Abstract
Estimation of the nitrogen status of plants provides key information for optimum management of fertilizer applications to crops as reviewed in Chapters 9 and 11 (this Vol.). Most of the techniques currently used are based on plant sampling, generally using the biochemical composition of plant tissues and mainly nitrogen concentration. These techniques are generally tedious, time-consuming, destructive, and thus cannot not be repeated many times for a more representative evaluation of the canopy nitrogen status in a field or amongst fields of a given area.
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References
Badhwar GD (1984) Automatic corn-soybean classification using Landsat MSS data. II Early season crop proportion estimation.Remote Sens Environ 14:31,37
Baret F (1994) Use of reflectance spectral variation to retrieve canopy biophysical characteristics. In: Danson FMPlummer SE (eds) Advances in environmental remote sensing. John Wiley, Chichester, pp 33–51
Baret F, Andrieu B (1994) Interêt du moyen infrarouge pour caracteriser la végétation. Bull Soc Fr Photogramm Teledetect 136(4)8–22
Baret F, Fourty T (1996) Spectral estimates of leaf water content and specific weight. Remote Sens Environ (Submitted)
Baret F, Guyot G (1991) Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens Environ 35(2-3):161–173
Baret F, Champion I, Guyot G, Podaire A (1987) Monitoring wheat canopies with high spectral resolution radiometer. Remote Sens Environ 22(3)367–378
Baret F, Andrieu B, Guyot G (1988) A simple model for leaf optical properties in the visible and near infrared: application to the analysis of spectral shifts determinism. In: Lichtenthaler HK (ed) Applications of chlorophyll fluorescence.Kluwer,Dordrecht, pp 345–351
Baret F, Jacquemoud S, Guyot G, Leprieur C (1992) Modelled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands. Remote Sens Environ 41:133–142
Benedict HM, Swilder R (1961) Non destructive method for estimating chlorophyll content of leaves. Science 133:2015–2016
Boochs F, Kupfer G, Dockter K, Kubaush K (1990) Shape of the red edge as vitality indicator for plants. Int J Remote Sens 11(10)1741,1753
Breece HT, Holmes RA (1971) Bidirectional scattering characteristics of healthy green soybeans and corn leaves in vivo. Appl Optics 10(1)119–127
Chang SH, Collins W (1983) Confirmation of the airborne biogeophysical mineral exploration technique using laboratory methods. Econ Geol 78:723–736
Collins W, Chang SH, Raines G, Canney F, Ashley R (1983) Airborne biogeophysical mapping of hidden mineral deposits. Econ Geol 78:737–749
Curcio J A, Petty CC (1951) The near infrared absorption spectrum of liquid water. J Opt Soc Am 41(5)302–304
Curran PJ (1989) Remote sensing of foliar chemistry. Remote Sens Environ 30:271–278
Dardenne P (1990) Contribution àl’utilisation de la spectrométrie dans l’infrarouge pour l’étude de critères de qualité des céréales et des fourrages. Faculté des Sciences Agronomiques, Gembloux, pp 1–173
Dardenne P, Sinnaeve G, Biston R, Lecomte P (1991) Evaluation of NIT for predicting fresh forage quality. 4th Int NIRS Conf, Aberdeen
Demetriades-Shah TH, Steven MD (1988) High spectral resolution indices for monitoring crop growth and chlorosis. 4th Int Colloq Spectral signatures of objects in remote sensing, 18-22 Jan, Aussois, ESA SP-287
Demetriades-Shah TH, Steven MD, Clark JA (1990) High resolution derivative spectra in remote sensing. Remote Sens Environ 33:55–64
deRosny G, Vanderhaghen R, Baret F, Equer B, Frangi JP (1995) A device for in situ measurements of leaf chlorophyll and carotenoid concentrations. In: Guyot G (ed)Photosynthesis and remote sensing. EARSel,Paris
Ercoli L, Mariotti M, Masoni A, Massantini F (1993) Relationship between nitrogen and chlorophyll content and spectral properties in maize leaves. Eur J Agron 2(2)113–117
Evans JR (1989) Photosynthesis and nitrogen relationships in leaves of C3 plants. Oecologia 78: 9–19
Field C, Mooney HA (1986) The photosynthesis-nitrogen relationship in wild plants. In: Givnich TV (ed) On the economy of plant form and function. Cambridge University Press, New York, pp 25–55
Fourty T, Baret F (1996) Biochemical composition estimates from fresh leaf near infrared transmittance or reflectance spectra using the stepwise regression. Effect of the instrumental noise. Remote Sens Environ (Submitted)
Fourty T, Baret F, Jacquemoud S, Schmuck G, Verdebout J (1996) Leaf optical properties with explicite 226 F. Baret and Th. Fourty description of its biochemical composition: direct and inverse problems.Remote Sens Environ 56:104–117
Green RO, Conel JE, Bregge CJ, Margolis JS, Carrere V, Vane G, Hoover G (1992) In-Flight calibration of the spectral and radiometric characteristics of AVIRIS in 1991. 3rd Annu JPL Airborne Geoscience Worksh, 1-2 June, Pasadena
Grossman YL, Ustin SL, Jacquemoud S, Sanderson E, Schmuck G, Verdebout J (1995) Critique of stepwise linear regression for the extraction of leaf biochemistry information from leaf reflectance data. Remote Sens Environ 56:182–193
Hardacre AK, Nicolson HF, Boyce MLP (1984) A portable photometer for the measurement of chlorophyll in intact leaves. NZJ Exp Agric 12:357–362
Hardwick K, Baker NR (1973) In vivo measurement of Chlorophyll content of leaves. New Phytol 72:51–54
Hosgood B, Jacquemoud S, Andreoli G, Verdebout J, Pedrini G, Schmuck G (1995) Leaf optical properties experiment 93 (LOPEX93). European Commission, Joint Research Center, Institute of Remote Sensing Applications, Ispra, Italy
Hruschka WR (1987) Data analysis: wavelength selection methods. Williams PC Norris KH Near infrared technology in the agricultural and food industries. Chap 3, American Association of Cereal Chemists, St Paul
Jacquemoud S (1993) Inversion of the PROSPECT + SAIL canopy reflectance model from AVIRIS equivalent spectra: theoretical study. Remote Sens Environ 44:281–292
Jacquemoud S, Baret F (1990) PROSPECT: a model of leaf optical properties spectra. Remote Sens Environ 34:75–91
Jacquemoud S, Baret F, Andrieu B, Danson M, Jaggard K (1995) Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL model on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors. Remote Sens Environ 52:163–172
Macnicol PK, Dudzinski ML, Condon BN (1976) Estimation of chlorophyll in tobacco leaves by direct photometry. Ann Bot 40:143–152
Malthus TJ (1990) Anglo-French collaborative reflectance experiment. Experiment I, Broom’s Barn Experimental Station, July 1989. INRA bioclimatologie, BP 91, 84143 Montfavet France
Markham BL, Barker JL (1985) Spectral characteristics of the LANDS AT Thematic Mapper sensors. Int J Remote Sens 6(5)597–716
Marten GC, Shenk JS, Barton FE (1989) Near infrared reflectance spectroscopy (NIRS): analysis of forage quality, vol 643. US Department of Agriculture Handbook,Washington, DC, pp 1–96
Miller JR, Hare EW, Neville RA, Gauthier RP, McColl D, Till SM (1985) Correlation of metal concentration with anomalies in narrow band multispectral imagery of the vegetation red reflectance edge. 4th Int Symp Remote sensing of environment, 1-4 April, San Francisco
Miller JR, Hare EW, Wu J (1990) Quantitative characterization of the vegetation red edge reflectance. 1. An inverted-gaussian model. Int J Remote Sens 11(10)1755–1773
Milton NM, Mouat DA (1989) Remote sensing of vegetation responses to natural and cultural environmental conditions. Photogramm Engin Remote Sens 55(8)1167–1173
Minolta Camera Co (1991) Manual for chlorophyll meter SPAD-502. Minolta Camera, Osake
Peng S, Garcia FV, Laza RC, Cassman KG (1993) Adjustment for specific leaf weight improves chlorophyll meter’s estimate of rice leaf nitrogen concentration. Agron J 85:987–990
Penuelas J, Filella I, Baret F (1994) Semi-empirical indices to assess carotenoids/chlorophyll ratio from leaf spectral reflectance. Photosynthetica 31(2)221–230
Rock BN, Miller JR, Moss DM, Freemantle JR, Boyer MJ (1990) Spectral characterization of forest damage occurring on Whiteface Mountain (NY) - studies with the fluorescence line imager (FLI) and ground-based spectrometers. In: Proc SPIE Conf, Technical Symp on Optical engineering and photonics in aerospace sensing, 16-20 April, Orlando. Imaging spectroscopy of the terrestrial environment, SPIE 1298, pp 190–201
Rummelhart DE, Hinton GE, Williams RJ (1986) Learning internal representations by error propagation. In: Rummelhart DMc Clelland J (eds) Parallel data processing, vol 1. MIT Press, Cambridge, pp 318–362
Spomer LA, Smith MAL, Sawwan JS (1988) Rapid nondestructive measurement of chlorophyll content in leaves with nonuniform chlorophyll distribution. Photosynth Res 16:277–284
Turner FT, Jund MF (1991) Chlorophyll meter to predict nitrogen topdress requirement for semidwarf rice. Agron J 83:926–928
Verhoef W (1984) Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sens Environ 16:125–141
Verhoef W (1985) Earth observation modeling based on layer scattering matrices. Remote Sens Environ 17:165–178
Wallihan EF (1973) Portable reflectance meter for estimating chlorophyll concentrations in leaves. Agron J 65:659–662
Williams PC, Norris KH (1987) Near infrared technology in agricultural and food industries. American Association of Cereal Chemists, St Paul, 330 pp
Yadava VL (1986) A rapid non-destructive method to determine chlorophyll in intact leaves. Hortic Sci 21(6)1449–1450
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Baret, F., Fourty, T. (1997). Radiometric Estimates of Nitrogen Status of Leaves and Canopies. In: Lemaire, G. (eds) Diagnosis of the Nitrogen Status in Crops. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60684-7_12
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DOI: https://doi.org/10.1007/978-3-642-60684-7_12
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