干旱区生态环境知识资源中心(Arid): 基于红边参数的芦苇叶绿素的反演研究

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	基于红边参数的芦苇叶绿素的反演研究
其他题名	Inversion model for chlorophyll content of Phragmites under different sample areas based on red edge parameter
	李春; 刘卫国; 丁旭; 邹杰; 马建伟; 王凤凤; 林喆
来源期刊	生态科学
ISSN	1008-8873
出版年	2017
卷号	36 期号:3 页码:66-73
中文摘要	干旱区荒漠植物的叶绿素定量反演是动态监测、快速有效评估植物生物量及长势的有效方法。利用便携式可见-近红外光谱仪FieldSpecPro3测定绿洲、盐碱地及沙漠3种生境内的芦苇高光谱值,对高光谱数据一阶微分以及红边参数与叶绿素含量进行了相关分析,选取最佳红边参数建立经验估算模型与神经网络模型,并评估检验。模型显示,三种生境下均为二项式回归模型的决定系数最佳,检验精度的决定系数(R~2)分别为0.8466、0.8672和0.7935,均方根误差RMSE (root-mean-square error)分别为2.3601、1.4112和2.8002; BP神经网络模型的检验精度的决定系数(R~2)分别为0.9147、0.9331和0.8813, RSME分别为1.4010、0.9964和0.5559。结果表明,利用BP(back propagation)神经网络估算的模型精确度显著提高,可作为芦苇叶绿素高光谱反演的有效模型而使用,为荒漠植物叶片叶绿素的光谱特征反演提供了借鉴,为监测荒漠植物生长、产量估算及动态监测等提供可行的手段。
英文摘要	The quantitative inversion of chlorophyll of desert plants in arid areas is an effective approach of dynamic monitoring and fast assessment of biomass and plant growth. Hyper spectral reflectances of Phragmites in Oasis habitat, saline area and desert habitat were measured by FieldSpecPro3 portable spectrometer. Correlation analysis was carried on hyperspectral data of first order and red edge parameters and chlorophyll content, meanwhile, red edge parameters were chose to establish optimal experience estimation model and the BPNN model. Models showed that the determination coefficients (R~2) of binomial regression model reached the best, which were 0.8466, 0.8672 and 0.7935; RMSE was 2.3601, 1.4112 and 2.8002. For BPNN model, R~2 of accuracy test separately was 0.9147, 0.9331 and 0.8813; RMSE was 1.4010, 0.9964 and 0.5559. Thus, the accuracy of BPNN was the best model and it could be widely used to be a kind of good chlorophyll hyperspectral inversion model, in providing reference for desert plant chlorophyll spectral characteristics of the inversion and providing a convenient and feasible way for monitoring plant growth and physiological characteristics.
中文关键词	芦苇 ; 红边参数 ; 叶绿素含量 ; 反演模型
英文关键词	Phragmites australis red edge parameter chlorophyll content inversion model
语种	中文
国家	中国
收录类别	CSCD
WOS类目	ECOLOGY
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:6031619
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/2XILL650/236424
作者单位	新疆大学资源与环境科学学院, 绿洲生态教育部重点实验室, 乌鲁木齐, 新疆 830046, 中国
推荐引用方式 GB/T 7714	李春,刘卫国,丁旭,等. 基于红边参数的芦苇叶绿素的反演研究[J]. 新疆大学,2017,36(3):66-73.
APA	李春.,刘卫国.,丁旭.,邹杰.,马建伟.,...&林喆.(2017).基于红边参数的芦苇叶绿素的反演研究.生态科学,36(3),66-73.
MLA	李春,et al."基于红边参数的芦苇叶绿素的反演研究".生态科学 36.3(2017):66-73.