Estimating radiation interception in an olive orchard using physical models and multispectral airborne imagery

References

• Annandale, J.G., Jovanovic, N.Z., Campbell, G.S., Du Sautoy, N., Lobit, P. 2004. Two-dimensional solar radiation interception model for hedgerow fruit trees. Agr. Forest. Meteorol. 121: 207-225.
   Google Scholar
• Asrar, G., Fuchs, M., Kanemasu, E.T., Hatfield, J.H. 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76: 300-306.
   Google Scholar
• Barton, C.V.M., North, P.R.J. 2001. Remote sensing of canopy light use efficiency using the photochemical reflectance index. Model and sensitivity analysis. Remote Sens. Environ., 78: 264-273.
   Google Scholar
• Beede, R.H., Goldhamer, D.A. 1994. Olive irrigation management In: Ferguson, L., Sibbett, G.S., Martin, G.C. eds. Olive production manual. Univ. of California Pub. 3353, pp. 61-68.
   Google Scholar
• Ben-Gal, A., Yermiyahu, U., Zipori, I., Presnov, E., Hanoch, E., Dag, A. 2011. The influence of bearing cycles on olive oil production response to irrigation. Irrig. Sci. 29: 253-263.
   Google Scholar
• Berni, J.A.J., Zarco-Tejada, P.J., Suarez, L., Fereres, E. 2009. Thermal and narrow-band multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Electron. 47: 722-738.
   Google Scholar
• Bouguet, J. 2001. Camera calibration toolbox for Matlab. ( http://www.vision.caltech.edu/bouguetj/calibdoc/index.html
   Google Scholar
• Connor, D.J., Fereres, E. 2005. The physiology of adaptation and yield expression in olive. Horicultural Reviews 31: 155-229.
   Google Scholar
• Daughtry, C.S.T., Gallo, K.P., Bauer, M.E. 1983. Spectral estimates of solar radiation by corn canopies. Agron. J. 75: 527-531.
   Google Scholar
• De Castro, F., Fetcher, N. 1998. Three dimensional model of the interception of light by a canopy. Agr. Forest. Meteorol. 90: 215-233.
   Google Scholar
• Disney, M.I., Lewis, P., North, P. R. J. 2000. Monte Carlo ray tracing in optical canopy reflectance modelling. Remote Sens. Rev. 18: 163-196.
   Google Scholar
• Fernades-Silva, A.A., Ferreira, T.C., Correia, C.M., Malheiro, A.C., Villalobos, F.J. 2010. Influence of different irrigation regimes on crop yield and water use efficiency of olive. Plant Soil 333: 35-47.
   Google Scholar
• Friday, J.B., Fowness, J.H. 2001. A simulation model for hedgerow light interception and growth. Agr. Forest. Meteorol. 108: 29-43.
   Google Scholar
• Gómez, J.A., Zarco-Tejada, P.J., García-Morillo, J., Gama, J., Soriano, M.A. 2011. Determining biophysical parameters for olive trees using CASI airborne and Quickbird satellite imagery. Agron. J. 103: 644-654.
   Google Scholar
• Gueymard, C.A. 1995. SMARTS, A Simple Model of the Atmospheric Radiative Transfer of Sunshine: algorithms and performance assessment. Technical Report No. FSEC-PF-270-95. Florida Solar Energy Center, Cocoa, FL.
   Google Scholar
• Gueymard, C.A. 2005. Interdisciplinary applications of a versatile spectral solar irradiance model: a review. Energy 30: 1551-1576.
   Google Scholar
• Guillen-Climent, M.L., Zarco-Tejada, P.J., Berni, J.A.J., North, P.R.J., Villalobos, F.J. 2012. rco-Tejada, P.J., Berni, J.A.J., North, P.R.J. and Villalobos, F.J. (2012), Mapping radiation interception in row-structured orchards using 3D simulation and high resolution airborne imagery acquired from a UAV. Precision Agriculture 13: 473-500.
   Google Scholar
• Hall, F.G., Huemmrich, K.F., Goetz, S.J., Sellers, P.J., Nickerson, J.E. 1992. Satellite remote sensing of surface energy balance: success, failures, and unresolved issues in FIFE. J. Geophys. Res. 97: 19,061-19,089.
   Google Scholar
• Huemmrich, K.F. 2001. The GeoSail model: a simple addition to the SAIL model to describe discontinuous canopy reflectance. Remote Sens. Environ. 75, 423-431.
   Google Scholar
• Huemmrich, K.F. Goward, S.N., 1997. Vegetation canopy PAR absorptance and NDVI: an assessment for ten species with SAIL model. Remote Sens. Environ. 61: 254-269.
   Google Scholar
• Iniesta F, Testi L, Orgaz F, Villalobos FJ. 2009. The effects of regulated and continuous eficit irrigation on the water use, growth and yield of olive trees. Eur. J. Agron. 30: 258-265.
   Google Scholar
• Kempeneers, P., Zarco-Tejada, P. J., North, P. R. J., De Backer, S., Delalieux, S., Sepulcre-Cantó, G., Morales, F., Van Aardt, J. A. N., Sagardoy, R., Coppin, P., Scheunders, P. 2008. Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. Int. J. Remote Sens. 29: 5093-5111.
   Google Scholar
• Li-Cor Inc. 1983. 1800-12 Integrating Sphere instruction manual, Publication no. 8305-0034, Lincoln, NE USA.
   Google Scholar
• Mariscal, M.J., Orgaz, F., Villalobos, F.J. 2000. Modelling and measurement of radiation interception by olive canopies. Agr. Forest. Meteorol. 100: 183-197.
   Google Scholar
• Monteith J.L. 1977. Climate and the efficiency of crop production in Britain. Philos. Trans. R. Soc. London Ser. B 281: 277-294.
   Google Scholar
• Moorthy, I., Miller, J.R., Berni, J.A.J., Zarco-Tejada, P.J., Hu, B., Chen, J. 2011. Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data. Agr. Forest. Meteorol. 151: 204-214.
   Google Scholar
• Moriondo, M., Maselli, F., Bindi, M. 2007. A simple model of regional wheat yield based on NDVI data. Eur. J. Agron. 26: 266-274.
   Google Scholar
• Myneni, R.B., Williams, D.L. 1994. On the relationships between FAPAR and NDVI. Remote Sens. Environ. 49: 200-211.
   Google Scholar
• North. P.R.J. 1996. Three-dimensional forest light interaction model using a Monte Carlo method. IEEE Trans. Geosci. Electron. 34: 946-956.
   Google Scholar
• North, P.R.J. 2002. Estimation of fAPAR, LAI, and vegetation fractional cover from ATSR-2 imagery. Remote Sens. Environ. 80: 114-121.
   Google Scholar
• Olofsson, P., Eklundh, L. 2007. Estimation of abserbed PAR across Scandinavia from satellite measurments. Part II: Modeling and evaluating the fractional absorption. Remote Sens. Environ. 110: 240-251.
   Google Scholar
• Orgaz, F., Villalobos, F.J., Testi, L., Fereres, E. 2007. A model of daily mean canopy conductance for calculating transpiration of olive canopies. Func. Plant Biol. 34: 178-188.
   Google Scholar
• Oyarzun, R.A., Stöckle, C.O., Whiting, M.D. 2007. A simple approach to modeling radiation interception by fruit-tree orchards. Agr. Forest. Meteorol., 142: 12-24.
   Google Scholar
• Pastor, M., García-Vila, M., Soriano, M.A., Vega, V., Fereres, E. 2007. Productivity of olive orchards in response to tree density. J. Hortic. Sci. Biotechnol. 82: 555-562.
   Google Scholar
• Prieto-Blanco, A., North, P.R.J., Barnsley, M.J., Fox, N. 2009. Satellite-driven modelling of net primary productivity (NPP): theoretical analysis. Remote Sens. Environ. 113: 137-147.
   Google Scholar
• Roujean, J.L., Breon, F.M. 1995. Estimating PAR absorbed by vegetation from bidirectional reflectance measurement. Remote Sens. Environ. 51: 375-384.
   Google Scholar
• Stuckens, J., Somers, B., Delalieux, S., Verstraeten, W.W., Coppin, P. 2009. The impact of common assumptions on canopy radiativa transfer simulations: a case study in Citrus orchards. J. Quant. Spectrosc. Radiat. Transfer 110: 1-21.
   Google Scholar
• Suárez, L., Zarco-Tejada, P.J., Berni, J.A.J., González-Dugo, V., Fereres, E. 2009. Modelling PRI for water stress detection using radiative transfer models. Remote Sens. Environ. 113: 730-744.
   Google Scholar
• Suárez, L., Zarco-Tejada, P.J., González-Dugo, V., Berni, J.A.J., Sagardoy, R., Morales, F., Fereres, E. 2010. Detecting water stress effects on fruit quality in orchards with time-serie PRI airborne imagery. Remote Sens. Environ. 114: 286-298.
   Google Scholar
• Testi, L., Villalobos, F.J., Orgaz, F., Fereres, E. 2006. Water requirements of olive orchards. I. Simulation of daily -evapo-transpiration for scenario analysis. Irrig. Sci. 24: 69-76.
   Google Scholar
• Villalobos, F.J., Orgaz, F., Mateos, L. 1995. Non-destructive measurement of leaf area in olive (Olea europaea L.) trees using a gap inversion method. Agr. Forest. Meteorol. 73: 29-42.
   Google Scholar
• Villalobos, F.J., Testi, L., Hidalgo, J., Pastor, M. and Orgaz, F. 2006. Modelling potential growth and yield of olive (Olea europaea L.) canopies. Eur. J. Agron. 24: 296-303.
   Google Scholar
• Vossen, P. 2007. Olive oil: history, production and characteristics of the world's classic oils. HortScience 42: 1093-1110
   Google Scholar
• Wiegand, C.L., Richardson, A.J., Escobar, D.E., Gerbermann, A.H. 1991. Vegetation indices in crop assessments. Remote Sens. Environ. 35: 105-119.
   Google Scholar
• Widlowski, J-L., Taberner, M., Pinty, B., Bruniquel-Pinel, V., Disney, M., Fernandez, R., Gastellu-Etchegorry, J-P., Gobron, N., Kuusk, A., Lavergne, T., Leblanc, S., Lewis, P.E., Martin, E., Mottus, M., North, P.R.J., Quin, W., Robustelli, M., Rochdi, N., Ruiloba, R., Soler, C., Thompson, R., Verhoef, W., Verstraete, M.M. and Xie, D. 2007. Third Radiation transfer Model Intercomparison (RAMI) exercise: documenting progress in canopy reflectance models. J. Geophys. Res. 112: D09111.
   Google Scholar
• Widlowski, J-L., Pinty, B., Disney, M., Gastellu-Etchegorry, J-P., Lavergne, T., Lewis, P.E., North, P. R. J., Robustelli, M., Thompson, R. and Verstraete, M.M. 2008. The RAMI on-line model checker (ROMC): a web-based benchmarking facility for canopy reflectance models. Remote Sens. Environ. 112: 1144-1150.
   Google Scholar
• Zhang, Q., Middleton, E.M., Margolis, H.A., Drolet, G.G., Barr, A.A., Black, T.A. 2009. Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPARchl) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest? Remote Sens. Environ. 113: 880-888.
   Google Scholar
• Zarco-Tejada, P.J., Berjón, A., López-Lozano, R., Miller, J.R., Martín, P., Cachorro, V., González, M.R., Frutos, A. 2005. Assessing vineyard condition with hyperspectral indices: leaf & canopy reflectance simulation in a row-structured discontinuous canopy. Remote Sens. Environ. 99: 271-287.
   Google Scholar