Effect of sensor view angle on the assessment of agronomic traits by ground level hyper-spectral reflectance measurements in durum wheat under contrasting Mediterranean conditions

References

• Aparicio , N , Villegas , D , Casadesus , J , Araus , J. L and Royo , C . 2000 . Spectral vegetation indices as nondestructive tools for determining durum wheat yield . Agronomy Journal , 92 : 83 – 91 .
   Web of Science ®Google Scholar
• Araus , J. L and Tapia , L . 1987 . Photosynthetic gas exchange characteristics of wheat flag leaf blades and sheaths during grain filling. The case of a spring crop grown under Mediterranean climate conditions . Plant Physiology , 85 : 667 – 673 .
   PubMed Web of Science ®Google Scholar
• Araus , J. L , Febrero , A and Vendrell , P . 1991 . Epidermal conductance in different parts of durum wheat grown under Mediterranean conditions. The role of epicuticular waxes and stomates . Plant Cell Environment , 14 : 545 – 558 .
   Web of Science ®Google Scholar
• Araus , J. L , Brown , H. R , Febrero , A , Bort , J and Serret , M. D . 1993 . Ear photosynthesis, carbon isotope discrimination and the contribution of respiratory CO2 to differences in grain mass in durum wheat . Plant Cell Environment , 16 : 383 – 392 .
   Web of Science ®Google Scholar
• Asrar , G , Fuchs , M , Kanemasu , E. T and Hatfield , J. L . 1984 . Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat . Agronomy Journal , 76 : 300 – 306 .
   Web of Science ®Google Scholar
• Baret , F and Guyot , G . 1991 . Potentials and limits of vegetation indices for LAI and APAR assessment . Remote Sensing of Environment , 35 : 161 – 173 .
   Web of Science ®Google Scholar
• Bellairs , M , Turner , N. C , Hick , P. T and Smith , R. C. G . 1996 . Plant and soil influences on estimating biomass of wheat in plant breeding plots using spectral radiometers . Australian Journal of Agricultural Research , 47 : 1017 – 1034 .
   Google Scholar
• Blum , A . 1975 . Effect of the BM gene on epicuticular wax deposition and the spectral characteristics of sorghum leaves . Sabrao Journal , 7 : 45 – 52 .
   Google Scholar
• Blum , A . 1986 . The effect of heat stress on wheat leaf and ear photosynthesis . Journal of Experimental Botany , 37 : 111 – 118 .
   Web of Science ®Google Scholar
• Bort J Casadesus J Araus J. L Grando S Ceccarelli S 2001 Spectral vegetation indices as non-destructive indicators of barley yield in Mediterranean rainfed conditions In Barley Science: Recent advances from molecular biology to agronomy of yield and quality, edited by G. A. Slafer, J. L. Molina-Cano, R. Savin, J. L. Araus, and I. Romagosa (New York: Food Product), pp. 339–360
   Google Scholar
• Carlson , T. N and Ripley , D. A . 1997 . On the relation between NDVI, fractional vegetation cover, and leaf area index . Remote Sensing of Environment , 62 : 241 – 252 .
   Web of Science ®Google Scholar
• Casanova , D , Epema , G. F and Goudriaan , J . 1998 . Monitoring rice reflectance at field level for estimating biomass and LAI . Field Crop Research , 55 : 83 – 92 .
   Web of Science ®Google Scholar
• Ceccato , P , Flasse , S , Tarantola , S , Jacquemoud , S and Grégoire , J. M . 2001 . Detecting vegetation leaf water content using reflectance in the optical domain . Remote Sensing of Environment , 77 : 22 – 33 .
   Web of Science ®Google Scholar
• Colwell , J. E . 1974 . Vegetation canopy reflectance . Remote Sensing of Environment , 3 : 175 – 183 .
   Google Scholar
• Curran , P. J . 1983 . Multispectral remote sensing for the estimation of green leaf area index . Philosophical Transactions of the Royal Society, London , 309 : 257 – 270 .
   Web of Science ®Google Scholar
• Daughtry , C. S. T , Vanderbilt , V. C and Pollara , V. J . 1982 . Variability of reflectance measurements with sensor altitude and canopy type . Agronomy Journal , 74 : 744 – 751 .
   Web of Science ®Google Scholar
• Daughtry , C. S. T , Gallo , K. P , Goward , S. N , Prince , S. D and Kustas , W. P . 1992 . Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies . Remote Sensing of Environment , 39 : 141 – 152 .
   Web of Science ®Google Scholar
• Eaton , F. D and Dirmhirn , I . 1979 . Reflectance irradiance indicatrices of natural surfaces and their effect on albedo . Applicated Optics , 18 : 994 – 1008 .
   PubMed Web of Science ®Google Scholar
• Elliott , G. A and Regan , K. L . 1993 . Use of reflectance measurements to estimate early cereal biomass production on sandplain soils . Australian Journal of Experimental Agriculture , 33 : 179 – 183 .
   Google Scholar
• Febrero , A and Araus , J. L . 1994 . Epicuticular wax load, yield, carbon isotope discrimination, canopy reflectance and epidermal conductance of near-isogenic barley lines differing in glaucousness . Scanning Microscopy , 8 : 735 – 748 .
   Google Scholar
• Febrero , A , Fernandez , S , Molina-Cano , J. L and Araus , J. L . 1998 . Yield, carbon isotope discrimination, canopy reflectance and epidermal conductance of barley isolines of differing glaucousness . Journal of Experimental Botany , 49 : 1575 – 1581 .
   Web of Science ®Google Scholar
• Fernández , S , Vidal , D , Simón , E and Solé-Sugranes , L . 1994 . Radiometric characteristics of Triticum aestivum cv. Astral under water and nitrogen stress . International Journal of Remote Sensing , 15 : 1867 – 1884 .
   Web of Science ®Google Scholar
• Filella , I , Amaro , T , Araus , J. L and PeÑuelas , J . 1996 . Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index (PRI) . Physiologica Plantarum , 96 : 211 – 216 .
   Web of Science ®Google Scholar
• Gallo , K. P , Daughtry , C. S. T and Wiegand , C. L . 1993 . Errors in measuring absorbed radiation and computing crop radiation use efficiency . Agronomy Journal , 85 : 1222 – 1228 .
   Web of Science ®Google Scholar
• Gamon , J. A , PeÑuelas , J and Field , C. B . 1992 . A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency . Remote Sensing of Environment , 41 : 35 – 44 .
   Web of Science ®Google Scholar
• Gamon , J. A , Field , C. B , Goulden , M. L , Griffin , K. L , Hartley , A. E , Joel , G , PeÑuelas , J and Valentini , R . 1995 . Relationships between NDVI, canopy structure and photosynthesis in three Californian vegetation types . Ecological Applications , 5 : 28 – 41 .
   Web of Science ®Google Scholar
• Guyot G 1983 Angular and spatial variability of spectral data in visible and near infrared Proceedings of the International Colloquium on Spectral Signatures of Objects in Remote Sensing, Bordeaux, France, 13–16 September 1983, pp. 27–44
   Google Scholar
• Hatfield , J. L , Asrar , G and Kanemasu , E. T . 1984 . Intercepted photosynthetically active radiation estimated by spectral reflectance . Remote Sensing of Environment , 14 : 65 – 75 .
   Web of Science ®Google Scholar
• Huete , A. R . 1987 . Soil-dependent spectral response in a developing plant canopy . Agronomy Journal , 11 : 185 – 200 .
   Google Scholar
• Hunt , E. R and Rock , B. N . 1989 . Detection of changes in leaf water content using near and middle-infrared reflectances . Remote Sensing of Environment , 30 : 43 – 54 .
   Web of Science ®Google Scholar
• Jackson , R. D . 1983 . Spectral indices in n-space . Remote Sensing of Environment , 13 : 1409 – 1429 .
   Web of Science ®Google Scholar
• Jackson , R. D and Pinter , P. J . 1986 . Spectral response of architecturally different wheat canopies . Remote Sensing of Environment , 20 : 43 – 56 .
   Web of Science ®Google Scholar
• J ANDEL CORPORATION 1994 TableCurveTM 2D Users' Manual (San Rafael, CA: Jandel Co.)
   Google Scholar
• Jensen , A , Lorenzen , B , Spelling-Ostergaard , H and Kloster-Hvelplund , E . 1990 . Radiometric estimation of biomass and N content of barley grown at different N stress . International Journal of Remote Sensing , 11 : 176 – 188 .
   Web of Science ®Google Scholar
• Johnson , D. A , Richards , R. A and Turner , N. C . 1983 . Yield, water relations, gas exchange, and surface reflectances of near-isogenic wheat lines differing in glaucousness . Crop Science , 23 : 318 – 325 .
   Web of Science ®Google Scholar
• Juniper B. E Jeffree C. E 1983 Plant Surfaces (London: Edward Arnold)
   Google Scholar
• Kollenkark , J. C. V , Daughtry , C. S. T and Bauer , M. E . 1982 . Influence of solar illumination angle on soybean canopy reflectance . Applied Optics , 21 : 1179 – 1184 .
   PubMed Web of Science ®Google Scholar
• MacDonald , R. B and Hall , F. G . 1980 . Global crop forecasting . Science , 208 : 670 – 679 .
   PubMed Web of Science ®Google Scholar
• Margalef R 1974 Ecologia (Barcelona: Omega)
   Google Scholar
• PeÑuelas , J and Filella , I . 1998 . Visible and near-infrared reflectance techniques for diagnosing plant physiological status . Trends of Plant Science , 3 : 151 – 156 .
   Web of Science ®Google Scholar
• PeÑuelas , J , Filella , I and Baret , F . 1995a . Semi empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance . Photosynthetica , 31 : 221 – 230 .
   Web of Science ®Google Scholar
• PeÑuelas , J , Filella , I and Gamon , J. A . 1995b . Assessment of photosynthetic radiation-use efficiency with spectral reflectance . New Phytology , 131 : 291 – 296 .
   Web of Science ®Google Scholar
• PeÑuelas , J , Filella , I and Serrano , L . 1996 . Cell wall elasticity and water index (R 970nm/R 900nm) in wheat under different nitrogen availabilities . International Journal of Remote Sensing , 17 : 373 – 382 .
   Web of Science ®Google Scholar
• PeÑuelas , J , Gamon , J. A , Griffin , K. L and Field , C. B . 1993b . Assessing community type, plant biomass, pigment composition, and photosynthetic efficiency of aquatic vegetation from spectral reflectance . Remote Sensing of Environment , 46 : 110 – 118 .
   Web of Science ®Google Scholar
• PeÑuelas , J , Isla , R , Filella , I and Araus , J. L . 1997 . Visible and near-infrared reflectance assessment of salinity effects on barley . Crop Science , 37 : 198 – 202 .
   Web of Science ®Google Scholar
• Pinter , P. J , Jackson , R. D , Idso , S. B and Reginato , R. J . 1981 . Multidate spectral reflectance as predictors of yield in water stressed wheat and barley . International Journal of Remote Sensing , 2 : 43 – 48 .
   Google Scholar
• Ranson , K. J , Daughtry , C. S. T , Biehl , L. L and Bauer , M. E . 1985 . Sun-view angle effects on reflectance factors of corn canopies . Remote Sensing of Environment , 18 : 147 – 161 .
   Web of Science ®Google Scholar
• Raun , W. R , Solie , J. B , Gordon , J. V , Johnson , V , Stona , M. L , Lukina , E. V , Thomason , W. E and Schepers , J. S . 2001 . In-season prediction of potential grain yield in winter wheat using canopy reflectance . Agronomy Journal , 93 : 131 – 138 .
   Web of Science ®Google Scholar
• Richards , R. A , Rawson , H. M and Johnson , D. A . 1986 . Glaucousness in wheat, its development and effect on water-use efficiency, gas exchange and photosynthetic tissue temperatures . Australian Journal of Plant Physiology , 13 : 465 – 473 .
   Google Scholar
• Roujean , J. L and Bréon , F. M . 1995 . Estimating PAR absorbed by vegetation from bidirectional reflectance measurements . Remote Sensing of Environment , 51 : 375 – 384 .
   Web of Science ®Google Scholar
• Sandmeier , S and Itten , K. I . 1999 . A field goniometer system (FIGOS) for acquisition of hyperspectral BRDF data . IEEE Transactions on Geoscience and Remote Sensing , 37 : 978 – 986 .
   Web of Science ®Google Scholar
• Sas Institute Inc., 1987 SAS/STATTM. Guide for personal computers: Statistics. 6th edn. Cary, NC
   Google Scholar
• Sellers , P. J . 1987 . Canopy reflectance, photosynthesis, and transpiration. II. The role of biophysics in the linearity of their interdependence . Remote Sensing of Environment , 21 : 143 – 183 .
   Web of Science ®Google Scholar
• Smith J. A Oliver R. E Berry J. K 1975 Signature extension for sun angle Final report NAS-9-14467, Department of Earth Resources, Fort Collins, CO
   Google Scholar
• Tambussi , E. A , Casadesus , J , Munné-Bosch , S and Araus , J. L . 2002 . Photoprotection in water stressed plants of durum wheat (Triticum turgidum L. var. durum): changes in chlorophyll fluorescence, spectral signature and photosynthetic pigments . Functional Plant Biology , 29 : 35 – 44 .
   PubMed Web of Science ®Google Scholar
• Tucker , C. J . 1979 . Red and photographic infrared linear combinations for monitoring vegetation . Remote Sensing of Environment , 8 : 127 – 150 .
   Web of Science ®Google Scholar
• Wardley , N. W . 1984 . Vegetation index variability as a function of viewing geometry . International Journal of Remote Sensing , 5 : 861 – 870 .
   Web of Science ®Google Scholar
• Wiegand , C. L and Richardson , A. J . 1990a . Use of spectral vegetation indices to infer leaf area, evapotranspiration and yield: I. Rationale . Agronomy Journal , 82 : 623 – 629 .
   Web of Science ®Google Scholar
• Wiegand , C. L and Richardson , A. J . 1990b . Use of spectral vegetation indices to infer leaf area, evapotranspiration and yield: II. Results . Agronomy Journal , 82 : 630 – 636 .
   Web of Science ®Google Scholar
• Wiegand , C. L , Richardson , A. J , Jackson , R. D , Pinter Jr , P. J , Asae , J. K and Simaka , D. E . 1986 . Development of agrometeorological crop model inputs from remotely sensed information . IEEE Transactions on Geoscience and Remote Sensing , 24 : 90 – 98 .
   Web of Science ®Google Scholar
• Young A Britton G 1990 Carotenoids and Stress. Stress responses in plants: adaptation and acclimation mechanisms (New York: Wiley-Liss Inc.), pp. 87–112
   Google Scholar
• Zadoks , J. C , Chang , T. T and Konzak , C. F . 1974 . A decimal code for the growth stage of cereals . Euphytica Bulletin , 7 : 42 – 52 .
   Google Scholar