International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
the technique to spectral derivatives and for quantifying other 
plant. biochemicals in addition to photosynthetic pigments. 
5. REFERENCES 
Blackburn, 1998a, Spectral indices for estimating 
photosynthetic pigment concentrations: a test using senescent 
tree leaves. Int. J. Remote Sens. 19, 657-675. 
Blackburn, 1998b, Quantifying chlorophylls and carotenoids 
from leaf to canopy scales: An evaluation of some hyper- 
spectral approaches. Remote Sens. Environ. 66, 273-285. 
Blackburn, 1999, Relationships between spectral reflectance 
and pigment concentrations in stacks of broadleaves. Remote 
Sens. Environ. 70, 224-237. 
Blackburn, 2002, Remote sensing of forest pigments using 
airborne imaging spectrometer and LIDAR imagery. Remote 
Sens. Environ. 82, 311-321. 
Blackburn & Steele, 1999, Towards the remote sensing of 
matorral vegetation physiology: relationships between spectral 
reflectance, pigment and biophysical... R. S. Environ. 70. 
Broge & Mortensen, 2002, Deriving green crop area index and 
canopy chlorophyll density of winter wheat from spectral 
reflectance data. Remote Sens. Environ. 81, 45-57. 
Bruce & Li, 2001, Wavelets for computationally efficient 
hyperspectral derivative analysis. IEEE Trans. Geosci. Remote 
Sens. 39, 1540-1546. 
Cai et al, 2001, Enhanced chemical classification of raman 
images using multiresolution wavelet transformation. Applied 
Spectroscopy 55, 1124-1130. 
Carter & Knapp, 2001, Leaf optical properties in higher plants: 
linking spectral characteristics to stress &  chlorophyll 
concentration. Am.J. Bot. 88, 677-684. 
Curran et al, 2001, Estimating the foliar biochemical 
concentration of leaves with reflectance spectrometry. Remote 
Sens. Environ. 76, 349-359. 
Filella et al, 1995, Evaluating wheat nitrogen status with 
canopy reflectance indices and discrimingtion analysis. Crop 
Science 35, 1400-1405. 
Gitelson ef al, 2002, Assessing carotenoid content in plant 
leaves with reflectance spectroscopy. Photochem. Photobiol. 
75, 272-281. 
Gross, J., 1991, Pigments in Vegetables: Chlorophylls and 
Carotenoids. New York: Van Nostrand Reinhold. 
Haboudane er al., 2002, Integrated narrow band vegetation 
indices for prediction of crop chlorophyll content for 
application to precision agriculture. R. S. Environ. 81, 416-426. 
Huang et al, 2001, Effects of crop cover residue on 
hyperspectral reflectance discrimination of soybean and weeds 
via Haar transform. Proc. IGARSS, 1276-1278. 
Kim et al., 1994, The use of high spectral resolution bands for 
estimating APAR. ISPRS 6" Int. Coll. Phys. Meas. Signatures 
Remote Sens. 299-306. 
Kokaly & Clark, 1999, Spectroscopic determination of leaf 
biochemistry using band-depth analysis of absorption features 
.... Remote Sens. Environ. 67, 267-287. 
McNulty & Mauze, 1998, Wavelet analysis for determining 
glucose concentrations of aqueous solutions using NIR 
spectroscopy. Proc. Biomedical Optics '98. 
Mittermayr ef al., 2001, Robust calibration with respect to 
background variation. Applied Spectroscopy 55, 827-833. 
Pefiuelas et al, 1995, Semi-empirical indices to assess 
carotenoids/chlorophyll a ratio from leaf spectral reflectance. 
Photosynthetica, 31, 221-230. 
Richardson et al., 2002, An evaluation of non-invasive methods 
to estimate foliar chlorophyll content. New Phytologist 153, 
185-194. 
Sims & Gamon, 2002, Relationships between leaf pigment 
content & spectral reflectance across a wide range of species, 
leaf structures & developmental stages. R.S. Environ. 81. 
Strang & Nguyen, 1996, Wavelets and Filter Banks. Wellesley- 
Cambridge Press, Wellesley, MA. 
Tarpley et al., 2000, Reflectance indices with precision and 
accuracy in predicting cotton leaf nitrogen concentration. Crop 
Science 40, 1814-1819. 
Weiss et al., 2000, Investigation of a model inversion technique 
to estimate canopy biophysical variables from spectral & 
directional reflectance data. Agronomie 20, 3-22. 
Young & Britton, 1990, Carotenoids and stress. In: Stress 
Responses in Plants: Adaptation and Acclimation Mechanisms. 
Alscher & Cumming (eds.) Wiley, 87-112. 
Zarco-Tejada ef al. 2001, Scaling-up and model inversion 
methods with narrow band optical indices for chlorophyll 
content estimation ... /EEE Trans. Geosci. & RS. 39. 
882 
^ O- Yu De o ome Pe 
Un m oM 09 (C 00 AY ed FN PN 09 8 Cc» r^^ 
— as