Inversion of Rice Leaf Chlorophyll Content Based on Sentinel-2 Satellite Data

Fig. 3. Simulated change of leaf chlorophyll content with canopy CI₇₄₀ under different background conditions
(a): LAI=1; (b): LAI=4 Note: CI_soil values of 0.35, 0.55 and 0.75 correspond to P_soil equal to 1 (dry soil), 0.5, and 0 (wet soil)

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Fig. 4. Simulated change of leaf chlorophyll content with canopy CI₇₄₀/G under different background conditions
(a): LAI=1; (b) LAI=4 Note: CI_soil/G_soil values of 0.43, 0.48, and 1.01 correspond to Psoil equal to 1 (dry soil), 0.5, and 0 (wet soil)

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Fig. 5. Leaf chlorophyll content inverted using CI₇₀₅/G
(a), CI₇₄₀/G (b), CI₇₈₃/G (c), ZM/G (d) against measurements

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Table 1. Remote sensing data used and concurrent measured leaf chlorophyll content (Cab) and leaf area index (LAI)

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Table 1. Remote sensing data used and concurrent measured leaf chlorophyll content (Cab) and leaf area index (LAI)

实测日期	遥感影像日期	实测Cab/(μg·cm^-2)	实测LAI
17/07/16	17/07/18	48.89	1.68
17/07/30	17/07/28	57.57	3.31
17/08/07	17/08/07	63.14	5.23
17/08/28	17/08/27	63.66	5.37
17/10/08	17/10/09	40.95	4.85
17/10/21	17/10/24	35.64	4.47
17/10/30	17/10/31	27.3	4.44
17/11/14	17/11/15	9.55	4.12
18/07/19	18/07/18	42.18	1.96
18/08/01	18/08/02	43.78	2.38
18/08/10	18/08/10	52.11	4.18
18/09/04	18/09/04	63.44	4.87

Table 2. Model parameter settings in the forward simulations of PROSAIL

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Table 2. Model parameter settings in the forward simulations of PROSAIL

参数	最小值	最大值	步长
叶子结构N	1	1.5	0.1
叶片叶绿素含量Cab/(μg·cm^-2)	0	80	0.5
叶面积指数LAI	0	7	0.5
类胡萝卜素含量/(μg·cm^-2)	8	8	/
干物质含量c_M/(g·cm^-2)	0.001	0.005	0.002
水含量c_W/cm	0.02	0.02	/
土壤因子P_soil	0	1	0.5
平均叶倾角ALA/(°)	30	30	/
太阳天顶角/(°)	20	50	5
观测天顶角/(°)	8	8	/
观测相对方位角/(°)	120	150	5

Table 3. The spectral indices used in this study

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Table 3. The spectral indices used in this study

叶绿素指数	缩写	公式	Sentinel-2波段
Red-edge chlorophyll index	CI₇₀₅	ρ₇₀₅/ρ_green-1	band 3, band 5
	CI₇₄₀	ρ₇₄₀/ρ_green-1	band 3, band 6
	CI₇₈₃	ρ₇₈₃/ρ_green-1	band 3, band 7
Zarco and Miller	ZM	ρ₇₄₀/ρ₇₀₅	band 5, band 6

Table 4. Statistics of leaf chlorophyll content inverted using four different spectral indices against measurements

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Table 4. Statistics of leaf chlorophyll content inverted using four different spectral indices against measurements

光谱指数	一元线性回归方程	R²	RMSE/ (μg·cm^-2)	MRE/ %
CI₇₀₅	y=0.845 9x+6.150 2	0.69	9.17	0.09
CI₇₄₀	y=0.912 9x-1.120 9	0.79	9.02	-9.21
CI₇₈₃	y=0.994 4x-1.393 5	0.67	10.84	-0.32
ZM	y=0.815 4x+2.472 2	0.71	10.53	-11.11

Table 5. Accuracy of inversion results after correction of four spectral indices

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Table 5. Accuracy of inversion results after correction of four spectral indices

改进光谱指数	一元线性回归方程	R²	RMSE /(μg·cm^-2)	MRE /%
CI₇₀₅/G	y=0.908 4x+6.211 9	0.83	6.95	6.85
CI₇₄₀/G	y=0.930 3x+5.287	0.91	5.09	6.45
CI₇₈₃/G	y=0.885 4x+9.004 4	0.86	7.01	11.63
ZM/G	y=0.917 6x+8.023	0.88	6.88	12.32

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Xu YANG, Xue-he LU, Jing-ming SHI, Jing LI, Wei-min JU. Inversion of Rice Leaf Chlorophyll Content Based on Sentinel-2 Satellite Data[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 866

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Paper Information

Category: Orginal Article

Received: Feb. 8, 2021

Accepted: Apr. 1, 2021

Published Online: Apr. 19, 2022

The Author Email:

DOI:10.3964/j.issn.1000-0593(2022)03-0866-07

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Remote sensing data used and concurrent measured leaf chlorophyll content (Cab) and leaf area index (LAI)

Table 1. Remote sensing data used and concurrent measured leaf chlorophyll content (Cab) and leaf area index (LAI)

Table 2. Model parameter settings in the forward simulations of PROSAIL

Table 2. Model parameter settings in the forward simulations of PROSAIL

Table 3. The spectral indices used in this study

Table 3. The spectral indices used in this study

Table 4. Statistics of leaf chlorophyll content inverted using four different spectral indices against measurements

Table 4. Statistics of leaf chlorophyll content inverted using four different spectral indices against measurements

Table 5. Accuracy of inversion results after correction of four spectral indices

Table 5. Accuracy of inversion results after correction of four spectral indices

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