Inversion of Leaf Area Index Based on GF-6 WFV Spectral Vegetation Index Model

Xiao-xuan WANG; Xiao-ping LU; Qing-yan MENG; Guo-qing LI; Jun WANG; Lin-lin ZHANG; Ze-nan YANG

doi:10.3964/j.issn.1000-0593(2022)07-2278-06

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 7 >Page 2278 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 7, 2278 (2022)

Inversion of Leaf Area Index Based on GF-6 WFV Spectral Vegetation Index Model

Xiao-xuan WANG^1、*, Xiao-ping LU^{1、1; *;}, Qing-yan MENG^{2、2; 3;}, Guo-qing LI^4、4;, Jun WANG^4、4;, Lin-lin ZHANG^{2、2; 3;}, and Ze-nan YANG^1、1;

Author Affiliations

¹1. Henan Polytechnic University, Key Laboratory of Spatio-Temporal Information and Ecological Restoration of Mines, Ministry of Natural Resources, Jiaozuo 454000, China

²2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

⁴4. Henan Institute of Remote Sensing and Geomatics, Zhengzhou 450000, China

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DOI: 10.3964/j.issn.1000-0593(2022)07-2278-06 Cite this Article

Xiao-xuan WANG, Xiao-ping LU, Qing-yan MENG, Guo-qing LI, Jun WANG, Lin-lin ZHANG, Ze-nan YANG. Inversion of Leaf Area Index Based on GF-6 WFV Spectral Vegetation Index Model[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2278 Copy Citation Text

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Fig. 1. Sampling sits of the experimental area

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Fig. 2. Verification of spectral vegetation index model

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Fig. 3. NDSI3 spectral vegetation index model inversion for LAI of corn at milk stage

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Fig. 4. NDSI3 model validation

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Fig. 5. Cross validation

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波段号	波段范围 /μm	波段名称	空间分辨率/m	幅宽 /km
B01	0.45~0.52	蓝波段	16	800
B02	0.52~0.59	绿波段
B03	0.63~0.69	红波段
B04	0.77~0.89	近红外波段
B05	0.69~0.73	红边1波段
B06	0.73~0.77	红边2波段
B07	0.40~0.45	紫边波段
B08	0.59~0.63	黄边波段

Table 1. Remote sensing images of GF-6 WFV satellite

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光谱植被指数	计算公式
归一化差值植被指数	NDVI=(P₀₄-P_R)/(P₀₄+P_R)
归一化差值光谱指数1	NDSI1=(P₀₄-P₀₅)/(P₀₄+P₀₅)
归一化差值光谱指数2	NDSI2=(P₀₄-P₀₆)/(P₀₄+P₀₆)
归一化差值光谱指数3	NDSI3=(P₀₅-P₀₆)/(P₀₅+P₀₆)
增强植被指数	EVI=2.5(P₀₄-P_R)/(P₀₄+ 6P_R-7.5P_B+1)
增强光谱指数1	EVI=2.5(P₀₄-P₀₅)/(P₀₄+ 6P₀₅-7.5P_B+1)
增强光谱指数2	EVI=2.5(P₀₄-P₀₆)/(P₀₄+ 6P₀₆-7.5P_B+1)
增强光谱指数3	EVI=2.5(P₀₅-P₀₆)/(P₀₅+ 6P₀₆-7.5P_B+1)
抗大气植被指数	ARVI=(P₀₄-1.7P_R+0.7P_B)/ (P₀₄+1.7P_R-0.7P_B)
抗大气光谱指数1	ARVI=(P₀₄-1.7P₀₅+0.7P_B)/ (P₀₄+1.7P₀₅-0.7P_B)
抗大气光谱指数2	ARVI=(P₀₄-1.7P₀₆+0.7P_B)/ (P₀₄+1.7P₀₆-0.7P_B)
抗大气光谱指数3	ARVI=(P₀₅-1.7P₀₆+0.7P_B)/ (P₀₅+1.7P₀₆-0.7P_B)
土壤调节植被指数	SAVI=(P₀₄-P_R)(1+L)/ (P₀₄+P_R+L)
土壤调节光谱指数1	SAVI=(P₀₄-P₀₅)(1+L)/ (P₀₄+P₀₅+L)
土壤调节光谱指数2	SAVI=(P₀₄-P₀₆)(1+L)/ (P₀₄+P₀₆+L)
土壤调节光谱指数3	SAVI=(P₀₅-P₀₆)(1+L)/ (P₀₅+P₀₆+L)
土壤调节植被指数	RVI=P₀₄/P_R
土壤调节光谱指数1	RVI=P₀₄/P₀₅
土壤调节光谱指数2	RVI=P₀₄/P₀₆
土壤调节光谱指数3	RVI=P₀₅/P₀₆

Table 2. Spectral vegetation indices

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光谱指数	相关系数	光谱指数	相关系数
NDVI	0.532 6	ESI2	0.587 2
NDSI1	0.662 3	ESI3	0.602 3
NDSI2	0.653 6	ARVI	0.452 6
NDSI3	0.881 0	ARSI1	0.695 2
RVI	0.546 3	ARSI2	0.602 3
RSI1	0.701 2	ARSI3	0.701 2
RSI2	0.685 3	SAVI	0.482 3
RSI3	0.632 3	SAVI1	0.632 5
EVI	0.513 6	SAVI2	0.542 3
ESI1	0.592 5	SAVI3	0.592 3

Table 3. Correlation coefficient types between spectral vegetation index and LAI of maize at milk stage

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