ESTIMATION OF LEAF CANOPY NITROGEN CONCENTRATION WITH RED EDGE AREA SHAPE PARAMETER IN RICE

doi:10.3773/j.issn.1005-264x.2009.04.018

Abstract

Abstract:

Aims Quantifying the relationship between red edge area parameter and canopy leaf nitrogen status is the foundation for real-time and non-destructive monitoring of crop growth status and precision nitrogen fertilization in rice (Oryza sativa). Our objectives were to analyze 1) characteristics of the first-derivative reflectance spectra in red edge area and 2) the quantitative relationship of red edge area shape parameters to canopy leaf nitrogen concentrations, using different nitrogen levels and rice varieties and based on canopy hyper-spectral reflectance of field-grown rice in different years.
Methods Spectrum in the red edge area was significantly affected by different nitrogen levels and different rice varieties, and a “three-peak” feature could be observed with the first derivative spectrum at about 700, 720 and 730 nm. The maximum heights of the three peak bands changed with different nitrogen levels, so sub-areas surrounded by the first derivative spectra curve and x coordinate were formed by dividing the red edge area with the “three-peak band line”. Two random sub-areas were selected to calculate ratio (double peak symmetry, DPS) and normalization (normalized double peak symmetry, NDPS), which were related to canopy leaf nitrogen concentrations.
Important findings DPS based on the ratio of two different red edge sub-areas, and NDPS with normalization of the two different red edge sub-areas were significantly related to leaf canopy nitrogen concentrations in rice. Results of model calibration and validation indicated that DPS (A_675-700, A_675-755) and NDPS (A_675-700, A_675-755), ratio and normalized difference of areas in 675-700 to 675-755 nm red edge region, respectively, performed the best in estimating leaf canopy nitrogen concentration. Thus, these two spectral indices were suitable red edge area shape parameters for monitoring leaf canopy nitrogen concentrations in rice.

Key words: Oryza sativa, leaf canopy, red edge area, double peak symmetry, normalized double peak symmetry, nitrogen concentration

TIAN Yong-Chao, YANG Jie, YAO Xia, ZHU Yan, CAO Wei-Xing. ESTIMATION OF LEAF CANOPY NITROGEN CONCENTRATION WITH RED EDGE AREA SHAPE PARAMETER IN RICE[J]. Chin J Plant Ecol, 2009, 33(4): 791-801.

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https://www.plant-ecology.com/EN/Y2009/V33/I4/791

Figures/Tables 11

References 30

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试验和年份 Experiment & year		品种 Cultivar	施氮水平 Nitrogen rate (kg N·hm^-2)	小区面积 Plot area	采样日期 Sampling date (month / day)	数据用途 Data using
试验1 Exp.1	2004	‘武香粳9号’ WXJ 9	0, 105, 210, 315	18 m² (4 m×4.5 m)	9/2, 9/12, 9/23, 9/30,10/12	模型检验 Model validation
		‘华粳2号’ HJ 2			8/27, 9/2, 9/11, 9/23, 9/30
		‘日本晴’ NPB			8/27, 9/2, 9/11, 9/23
试验2 Exp.2	2005	‘武香粳14号’ WXJ 14	0, 90, 270, 420	31.5 m² (3.5 m×9 m)	7/15, 8/9, 8/16, 9/5, 9/13, 9/29, 10/10,10/23	建模 Model calibration
试验2 Exp.2	2005	27123	0, 90, 270, 420	31.5 m² (3.5 m×9 m)	7/15, 8/9, 8/16, 9/5, 9/13, 9/29, 10/10,10/23	建模 Model calibration
试验3 Exp.3	2006	‘武香粳14号’ WXJ 14	0, 90, 270, 405	25 m² (5.0 m×5.0 m)	7/28, 8/9, 8/18, 9/7, 9/17, 9/25, 10/5	建模 Model calibration
试验3 Exp.3	2006	‘27123’	0, 90, 270, 405	25 m² (5.0 m×5.0 m)	7/28, 8/9, 8/18, 9/7, 9/17, 9/25, 10/5	建模 Model calibration
试验4 Exp.4	2006	‘盐粳9967’ YJ 9967	0, 105, 210, 315, 420	8 100 m² (90 m×90 m)	7/29, 9/10	模型检验 Model validation
试验5 Exp.5	2007	‘扬辐粳8号’ YFJ 8	0, 210, 420	8 100 m² (90 m×90 m)	9/8, 10/9	模型检验 Model validation

试验和年份 Experiment & year		品种 Cultivar	施氮水平 Nitrogen rate (kg N·hm^-2)	小区面积 Plot area	采样日期 Sampling date (month / day)	数据用途 Data using
试验1 Exp.1	2004	‘武香粳9号’ WXJ 9	0, 105, 210, 315	18 m² (4 m×4.5 m)	9/2, 9/12, 9/23, 9/30,10/12	模型检验 Model validation
		‘华粳2号’ HJ 2			8/27, 9/2, 9/11, 9/23, 9/30
		‘日本晴’ NPB			8/27, 9/2, 9/11, 9/23
试验2 Exp.2	2005	‘武香粳14号’ WXJ 14	0, 90, 270, 420	31.5 m² (3.5 m×9 m)	7/15, 8/9, 8/16, 9/5, 9/13, 9/29, 10/10,10/23	建模 Model calibration
试验2 Exp.2	2005	27123	0, 90, 270, 420	31.5 m² (3.5 m×9 m)	7/15, 8/9, 8/16, 9/5, 9/13, 9/29, 10/10,10/23	建模 Model calibration
试验3 Exp.3	2006	‘武香粳14号’ WXJ 14	0, 90, 270, 405	25 m² (5.0 m×5.0 m)	7/28, 8/9, 8/18, 9/7, 9/17, 9/25, 10/5	建模 Model calibration
试验3 Exp.3	2006	‘27123’	0, 90, 270, 405	25 m² (5.0 m×5.0 m)	7/28, 8/9, 8/18, 9/7, 9/17, 9/25, 10/5	建模 Model calibration
试验4 Exp.4	2006	‘盐粳9967’ YJ 9967	0, 105, 210, 315, 420	8 100 m² (90 m×90 m)	7/29, 9/10	模型检验 Model validation
试验5 Exp.5	2007	‘扬辐粳8号’ YFJ 8	0, 210, 420	8 100 m² (90 m×90 m)	9/8, 10/9	模型检验 Model validation

红边面积参数 Red edge area index	算法 Algorithm	文献出处 Reference
625~795 nm 波段范围一阶导数光谱面积 Sum of FD between 625 and 795 nm	R₇₉₅-R₆₂₅	Elvidge & Chen, 1995
680~780 nm 波段范围一阶导数光谱面积 Sum of FD between 680 and 780 nm	R₇₈₀-R₆₈₀	Filella & Pennelas, 1994
红边与红谷面积比值 Ratio of red edge to red vale	A_{red edge}/A_{red vale}	Maccioni et al. 2001
双差指数 DD	(R_(a+Δ) -R_a)- (R_(b+Δ)-R_b)	Maire et al. 2004
归一化双峰指数 NDPS (A_a-b, A_c-d)	$\frac{\left(R_{a}-R_{b}\right)-\left(R_{c}-R_{d}\right)}{\left(R_{a}-R_{b}\right)+\left(R_{c}-R_{d}\right)}$	The present study
双峰对称度 DPS (A_a-b, A_c-d)	(R_a-R_b) / (R_c-R_d)	The present study

红边面积参数 Red edge area index	算法 Algorithm	文献出处 Reference
625~795 nm 波段范围一阶导数光谱面积 Sum of FD between 625 and 795 nm	R₇₉₅-R₆₂₅	Elvidge & Chen, 1995
680~780 nm 波段范围一阶导数光谱面积 Sum of FD between 680 and 780 nm	R₇₈₀-R₆₈₀	Filella & Pennelas, 1994
红边与红谷面积比值 Ratio of red edge to red vale	A_{red edge}/A_{red vale}	Maccioni et al. 2001
双差指数 DD	(R_(a+Δ) -R_a)- (R_(b+Δ)-R_b)	Maire et al. 2004
归一化双峰指数 NDPS (A_a-b, A_c-d)	$\frac{\left(R_{a}-R_{b}\right)-\left(R_{c}-R_{d}\right)}{\left(R_{a}-R_{b}\right)+\left(R_{c}-R_{d}\right)}$	The present study
双峰对称度 DPS (A_a-b, A_c-d)	(R_a-R_b) / (R_c-R_d)	The present study

参数 Parameter	模型形式 Model type	R²	根均方差 RMSE (%)	平均相对误差 RE
DPS (A_730-755, A_675-700)	直线 Linear	0.76	14.00	0.11
DPS (A_730-755, A_675-700)	曲线 Curve	0.81	10.11	0.09
DD (A_730-755, A_675-700)	直线 Linear	0.72	19.82	0.15
NDPS (A_730-755, A_675-700)	直线 Linear	0.80	10.00	0.09
DPS (A_675-700, A_700-755)	直线 Linear	0.78	12.10	0.11
DPS (A_675-700, A_700-755)	曲线 Curve	0.82	10.26	0.09
DD (A_675-700, A_700-755)	直线 Linear	0.58	23.63	0.19
NDPS (A_675-700, A_700-755)	直线 Linear	0.80	10.51	0.09
NDPS (A_675-700, A_700-755)	曲线 Curve	0.81	9.95	0.09
DPS (A_675-730, A_730-755)	曲线 Curve	0.77	10.40	0.09
DD (A_675-730, A_730-755)	直线 Linear	0.59	22.08	0.16
NDPS (A_675-730, A_730-755)	直线 Linear	0.77	11.13	0.10
DPS (A_675-720, A_720-755)	曲线 Curve	0.79	10.78	0.14
DD (A_675-720, A_720-755)	直线 Linear	0.74	18.10	0.09
NDPS (A_675-720, A_720-755)	直线 Linear	0.79	10.23	0.09
DPS (A_720-730, A_700-720)	直线 Linear	0.77	11.24	0.10
DPS1 (A_700-720, A_700-730)	直线 Linear	0.77	10.60	0.09
DD (A_720-730, A_700-720)	直线 Linear	0.49	25.22	0.18
NDPS (A_720-730, A_700-720)	直线 Linear	0.77	10.60	0.09
DPS (A_675-720, A_675-755)	直线 Linear	0.79	11.19	0.10
DPS (A_675-730, A_675-755)	直线 Linear	0.77	10.51	0.09
DPS (A_675-700, A_675-755)	直线 Linear	0.80	10.51	0.09
DPS (A_675-700, A_675-755)	曲线 Curve	0.81	9.95	0.09
A_{red edge}/A_{red vale}	曲线 Curve	0.54	13.54	0.12
R_795-R₆₂₅	直线 Linear	0.39	23.59	0.19
R_780-R₆₈₀	直线 Linear	0.41	23.94	0.20