1 |
Bausch, W. C., D. M. Lund, and M. C. Blue. 1990 Robotic Data Acquisition of Directional Reflectance Factors. Remote Sens Environ 30 159-168
DOI
ScienceOn
|
2 |
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
DOI
ScienceOn
|
3 |
Cui, R X and B W Lee. 2002. Spikelet number estimation model using nitrogen nutrition status and biomass at panicle initiation and heading stage of rice. Korean J. Crop Sci. 47 : 390-394
|
4 |
Duggin, M J 1980 The field measurement of reflectance factors Photogram Eng Remote Sens. 46. 643-647
|
5 |
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
DOI
ScienceOn
|
6 |
Huete, A R. 1988. A soil-adjusted vegetation index (SAVI) Remote Sens. Environ 25 : 295-309
DOI
ScienceOn
|
7 |
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
DOI
ScienceOn
|
8 |
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
DOI
ScienceOn
|
9 |
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
DOI
ScienceOn
|
10 |
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
DOI
ScienceOn
|
11 |
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)
|
12 |
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
DOI
ScienceOn
|
13 |
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
DOI
ScienceOn
|
14 |
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
|
15 |
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
DOI
|
16 |
Cui, R X., M. H Kim, J H Kim, H S Nam, and B W.Lee. 2002. Determination of critical nitrogen concentration and dilution curve for rice growth. Korean J. Crop Sci 47 : 127-131
|
17 |
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
DOI
ScienceOn
|
18 |
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
DOI
ScienceOn
|
19 |
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
DOI
|
20 |
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
DOI
ScienceOn
|
21 |
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
DOI
ScienceOn
|