Remote Assessment of Wheat Canopies under Various Cultivation Conditions Using Polarized Reflectance

References

• Asaka, D. and Shiga, H. 2003. Estimating rice grain protein contents with SPOT/HRV data acquired at maturing stage. Journal of The Remote Sensing Society of Japan 23 : 451-457.
   Google Scholar
• Chhina, G. S. and Kler, D. S. 1997. Wheat canopy structure and solar radiation interception : a review. Environment & Ecology 15 : 175-189.
   Google Scholar
• Curran, P. J. 1981. The relationship between polarized visible light and vegetation amount. Remote Sens. Environ. 11 : 87-92.
   Google Scholar
• Egan, W. G. 1970. Optical Stokes parameters for farm crop identification. Remote Sens. Environ. 1 : 165-180.
   Google Scholar
• Fitch, B. W., Walraven, R. L. and Bradley, D. E. 1984. Polarization of light reflected from grain crops during the heading growth stage. Remote Sens. Environ. 15 : 263-268.
   Google Scholar
• Ghosh, R., Sridhar, V. N., Venkatesh, H., Mehta, A. N. and Patel, K. I. 1993. Linear polarization measurements of a wheat canopy. Int. J. Remote Sensing 14 : 2501-2508.
   Google Scholar
• Homma, K., Shingu, H., Yamamoto, H., Shibayama, M., Sugahara, K. and Itano, S. 2005. Agro-environmental observation using near-infrared LCTF spectropolarimeter. In A. M. Larar, M. Suzuki and Q. Tong eds., Multispectral and Hyperspectral Remote Sensing Instruments and Applications II. Proc. of SPIE 5655, Honolulu, Hawaii. 407-418.
   Google Scholar
• Hoshino, T., Taniguchi, Y. and Ito, S. 1992. Studies on grain and flour quality of wheat in Tohoku district. 1. Effect of harvest time on grain and flour quality of wheat. Jpn. J. Crop Sci. 61 : 375-379.
   Google Scholar
• Huang, W., Wang, J., Wang, Z., Zhaochun, J., Liu, L. and Wang, J. 2004. Inversion of foliar biochemical parameters at various physiological stages and grain quality indicators of winter wheat with canopy reflectance. Int. J. Remote Sensing 25 : 2409-2419.
   Google Scholar
• Kanemoto, M., Kawamura, K., Akiyama, T., Yoshida, K. and Matsufuru, H. 2004. Multi-stage monitoring for quantity and quality of wheat. 1. Field measurement of wheat biomass and nitrogen using hyperspectral sensor. Jpn. J. Crop Sci. 73 (Extra issue 2) : 216-217.
   Google Scholar
• Kimes, D. S. 1983. Dynamics of directional reflectance factor distributions for vegetation canopies. Appl. Opt. 22 : 1364-1372.
   Google Scholar
• Matsuda, M., Ozawa, S., Hosaka, Y., Kaneda, K. and Yamashita, H. 2003. Estimation of plant growth in paddy field based on proximal remote sensing. —Measurement of leaf nitrogen contents by using digital camera—. Journal of The Remote Sensing Society of Japan 23 : 506-515.
   Google Scholar
• Nadal, F. and Bré;on, F. M. 1999. Parameterization of surface polarized reflectance derived from POLDER spaceborne measurements. IEEE Trans. Geosci. Remote Sensing 37 : 1709-1718.
   Google Scholar
• Ogiuchi, K. and Sakuyama, K. 2005. A method of nitrogen fertilizer application for winter-seeding cultivation of winter wheat. Jpn. J. Crop Sci. 74 : 17-22.
   Google Scholar
• Rondeaux, G. and Herman, M. 1991. Polarization of light reflected by crop canopies. Remote Sens. Environ. 38 : 63-75.
   Google Scholar
• Rouse, Jr., J. W., Haas, R. H., Schell, J. A., and Deering, D. W. 1973. Monitoring vegetation systems in the Great Plains with ERTS. Third ERTS Symposium, NASA SP-351. I : 309-317.
   Google Scholar
• Sato, A., Suenaga, K. and Kawaguchi, K. 1992a. Growth and grain yield of wheat in relation to differences in soil groups. III. Effects of the additional application of nitrogen or phosphoric-acid on the tiller growth and grain yield. Jpn. J. Crop Sci. 61 : 610-615.
   Google Scholar
• Sato, A., Oyanagi, A., Suenaga, K., Watanabe, O., Kawaguchi, K. and Eguchi, H. 1992b. Effects of nitrogen or phosphoric-acid application on the wheat noodle quality in different soil type. Jpn. J. Crop Sci. 61 : 616-622.
   Google Scholar
• Shibayama, M. 2001. Estimation of leaf area and leaf inclination distributions of perennial ryegrass, tall fescue, and white clover canopies using an electromagnetic 3-D digitizer. Grassland Science 47 : 303-306.
   Google Scholar
• Shibayama, M. and Akita, S. 2002. A portable spectropolarimeter for field crop canopies. —Distinguishing species and cultivars of fully developed canopies by polarized light—. Plant Prod. Sci. 5 : 311-319.
   Google Scholar
• Shibayama, M. 2003. Prediction of the ratio of legumes in a mixed seeding pasture by polarized reflected light. Grassland Science 49 : 229-237.
   Google Scholar
• Shibayama, M. 2004. Seasonal profiles of polarized reflectance and leaf inclination distribution of wheat canopies. Plant Prod. Sci. 7 : 397-405.
   Google Scholar
• Shingu, H., Kurosaki, H., Homma, K., Suzuki, T. and Yamamoto, H. 2002. Development of an imaging spectropolarimeter using a liquid crystal tunable fi lter. Proc. of the 23rd International Symposium on Space Technology and Science. ISTS Secretariat, Matsue, Japan. 2183-2188.
   Google Scholar
• Udagawa, T. 1980. Canopy structure in crops and its models. The Bulletin of the National Institute of Agricultural Sciences, Series D, No. 31. 127-202.
   Google Scholar
• Vanderbilt, V. C., Grant, L. and Daughtry, C. S. T. 1985. Polarization of light scattered by vegetation. Proc. IEEE 73 : 1012-1024.
   Google Scholar
• Wall, G. W. and Kanemasu, E. T. 1990. Carbon dioxide exchange rates in wheat canopies. Part I. Influence of canopy geometry on trends in leaf area index, light interception and instantaneous exchange rates. Agricultural and Forest Meteorology 49 : 81-102.
   Google Scholar
• Welles, J. M. and Norman, J. M. 1991. Instrument for indirect measurement of canopy architecture. Agron. J. 83 : 818-825.
   Google Scholar