Wheat and maize monitoring based on ground spectral measurements and multivariate data analysis

Journal of Applied Remote Sensing

Volumn 1, Issue 1, 2007, Pages

  Pimstein, Agustin ^a   Karnieli, Arnon ^a   Bonfir, David J ^b  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b VOLCANI CENTER   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; DATA HANDLING; INFORMATION ANALYSIS; LEAST SQUARES APPROXIMATIONS; REMOTE SENSING; SPECTROSCOPIC ANALYSIS;

BIO-PHYSICAL VARIABLES; HYPERSPECTRAL REMOTE SENSING DATA; IRRIGATION TREATMENTS; MULTIVARIATE DATA ANALYSIS; PARTIAL LEAST SQUARES MODELS; PREDICTION ACCURACY; SITE-SPECIFIC CROP MANAGEMENT; SPECTRAL MEASUREMENT;

MULTIVARIANT ANALYSIS;

EID: 52649128369     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.2784799     Document Type: Article

References (43)

1. R. E. Plant, "Site-specific management: the application of information technology to crop production," Comput. Electron. Agric, 30, 9-29 (2001) [doi: 10.1016/S0168-1699(00)00152-6].
2. N. Aparicio, D. Villegas, J. L. Araus, J. Casadesus, and C. Royo, "Relationship between growth traits and spectral vegetation indices in Durum Wheat," Crop Sci., 42, 1547-1555 (2002).
3. C. Buschmann and E. Nagel, "In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation," Int. J. Remote Sens., 14, 711-722 (1993).
4. P.M. Hansen and J. K. Schjoerring, "Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression," Remote Sens. Environ., 86, 542-553 (2003) [doi:10.1016/S0034-4257(03)00131-7].
5. F. Baret and G. Guyot, "Potentials and limits of vegetation indices for LAI and APAR assessment," Remote Sens. Environ., 35, 161-173 (1991) [doi:10.1016/0034-4257(91)90009-U].
6. P. Hansen, J. Jorgensen, and A. Thomsen, "Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression," J. Agric. Sci., 139, 307-318 (2002) [doi: 10.1017/S0021859602002320].
7. H. T. Nguyen and B.-W. Lee, "Assessment of rice leaf growth and nitrogen status by hyperspectral canopy reflectance and partial least square regression," Eur. J. Agron., 24, 349-356 (2006).
8. N. C. Coops, M. L. Smith, M. E. Martin, and S. V. Ollinger, "Prediction of eucalypt foliage nitrogen content from satellite-derived hyperspectral data," IEEE Trans. Geosci. Remote Sens., 41, 1338-1346 (2003) [doi:10.1109/TGRS.2003.813135].
9. P. A. Townsend, J. R. Foster, R. A. Chastain, and W. S. Currie, "Application of imaging spectroscopy to mapping canopy nitrogen in the forests of the central Appalachian Mountains using Hyperion and AVIRIS," IEEE Trans. Geosci. Remote Sens., 41, 1347-1354 (2003) [doi:10.1109/TGRS.2003.813205].
10. M. L. Smith, S. V. Ollinger, M. E. Martin, J. D. Aber, R. A. Hallett, and C. L. Goodale, "Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen," Ecol. Appl., 12, 1286-1302 (2002) [doi: 10.2307/3099972].
11. S. Wold, M. Sjostrom, and L. Eriksson, "PLS-regression: a basic tool of chemometrics," Chemometr. Intell. Lab., 58, 109-130 (2001) [doi:10.1016/S0169-7439(01)00155-1].
12. K. Esbensen, Multivariate Data Analysis - In Practice, pp. 598, CAMO, Corvallis, Norway, Oslo (2000).
13. J. S. Shenk and M. O. Westerhaus, "New standardization and calibration procedures for NIRS analytical systems," Crop Sci., 31, 1694-1696 (1991).
14. C. G. Boeriu, D. Bravo, R. J. A. Gosselink, and J. E. G. van Dam, "Characterisation of structure-dependent functional properties of lignin with infrared spectroscopy," Ind. Crop Prod, 20, 205-218 (2004) [doi: 10.1016/j.indcrop.2004.04.022].
15. E. M. Faergestad, N. E. S. Flaete, E. M. Magnus, K. Hollung, H. Martens, and A. K. Uhlen, "Relationships between storage protein composition, protein content, growing season and flour quaility of bread wheat," J. Sci. Food Agric., 84, 877-886 (2004) [doi:10.1002/jsfa.1615].
16. S. E. Kays, N. Shimizu, F. E. Barton, and K. Ohtsubo, "Near-infrared transmission and reflectance spectroscopy for the determination of dietary fiber in barley cultivars," Crop Sci., 45, 2307-2311 (2005) [doi:10.2135/cropsci2005.0013].
17. A. D. Richardson, J. B. Reeves, and T. G. Gregoire, "Multivariate analyses of visible/near infrared (VIS/MR) absorbance spectra reveal underlying spectral differences among dried, ground conifer needle samples from different growth environments,"New Phytol., 161, 291-301 (2004) [doi:10.1046/j.1469-8137.2003.00913.x].
18. D. J. Bonfil, A. Karnieli, M. Raz, I. Mufradi, S. Asido, H. Egozi, A. Hoffman, and Z. Schmilovitch, "Rapid assessing water and nitrogen status in wheat flag leaves," J. Food Agric. Env., 3, 207-212 (2005).
19. J. R. Jensen, Remote Sensing of the Environment - An Earth Resource Perspective, pp. 544, Prentice-Hall Inc., Upper Saddle River, NJ (2000).
20. C. S. T. Daughtry, C. L. Walthall, M. S. Kim, E. B. de Colstoun, and J. E. McMurtreyIII, "Estimating Com Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance," Remote Sens. Environ., 74, 229-239 (2000) [doi:10.1016/S0034-4257(00)00113-9].
21. D. J. Bonfil, I. Mufradi, S. Klitman, and S. Asido, "Wheat grain yield and soil profile water distribution in a no-till arid environment," Agron. J., 91, 368-373 (1999).
22. ASD, "Analytical Spectral Devices, Inc," pp., Boulder, CO (2002).
23. C. S. T. Daughtry, V. C. Vanderbilt, and V. J. Pollara, "Variability of reflectance measurements with sensor altitude and canopy type," Agron. J., 74, 744-751 (1982).
24. J. B. Jones and V. W. Case, "Sampling, handling, and analyzing plant tissue samples," in Soil Testing and Plant Analysis, R. L. Westerman, Ed., 3rd ed, pp. 389-427, SSSA, Inc., Madison, WI (1990).
25. I. Decagon Devices, "AccuPAR PAR/LAI ceptometer, model LP-80. Operator's manual," pp. 97, Pullman, WA (2003).
26. CAMO, "The Unscrambler Multivariate Data Analysis software," 8.0 ed, pp., CAMO Process AS, Oslo, Norway (2003).
27. H. Martens, M. Hoy, F. Westad, D. Folkenberg, and M. Martens, "Analysis of designed experiments by stabilised PLS regression and jack-knifing," Chemometr. Intell. Lab., 58, 151-170 (2001) [doi:10.1016/S0169-7439(01)00157-5].
28. H. Martens and M. Martens, "Modified jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR)," Food Qual. Prefer., 11, 5-16 (2000) [doi:10.1016/S0950-3293(99)00039-7].
29. J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering, "Monitoring vegetation systems in the Great Plains with ERTS," presented at Third Earth Resources Technology Satellite-1 Symposium, Greenbelt (1974).
30. A. A. Gitelson, Y. J. Kaufman, and M. N. Merzlyak, "Use of a Green Channel in Remote Sensing of Global Vegetation from EOS-MODIS," Remote Sens. Environ., 58, 289-298 (1996).
31. P. Chamard, M. F. Courel, M. Ducousso, M. C. Guenegou, J. Le Rhun, J. E. Levasseur, C. Loisel, and M. Togola, "Utilisation des bandes spectrales du vert et du rouge pour une meilleure evaluation des formation vegetales actives," Les presses de l'universite du quebec, 203-209 (1993).
32. G. S. Birth and G. McVey, "Measuring the color of growing turf with a reflectance spectrophotometer," Agron. J., 60, 640-643 (1968).
33. A. R. Huete, "A soil-adjusted vegetation index (SAVI)," Remote Sensing Environment, 25, 295-309 (1988).
34. D. Haboudane, J. R. Miller, N. Tremblay, P. J. Zarco-Tejada, and L. Dextraze, "Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture," Remote Sens. Environ., 81, 416-426 (2002) [doi:10.1016/S0034-4257(02)00018- 4].
35. G. Guyot and F. Baret, "Utilisation de la haute resolution spectrale pour suivre l'etat des couvrets vegetaux," presented at 4th International Colloquium on Spectral Signatures of Objects in Remote Sensing, Aussois, France (1988).
36. J. Peñuelas, I. Fuella, C. Biel, L. Serrano, and R. Save, "The reflectance at the 950-970 nm region as an indicator of plant water stress.," Int. J. Remote Sens., 14, 1887-1905 (1993).
37. D. A. Sims and J. A. Gamon, "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 Sens. Environ., 84, 526-537 (2003) [doi:10.1016/S0034- 4257(02)00151-7].
38. T. J. Malthus, B. Andrieu, F. M. Danson, K. W. Jaggard, and M. D. Steven, "Candidate high spectral resolution infrared indices for crop cover* 1," Remote Sens. Environ., 46, 204-212 (1993) [doi:10.1016/0034-4257(93)90095-F].
39. E. B. Knipling, "Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation," Remote Sens. Environ., 1, 155-159 (1970) [doi: 10.1016/S0034-4257(70)80021-9].
40. D. M. Gates, H. J. Keegan, J. C. Schleter, and V. R. Weidner, "Spectral properties of plants," Appl. Opt., 4, 11-20 (1965).
41. E. M. Louchard, R. P. Reid, C. F. Stephens, C. O. Davis, R. A. Leathers, T. V. Downes, and R. Maffione, "Derivative analysis of absorption features in hyperspectral remote sensing data of carbonate sediments," Optics Express, 10, 1573-1584 (2002).
42. E. M. Rollin and E. J. Milton, "Processing of high spectral resolution reflectance data for the retrieval of canopy water content Information," Remote Sens. Environ., 65, 86-92 (1998) [doi:10.1016/S0034-4257(98)00013-3].
43. D. J. Bonfil, A. Karnieli, M. Raz, I. Mufradi, S. Asido, H. Egozi, A. Hoffman, and Z. Schmilovitch, "Decision support system for improving wheat grain quality in the Mediterranean area of Israel," Field Crops Res., 89, 153-163 (2004)[doi:10.1016/j.fcr.2004.01.017].