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NTIS 바로가기Korean journal of crop science = 韓國作物學會誌, v.49 no.5, 2004년, pp.394 - 406
Nguyen Hung The (Department of Plant Science, College of Agriculture and Life Science, Seoul National University) , Lee Byun Woo (Department of Plant Science, College of Agriculture and Life Science, Seoul National University)
A split-plot designed experiment including four rice varieties and 10 nitrogen levels was conducted in 2003 at the Experimental Farm of Seoul National University, Suwon, Korea. Before heading, hyperspectral canopy reflectance (300-1100nm with 1.55nm step) and nine crop variables such as shoot fresh ...
Bausch, W. C., D. M. Lund, and M. C. Blue. 1990 Robotic Data Acquisition of Directional Reflectance Factors. Remote Sens Environ 30 159-168
Cassanova, D , G. F Epema, and J. Goudriaan. 1998. Monitoring rice reflectance at field level for estimating biomass and LAI. Field Crops Res 55 : 83-92
Casanova, D., J Goudriaan, and A. D. Bosch 2000. Testing the performance of ORYZA1, an explanatory model for rice growth simulation, for Mediterranean conditions. Eur J Agron. 12 : 175-189
Diker, K. and W C. Bausch 2003. Potential use of nitrogen reflectance index to estimate plant parameters and yield of maize. Biosys. Eng. 85 : 437-447
Duggin, M J 1980 The field measurement of reflectance factors Photogram Eng Remote Sens. 46. 643-647
Elvidge, C. D. and Z. Chen 1995 Comparison of broad-band and narrow-band red and near-infrared vegetation indices. Remote Sens Environ. 54 38-48
Graeff, S and W Claupein. 2003. Quantifying nitrogen status of corn (Zea mays L.) in the field by reflectance measurements. Eur. J Agron. 19. 611-618
Haboudane, D., J. R. Miller, E Pattey, P. J. Zarco-Tejada, and I. strachan. 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture Remote Sens Environ 90 337-352
Hansen, P. M. and J K. Schjoerring 2003. 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
Hinzman, L. D, M E Bauer, and C. S. T Daughtry. 1986 Effects of nitrogen fertilization on growth and reflectance characteristics of winter wheat. Remote Sens Environ 19 47-61
Huete, A R. 1988. A soil-adjusted vegetation index (SAVI) Remote Sens. Environ 25 : 295-309
McMurtrey, R. F, E W Chappella M S. Kim, and J J Meisinger. 1994. Distinguishing nitrogen fertilization levels in field corn (Zea mays L) WIth active induced fluoresing and passive reflectance measurements Remote Sens Environ 47 : 36-44
Ntanos, D. A. and S. D Koutroubas. 2002. Dry matter and N accumulation and translocation for Indica and Japonica rice under Mediterranean conditions. Field Crops Res 74 93-101
Reusch, R 2003 Optimisation of oblique-view remote sensing measurement of crop N-uptake under changing irradiance conditions In. Stafford, J and Werner A. (Eds ), Precision Agriculture. Wageningen Academic Publishers, Netherlands. pp 573-578
Shanahan, J F, J. S. Schepers, D. D Francis, G. E. Varvel, W. W. Wilhelm, J. M. Tringe, M. R. Schemmer, and D. J. Major. 2001. Use of remote imagery to estimate corn grain yield Agron. J. 93. 583-589
Takebe, M., T. Yoneyama, K. Inada, and T. Murakami. 1990. Spectral reflectance ratio of rice canopy for estimating crop nitrogen status Plant Soil 122 : 295-297
Thenkabail, P. S., R B Smith, and E D. Pauw 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics Remote Sens Environ. 71. 158-182
Tilley, D R, M. Ahmed, J. H Son, and H. Badrinarayanan. 2003. Hyperspectral reflectance of emergent macrophytes as an indicator of water column ammonia in an oligohaline, subtropical marsh. Ecol. Eng. (In press)
Yoder B J. and R E P. Crosby. 1995. Predicting nitrogen and chlorophyll content and concentrations from reflectance spec.tra (400-2500 nm) at leaf and canopy scales. Remote Sens Environ. 53 : 199-211
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