Effects of adaxial and abaxial surface on the estimation of leaf chlorophyll content using hyperspectral vegetation indices

International Journal of Remote Sensing

Volumn 36, Issue 5, 2015, Pages 1447-1469

  Lu, Xingtong ^a   Lu, Shan ^a  

^a NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; CHLOROPHYLL; REFLECTION; REGRESSION ANALYSIS; VALUE ENGINEERING;

CHLOROPHYLL CONTENTS; HYPERSPECTRAL VEGETATION INDICES; LEAF CHLOROPHYLL CONTENT; NONDESTRUCTIVE ASSESSMENT; REFLECTANCE SPECTRUM; SPECTRAL REFLECTANCES; STATISTICAL RELATIONSHIP; STRUCTURAL DIFFERENCES;

VEGETATION;

CHLOROPHYLL; ESTIMATION METHOD; IMAGE ANALYSIS; LEAF; REGRESSION ANALYSIS; SPECTRAL ANALYSIS; VEGETATION INDEX;

POPULUS ALBA; ULMUS PUMILA;

EID: 84938377505     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2015.1012277     Document Type: Article

References (30)

1. M.L.Adams,, W.D.Philpot, and W.A.Norvell. 1999. “Yellowness Index: An Application of Spectral Second Derivatives to Estimate Chlorosis of Leaves in Stressed Vegetation.” International Journal of Remote Sensing 20 (18): 3663–3675. doi:10.1080/014311699211264.
2. ASD. 2010. FieldSpec® 3 User Manual. Boulder, CO: Analytical Spectral Devices.
3. G.A.Blackburn, 1998a. “Quantifying Chlorophylls and Carotenoids at Leaf and Canopy Scales: An Evaluation of Some Hyperspectral Approaches.” Remote Sensing of Environment 66 (3): 273–285. doi:10.1016/S0034-4257(98)00059-5.
4. G.A.Blackburn, 1998b. “Spectral Indices for Estimating Photosynthetic Pigment Concentrations: A Test Using Senescent Tree Leaves.” International Journal of Remote Sensing 19 (4): 657–675. doi:10.1080/014311698215919.
5. E.W.Chappelle,, M.S.Kim, and J.E.McMurtrey Iii. 1992. “Ratio Analysis of Reflectance Spectra (RARS): An Algorithm for the Remote Estimation of the Concentrations of Chlorophyll A, Chlorophyll B, and Carotenoids in Soybean Leaves.” Remote Sensing of Environment 39 (3): 239–247. doi:10.1016/0034-4257(92)90089-3.
6. P.J.Curran,, W.R.Windham, and H.L.Gholz. 1995. “Exploring the Relationship between Reflectance Red Edge and Chlorophyll Concentration in Slash Pine Leaves.” Tree Physiology 15 (3): 203–206. doi:10.1093/treephys/15.3.203.
7. B.Datt, 1998. “Remote Sensing of Chlorophyll A, Chlorophyll B, Chlorophyll A + B, and Total Carotenoid Content in Eucalyptus Leaves.” Remote Sensing of Environment 66 (2): 111–121. doi:10.1016/S0034-4257(98)00046-7.
8. B.Datt, 1999. “Visible/Near Infrared Reflectance and Chlorophyll Content in Eucalyptus Leaves.” International Journal of Remote Sensing 20 (14): 2741–2759. doi:10.1080/014311699211778.
9. A.A.Gitelson,, Y.Gritz, and M.N.Merzlyak. 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 (3): 271–282. doi:10.1078/0176-1617-00887.
10. A.A.Gitelson,, and M.N.Merzlyak. 1994. “Spectral Reflectance Changes Associated with Autumn Senescence of Aesculus hippocastanum L. and Acer platanoides L. Leaves. Spectral Features and Relation to Chlorophyll Estimation.” Journal of Plant Physiology 143 (3): 286–292. doi:10.1016/S0176-1617(11)81633-0.
11. A.A.Gitelson,, and M.N.Merzlyak. 1996. “Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll.” Journal of Plant Physiology 148 (3–4): 494–500. doi:10.1016/S0176-1617(96)80284-7.
12. M.G.Holmes,, and D.R.Keiller. 2002. “Effects of Pubescence and Waxes on the Reflectance of Leaves in the Ultraviolet and Photosynthetic Wavebands: A Comparison of a Range of Species.” Plant, Cell and Environment 25 (1): 85–93. doi:10.1046/j.1365-3040.2002.00779.x.
13. E.Levizou,, P.Drilias, G.K.Psaras, and Y.Manetas. 2005. “Nondestructive Assessment of Leaf Chemistry and Physiology through Spectral Reflectance Measurements May Be Misleading When Changes in Trichome Density Co-Occur.” New Phytologist 165 (2): 463–472. doi:10.1111/j.1469-8137.2004.01250.x.
14. H.K.Lichtenthaler,, A.Gitelson, and M.Lang. 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 (3–4): 483–493. doi:10.1016/S0176-1617(96)80283-5.
15. G.Mackinney, 1941. “Absorption of Light by Chlorophyll.” The Journal of Biological Chemistry 140: 315–322.
16. J.Markwell,, J.C.Osterman, and J.L.Mitchell. 1995. “Calibration of the Minolta SPAD-502 Leaf Chlorophyll Meter.” Photosynthesis Research 46 (3): 467–472. doi:10.1007/BF00032301.
17. O.Mutanga,, and A.K.Skidmore. 2007. “Red Edge Shift and Biochemical Content in Grass Canopies.” ISPRS Journal of Photogrammetry and Remote Sensing 62: 34–42. doi:10.1016/j.isprsjprs.2007.02.001.
18. J.Penuelas,, J.A.Gamon, A.L.Fredeen, J.Merino, and C.B.Field. 1994. “Reflectance Indices Associated with Physiological Changes in Nitrogen- and Water-Limited Sunflower Leaves.” Remote Sensing of Environment 48 (2): 135–146. doi:10.1016/0034-4257(94)90136-8.
19. A.D.Richardson,, and G.P.Berlyn. 2002. “Spectral Reflectance and Photosynthetic Properties of Betula papyrifera (Betulaceae) Leaves along an Elevational Gradient on Mt. Mansfield, Vermont, USA.” American Journal of Botany 89 (1): 88–94. doi:10.3732/ajb.89.1.88.
20. A.D.Richardson,, S.P.Duigan, and G.P.Berlyn. 2002. “An Evaluation of Noninvasive Methods to Estimate Foliar Chlorophyll Content.” New Phytologist 153 (1): 185–194. doi:10.1046/j.0028-646X.2001.00289.x.
21. L.Serrano, 2008. “Effects of Leaf Structure on Reflectance Estimates of Chlorophyll Content.” International Journal of Remote Sensing 29 (17–18): 5265–5274. doi:10.1080/01431160802036359.
22. M.R.Slaton,, E.R.HuntJr, and W.K.Smith. 2001. “Estimating Near-Infrared Leaf Reflectance from Leaf Structural Characteristics.” American Journal of Botany 88 (2): 278–284. doi:10.2307/2657019.
23. W.K.Smith,, T.C.Vogelmann, E.H.DeLucia, D.T.Bell, and K.A.Shepherd. 1997. “Leaf Form and Photosynthesis: Do Leaf Structure and Orientation Interact to Regulate Internal Light and Carbon Dioxide?” BioScience 47 (11): 785–793. doi:10.2307/1313100.
24. M.Takebe,, and T.Yoneyama. 1989. “Measurement of Leaf Color Scores and Its Implication to Nitrogen Nutrition of Rice Plants.” Japan Agricultural Research Quarterly 23 (2): 86–93.
25. Y.Tian,, X.Yao, J.Yang, W.Cao, D.B.Hannaway, and Y.Zhu. 2011. “Assessing Newly Developed and Published Vegetation Indices for Estimating Rice Leaf Nitrogen Concentration with Ground- and Space-Based Hyperspectral Reflectance.” Field Crops Research 120 (2): 299–310. doi:10.1016/j.fcr.2010.11.002.
26. J.E.Vogelmann,, B.N.Rock, and D.M.Moss. 1993. “Red Edge Spectral Measurements from Sugar Maple Leaves.” International Journal of Remote Sensing 14: 1563–1575. doi:10.1080/01431169308953986.
27. C.W.Wood,, D.W.Reeves, and D.G.Himelrick. 1993. “Relationships between Chlorophyll Meter Readings and Leaf Chlorophyll Concentration, N Status, and Crop Yield: A Review.” Proceedings of the Agronomy Society of New Zealand 23: 1–9.
28. P.J.Zarco-Tejada,, J.R.Miller, T.L.Noland, G.H.Mohammed, and P.Sampson. 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. doi:10.1109/36.934080.
29. H.Zhang,, K.J.Voss, R.P.Reid, and E.M.Louchard. 2003. “Bidirectional Reflectance Measurements of Sediments in the Vicinity of Lee Stocking Island, Bahamas.” Limnology and Oceanography 48 (1, part 2): 380–389. doi:10.4319/lo.2003.48.1_part_2.0380.
30. Y.Zhu,, D.Zhou, X.Yao, Y.Tian, and W.Cao. 2007. “Quantitative Relationships of Leaf Nitrogen Status to Canopy Spectral Reflectance in Rice.” Crop and Pasture Science 58 (11): 1077–1085. doi:10.1071/AR06413.