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	光谱指数的植物叶片叶绿素含量估算模型
其他题名	Research on Spectrum Variance of Vegetation Leaves and Estimation Model for Leaf Chlorophyll Content Based on the Spectral Index
	李哲 1; 张飞2 ; 陈丽华 3; 张海威 1
来源期刊	光谱学与光谱分析
ISSN	1000-0593
出版年	2018
卷号	38 期号:5 页码:1533-1539
中文摘要	叶片叶绿素能够有效监测植被的生长状况,利用光谱指数反演植被叶绿素含量是目前的通用方法。实测了盐生植物光谱反射率和叶片叶绿素含量。对SPAD值进行变换,对比Pearson与VIP方法探讨盐生植被叶片叶绿素含量与植被指数的相关性并进行精度验证,从中选出最佳拟合模型。研究表明,通过对Pearson与VIP相关性分析,最终选定VIP方法建立植被指数的叶片叶绿素估算模型,NDVI_(705),ARVI, CI_(red edge),PRI,VARI,PSRI和NPCI的VIP值均大于0.8,因此选定这七个植被指数为最优植被指数;预测结果显示,所有模型的相关性都在0.7以上,预测值与实测值相关性最好的是经过倒数变换的SPAD值,R=0.816,RMSE=0.007。基于VIP方法的反演模型能较好地估算研究区植被叶绿素含量,该方法为植物叶绿素含量诊断的实际应用提供了重要的理论依据和技术支持。
英文摘要	The chlorophyll can effectively monitoring vegetation growth status,currently the hyperspectral vegetation index(VI) is one of the common methods that have been widely applied to estimate the leaf chlorophyll content(LCC)inversion.Non-destructive rapid estimation of chlorophyll using hyperspectral remote sensing technology is a prerequisite to dynamically monitor chlorophyll content,and it is an important research issue of vegetation remote sensing.The author measured the leaf spectral reflectance and chlorophyll relative content of desert plants,analyzed the spectral curves of different desert plants under the same chlorophyll content,then transformed the SPAD value,compared Pearson and VIP methods to study the correlation between chlorophyll content and vegetation index of desert vegetation.Finally,the author selected the best fitting model from accuracy test.The results showed that:Based on the comparative analysis between Pearson and VIP,established the chlorophyll content estimation model by VIP method,selected 7vegetation indices,which was NDVI_(705),ARVI,CI_(red edge),PRI,VARI,PSRI and NPCI respectively,the value of VIP all greater than 0.8,thus these 7vegetation indices were the optimal vegetation indices. The prediction results indicated that the correlation of all models was more than 0.7,the best correlation between the predicted value and the measured value was the SPAD value of the reciprocal transformation,R=0.816,RMSE=0.007.The inversion model based on VIP method can estimate the chlorophyll content of vegetation in the study area,it provides an important theoretical basis and technical support for the practical application in the diagnosis of plant chlorophyll content.
中文关键词	叶绿素含量 ; 植被指数 ; 估算模型
英文关键词	Chlorophyll content Vegetation index Estimation model
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6243810
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/237793
作者单位	1.新疆大学资源与环境科学学院;;新疆大学, ;;绿洲生态教育部重点实验室, 乌鲁木齐;;乌鲁木齐, 新疆;;新疆 830046;;830046, 中国; 2.新疆大学资源与环境科学学院;;新疆大学;;新疆智慧城市与环境建模普通高校重点实验室, ;;绿洲生态教育部重点实验室;;新疆智慧城市与环境建模普通高校重点实验室, 乌鲁木齐;;乌鲁木齐;;乌鲁木齐, 新疆;;新疆;;新疆 830046;;830046;;830046, 中国; 3.新疆艾比湖湿地国家级自然保护区管理局, 博乐, 新疆 833400, 中国
推荐引用方式 GB/T 7714	李哲,张飞,陈丽华,等. 光谱指数的植物叶片叶绿素含量估算模型[J]. 新疆大学,2018,38(5):1533-1539.
APA	李哲,张飞,陈丽华,&张海威.(2018).光谱指数的植物叶片叶绿素含量估算模型.光谱学与光谱分析,38(5),1533-1539.
MLA	李哲,et al."光谱指数的植物叶片叶绿素含量估算模型".光谱学与光谱分析 38.5(2018):1533-1539.