[Monitoring canopy nitrogen status in winter wheat of growth anaphase with hyperspectral remote sensing].
Guang Pu Xue Yu Guang Pu Fen Xi
; 30(11): 3061-6, 2010 Nov.
Article
en Zh
| MEDLINE
| ID: mdl-21284184
Biomass, leaf area index (LAI) and nitrogen status are important parameters for indicating crop growth potential and photosynthetic productivity in wheat. Nondestructive, quick assessment of leaf dry weight, LAI and nitrogen content is necessary for nitrogen nutrition diagnosis and cultural regulation in wheat production. In order to establish the monitoring model of nitrogen richness in winter wheat of growth anaphase, studying the relationship between the nitrogen richness (NR) containing nitrogen density, LAI and leaf dry weight and the difference of hyperspectral reflectance rates (deltaR), we conducted a comparable experiment with five winter wheat varieties under nitrogen application level of 0, 100, 200 and 400 kg x N x ha(-1). The results indicated the NRs of the different varieties of winter wheat leaves increased with increasing growth stage while in the different nitrogen levels it was sequenced as: NO>N3>N1>N2. Twelve vegetation indices were compared with corresponding NR. The NR had significantly negative correlation to TCARI and VD672 in those vegetation indices, and their correlations (r) arrived at 0.870 and 0.855, respectively. The coefficients of determination (R2) of two models were 0.757 and 0.731 by erecting model with the two indexes and NR Root mean square error (RMSE), relative error (RE) and determination coefficient between measured and estimated NR were employed to test the model reliability and predicting accuracy. Accuracy rates of the models based on TCARI and VD672 achieved 84.56% and 80.13%. The overall results suggested that leaf nitrogen status of growth anaphase in winter wheat has stable relationships with some vegetation indexes, especially index of TCARI and VD672.
Buscar en Google
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Triticum
/
Tecnología de Sensores Remotos
/
Nitrógeno
Tipo de estudio:
Prognostic_studies
Idioma:
Zh
Revista:
Guang Pu Xue Yu Guang Pu Fen Xi
Año:
2010
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
China