GF-1/WFV在玉米叶面积指数估算中的应用研究

doi:10.3969/j.issn.1004-1524.2021.05.12

浙江农业学报 ›› 2021, Vol. 33 ›› Issue (5): 861-872.DOI: 10.3969/j.issn.1004-1524.2021.05.12

GF-1/WFV在玉米叶面积指数估算中的应用研究

张矞勋¹^,²(), 王磊¹^,²^,^*(), 璩向宁¹^,², 曹媛¹^,², 吴梦瑶¹^,², 于瑞鑫¹^,², 孙源³

1.宁夏大学西北土地退化与生态系统恢复省部共建国家重点实验室培育基地,宁夏银川 750021
2.宁夏大学西北退化生态系统恢复与重建教育部重点实验室,宁夏银川 750021
3.中国科学院遥感与数字地球研究所,北京 100101

收稿日期:2020-09-25 出版日期:2021-05-25 发布日期:2021-05-25
通讯作者: 王磊
作者简介:*王磊,E-mail:WL8999@163.com
张矞勋(1996—),男,山西运城人,硕士研究生,研究方向为植被与生态遥感。E-mail:17839221635@163.com
基金资助:
国家自然科学基金(31760707);国家民用空间基础设施陆地观测卫星共性应用支撑平台(Y930280A2F);宁夏回族自治区西部一流学科建设项目(NXYLXK2017B06)

Application research of GF-1/WFV data in estimation of maize leaf area index

ZHANG Yuxun¹^,²(), WANG Lei¹^,²^,^*(), QU Xiangning¹^,², CAO Yuan¹^,², WU Mengyao¹^,², YU Ruixin¹^,², SUN Yuan³

1. Breeding Base for State Key Laboratory of Land Degradation and Ecosystem Restoration in Northwest China, Ningxia University, Yinchuan 750021, China
2. Key Laboratory for Restoration and Reconstruction of Degenerated Ecosystem in Northwest China under Ministry of Education, Ningxia University, Yinchuan 750021, China
3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Received:2020-09-25 Online:2021-05-25 Published:2021-05-25
Contact: WANG Lei

摘要/Abstract

摘要：

叶面积指数(leaf area index,LAI)是植被冠层重要的结构参数之一,与冠层生理过程密切相关,也是植被遥感领域关注的重要参数之一。本研究对已在轨运行7年的高分一号卫星WFV传感器的植被监测性能进行评测,以吉林省农安县典型玉米分布区作为研究区域,结合地面同步观测的叶面积指数和冠层光谱等实测数据,借助归一化植被指数(NDVI)、比植被指数(RVI)、大气阻抗植被指数(ARVI)、土壤调节植被指数(SAVI)、修改性土壤调节植被指数(MSAVI)这5种植被指数,对比分析地面实测光谱与GF-1/WFV光谱对玉米冠层叶面积指数的估算能力。通过决定系数(R²)、均方根误差(RMSE)、相对误差(RE)和预测残差(RPD)等参数筛选最优模型。研究结果显示,各种植被指数与LAI之间的相关性均表现为地面实测光谱高于GF-1/WFV星载光谱;对比不同植被指数与LAI的相关性发现,地面光谱和星上光谱构造的植被指数中,均表现为MSAVI与LAI的相关性最高;基于地面光谱和星上光谱的MSAVI构建的估算模型中,R²最高值所对应的函数类型不同,基于地面光谱的函数中,R²最高值对应的是指数模型,而基于GF-1/WFV星上光谱的函数中,二项式的R²最高。

关键词: 高分一号, 植被指数, 玉米, 叶面积指数, 估算模型

Abstract:

The leaf area index (LAI), which plays a key role in response of the structural parameters of vegetation canopy, is closely related to the physiological process of the canopy. It is also one of the important parameters in the field of vegetation remote sensing. In the typical maize distribution area in Nong’an County of Changchun, combined with the measured data, the leaf area index and canopy spectrum were simultaneously observed on the ground. With the help of the normalized vegetation index (NDVI), ratio vegetation index (RVI), atmospheric regulation vegetation index (ARVI), soil adjustment vegetation index (SAVI), modified soil adjustment vegetation index (MSAVI).The ground measured spectrum data and GF-1/WFV spectrum data in estimating maize canopy leaf area index were compared and analyzed. After that, the optimal model was screened by parameters, such as coefficient of determination (R²), root-mean-square error (RMSE), relative error (RE) and residual prediction deviation (RPD). The results showed that the correlation between the different vegetation indexes and LAI of the ground-measured spectral data was higher than that of the GF-1/WFV spaceborne spectral data. In the comparison of the correlation between the different vegetation indexes and LAI, it was found that MSAVI had the highest correlation with LAI among the vegetation indexes of the ground spectrum and the satellite spectrum structure. In the estimation model based on ground spectral data and satellite spectral data, the function types corresponding to the highest R ² between MSAVI and LAI were different. For the measured spectrum, R ² was corresponded to the exponential function model, and for the satellite spectrum, it was corresponded to the quadratic function model.

Key words: GF-1, vegetation index, maize, leaf area index, estimation model

中图分类号:

S127
TP79

张矞勋, 王磊, 璩向宁, 曹媛, 吴梦瑶, 于瑞鑫, 孙源. GF-1/WFV在玉米叶面积指数估算中的应用研究[J]. 浙江农业学报, 2021, 33(5): 861-872.

ZHANG Yuxun, WANG Lei, QU Xiangning, CAO Yuan, WU Mengyao, YU Ruixin, SUN Yuan. Application research of GF-1/WFV data in estimation of maize leaf area index[J]. Acta Agriculturae Zhejiangensis, 2021, 33(5): 861-872.

图/表 11

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植被指数 Vegetation index	函数类型 Function type	实测光谱数据Measured spectrum data		高分一号GF-1
植被指数 Vegetation index	函数类型 Function type	R²	调整R² Residual sum of squares	R²	调整R² Residual sum of squares
NDVI	线性Linear function	0.738	0.722	0.625	0.609
	对数Logarithmic function	0.737	0.728	0.635	0.620
	二次Quadratic function	0.737	0.708	0.685	0.657
	幂Power function	0.747	0.734	0.613	0.579
	指数Exponential function	0.757	0.740	0.602	0.585
RVI	线性Linear function	0.700	0.687	0.548	0.530
	对数Logarithmic function	0.736	0.722	0.592	0.576
	二次Quadratic function	0.731	0.712	0.669	0.642
	幂Power function	0.718	0.704	0.583	0.566
	指数Exponential function	0.693	0.677	0.534	0.515
ARVI	线性Linear function	0.687	0.653	0.680	0.667
	对数Logarithmic function	0.649	0.636	0.682	0.669
	二次Quadratic function	0.670	0.648	0.682	0.657
	幂Power function	0.688	0.680	0.674	0.661
	指数Exponential function	0.716	0.704	0.671	0.657
SAVI	线性Linear function	0.771	0.760	0.671	0.655
	对数Logarithmic function	0.765	0.754	0.682	0.667
	二次Quadratic function	0.764	0.732	0.714	0.685
	幂Power function	0.763	0.751	0.654	0.638
	指数Exponential function	0.757	0.745	0.642	0.625
MSAVI	线性Linear function	0.808	0.798	0.676	0.650
	对数Logarithmic function	0.808	0.798	0.693	0.678
	二次Quadratic function	0.808	0.787	0.742	0.716
	幂Power function	0.812	0.802	0.665	0.639
	指数Exponential function	0.814	0.804	0.656	0.619

植被指数 Vegetation index	函数类型 Function type	实测光谱数据Measured spectrum data		高分一号GF-1
植被指数 Vegetation index	函数类型 Function type	R²	调整R² Residual sum of squares	R²	调整R² Residual sum of squares
NDVI	线性Linear function	0.738	0.722	0.625	0.609
	对数Logarithmic function	0.737	0.728	0.635	0.620
	二次Quadratic function	0.737	0.708	0.685	0.657
	幂Power function	0.747	0.734	0.613	0.579
	指数Exponential function	0.757	0.740	0.602	0.585
RVI	线性Linear function	0.700	0.687	0.548	0.530
	对数Logarithmic function	0.736	0.722	0.592	0.576
	二次Quadratic function	0.731	0.712	0.669	0.642
	幂Power function	0.718	0.704	0.583	0.566
	指数Exponential function	0.693	0.677	0.534	0.515
ARVI	线性Linear function	0.687	0.653	0.680	0.667
	对数Logarithmic function	0.649	0.636	0.682	0.669
	二次Quadratic function	0.670	0.648	0.682	0.657
	幂Power function	0.688	0.680	0.674	0.661
	指数Exponential function	0.716	0.704	0.671	0.657
SAVI	线性Linear function	0.771	0.760	0.671	0.655
	对数Logarithmic function	0.765	0.754	0.682	0.667
	二次Quadratic function	0.764	0.732	0.714	0.685
	幂Power function	0.763	0.751	0.654	0.638
	指数Exponential function	0.757	0.745	0.642	0.625
MSAVI	线性Linear function	0.808	0.798	0.676	0.650
	对数Logarithmic function	0.808	0.798	0.693	0.678
	二次Quadratic function	0.808	0.787	0.742	0.716
	幂Power function	0.812	0.802	0.665	0.639
	指数Exponential function	0.814	0.804	0.656	0.619

数据 Data	植被指数 Vegetation index	函数类型 Function type	R²	调整R² Residual sum of squares
实测光谱数据	NDVI	指数Exponential function	0.757	0.740
Measured spectrum data	RVI	对数Logarithmic function	0.736	0.722
	ARVI	指数Exponential function	0.716	0.704
	SAVI	线性Linear function	0.771	0.760
	MSAVI	指数Exponential function	0.814	0.804
高分一号	NDVI	二次Quadratic function	0.684	0.657
GF-1/WFV	RVI	二次Quadratic function	0.669	0.642
	ARVI	对数Logarithmic function	0.682	0.669
	SAVI	二次Quadratic function	0.714	0.685
	MSAVI	二次Quadratic function	0.742	0.716

数据 Data	植被指数 Vegetation index	函数类型 Function type	R²	调整R² Residual sum of squares
实测光谱数据	NDVI	指数Exponential function	0.757	0.740
Measured spectrum data	RVI	对数Logarithmic function	0.736	0.722
	ARVI	指数Exponential function	0.716	0.704
	SAVI	线性Linear function	0.771	0.760
	MSAVI	指数Exponential function	0.814	0.804
高分一号	NDVI	二次Quadratic function	0.684	0.657
GF-1/WFV	RVI	二次Quadratic function	0.669	0.642
	ARVI	对数Logarithmic function	0.682	0.669
	SAVI	二次Quadratic function	0.714	0.685
	MSAVI	二次Quadratic function	0.742	0.716

数据 Data	植被指数 Vegetation index	函数类型 Function type	表达式 Expression
实测光谱数据	NDVI	指数Exponential function	y =0.0493e^4.7955^x
Measured spectrum data	RVI	对数Logarithmic function	y=1.9421ln(x)-1.9457
	ARVI	指数Exponential function	y=0.1341e^3.8751^x
	SAVI	线性Linear function	y =12.197x-12.596
	MSAVI	指数Exponential	y =0.0019e^8.0142^x
高分一号	NDVI	二次Polynomial function	y =-105.51x²+166.75x - 61.886
GF-1/WFV	RVI	二次Polynomial function	y=-0.1668x²+2.6269x-6.4054
	ARVI	对数Logarithmic function	y=8.3808ln(x)+5.9208
	SAVI	二次Polynomial function	y=-116.16x²+123.92x - 28.995
	MSAVI	二次Polynomial function	y=-96.689x²+102.23x - 22.956

GF-1/WFV在玉米叶面积指数估算中的应用研究

Application research of GF-1/WFV data in estimation of maize leaf area index

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指标 Index	数据来源 Data sources	NDVI	RVI	ARVI	SAVI	MSAVI
RE	高分一号GF-1/WFV	0.0614	0.0665	0.0709	0.0590	0.0581
	实测光谱Measured spectrum	0.0563	0.0560	0.0588	0.0548	0.0476
RPD	高分一号GF-1/WFV	1.6070	1.5471	1.4936	1.7035	1.7108
	实测光谱Measured spectrum	1.7379	1.7100	1.6533	1.7573	2.0986
RMSE	高分一号GF-1/WFV	0.2621	0.2675	0.2937	0.2508	0.2502
	实测光谱Measured spectrum	0.2372	0.2340	0.2561	0.2293	0.2082

植被指数 Vegetation index	高分一号 GF-1	实测光谱 Measured spectrum
NDVI	0.833^**	0.854^**
RVI	0.806^**	0.858^**
ARVI	0.825^**	0.781^**
SAVI	0.853^**	0.862^**
MSAVI	0.857^**	0.894^**

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