat 2005, Borås, 31 May-3 June, 105-109.
111. Steyn WJ, Wand SJE, Holcroft DM, Jacobs G. 2002. Anthocyanins in vegetative tissues: a proposed unified function in photo-protection. New Phytologist 155, 349-361.
112. Sunshine JM, Pieters CM. 1993. Estimating modal abundances from the spectra of natural and laboratory pyroxene mixtures using the modified Gaussian model. Journal of Geophysical Research 98, 9075-9087.
113. Thenkabail PS, Smith RB, De Pauw E. 2002. Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization. Photogrammetric Engineering and Remote Sensing 68, 607-621.
114. Tumbo SD, Wagner DG, Heinemann PH. 2002. Hyperspectral-based neural network for predicting chlorophyll status in corn. Transactions of the ASAE 45, 825-832.
115. Ustin SL, Roberts DA, Gamon JA, Asner GP, Green RO. 2004. Using imaging spectroscopy to study ecosystem properties and processes. Bioscience 54, 523-534.
116. Vogelman JE, Rock BN, Moss DM. 1993. Red edge spectral measurements from sugar maple leaves. International Journal of Remote Sensing 14, 1563-1575.
117. Wang ZJ, Wang JH, Liu LY, Huang WJ, Zhao CJ, Wang CZ. 2004. Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR). Field Crops Research 90, 311-321.
118. Weiss M, Baret F, Myneni RB, Pragnere A, Knyazikhin Y. 2000. Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data. Agronomie 20, 3-22.
119. Yamada N, Fujimura S. 1991. Nondestructive measurement of chlorophyll pigment content in plant leaves from three-color reflectance and transmittance. Applied Optics 30, 3964-3973.
120. Yao HB, Tian L. 2003. A genetic algorithm-based selective principal component analysis (GA-SPCA) method for high-dimensional data feature extraction. IEEE Transactions on Geoscience and Remote Sensing 41, 1469-1478.
121. Yoder BJ, Pettigrew-Crosby RE. 1995. Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400-2500 nm) at leaf and canopy scales. Remote Sensing of Environment 53, 199-211.
122. Young A, Britton G. 1990. Carotenoids and stress. In: Alscher RG, Cumming JR, eds. Stress responses in plants: adaptation and acclimation mechanisms. New York: Wiley-Liss, 87-112.
123. Zarco-Tejada PJ, Berjón A, López-Lozano R, Miller JR, Martín P, Cachorro V, González MR, Frutos A. 2005a. Assessing vineyard condition with hyperspectral indices: leaf and canopy reflectance simulation in a row-structured discontinuous canopy. Remote Sensing of Environment 99, 271-287.
124. Zarco-Tejada PJ, Miller JR, Harron J, Hu B, Noland TL, Goel N, Mohammed GH, Sampson PH. 2004a. Needle chlorophyll content estimation through model inversion using hyperspectral data from boreal conifer forest canopies. Remote Sensing of Environment 89, 189-199.
125. Zarco-Tejada PJ, Miller JR, Mohammed GH, Noland TL, Sampson PH. 2001. Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing 39, 1491-1507.
126. Zarco-Tejada PJ, Miller JR, Morales A, Berjón A, Agüera J. 2004b. Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops. Remote Sensing of Environment 90, 463-476.
127. Zarco-Tejada PJ, Pushnik JC, Dobrowski S, Ustin SL. 2003. Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects. Remote Sensing of Environment 84, 283-294.
128. Zarco-Tejada PJ, Ustin SL, Whiting ML. 2005b. Temporal and spatial relationships between within-field yield variability in cotton and high-spatial hyperspectral remote sensing imagery. Agronomy Journal 97, 641-653.
129. Zhao D, Reddy KR, Kakani VG, Read JJ, Carter GA. 2003. Corn (Zea mays L.) growth, leaf pigment concentration, photosynthesis and leaf hyperspectral reflectance properties as affected by nitrogen supply. Plant and Soil 257, 205-217.
130. Zhao D, Reddy KR, Kakani VG, Read JJ, Koti S. 2005. Selection of optimum reflectance ratios for estimating leaf nitrogen and chlorophyll concentrations of field-grown cotton. Agronomy Journal 97, 89-98.
131. Zillmann E, Graeffa S, Linka J, Batchelorb WD, Claupeina W. 2006. Assessment of cereal nitrogen requirements derived by optical on-the-go sensors on heterogeneous soils. Agronomy Journal 98, 682-690.