干旱区生态环境知识资源中心(Arid): 作物LAI的遥感尺度效应与误差分析

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	作物LAI的遥感尺度效应与误差分析
其他题名	Scale effect and error analysis of crop LAI inversion
	朱小华 1; 冯晓明 2; 赵英时 3; 宋小宁 3
来源期刊	遥感学报
ISSN	1007-4619
出版年	2010
卷号	14 期号:3 页码:579-592
中文摘要	以黑河中游盈科绿洲为研究区,利用Hyperion高光谱数据,采用双层冠层反射率模型(ACRM)迭代运算反演LAI;通过LAI的均值化(LAImean)以及Hyperion数据反射率线性累加反演LAI(LAIp),定量分析LAI反演的尺度效应;从模型的非线性和地表景观结构的空间异质性2个方面分析引起反演误差的原因,并在LAI-NDVI回归方程的基础上利用泰勒展开的方法对低分辨率数据反演结果进行了误差纠正.结果表明,地表景观结构的空间异质性是造成多尺度LAI反演误差的关键因素,通过泰勒展开式能很好地实现大尺度数据LAI反演结果的误差纠正
英文摘要	Leaf area index(LAI) is an important bio-physical character of vegetation and can be effectively achieved through remote sensing technology. However the LAI inversion from low resolution data induces a scaling bias due to the heterogeneous of the surface and model non-linearity, which may cause the scale effect on the LAI estimate. In this work, the Yingke oasis of Heihe River is selected as the study area. Based on Hyperion data,a two-layer canopy reflectance model(ACRM) is introduced to calculate LAI.The low resolution LAI are then achieved in two ways: LAImean, the mean of LAI,is directly calculated from Hyperion;and the LAIp is computed from linear cumulative Hyperion data. Statistics shows that there is a serious underestimation of LAIp.On the basis of LAI-NDVI regresion equation, the Taylor Mean Value Theorem is applied to creat an error factor and to conduct scaling error correction. The result of error correction(LAIr) has a high relationship with LAImean, which shows that the method is effective and suitable for scale effect correction and can be used to correct other LAI product, such as MODIS LAI. Finally, the causes for scaling bias are discussed. It is found that the spatial heterogeneous is the key factor which may lead to the error in LAI inversion
中文关键词	叶面积指数 ; 尺度效应 ; 反演 ; 误差纠正
英文关键词	Hyperion Hyperion leaf area index scale effect inversion error correction
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:4039828
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/225845
作者单位	1.中国科学院遥感应用研究所, 北京 100101, 中国; 2.中国科学院生态环境研究中心, 北京 100085, 中国; 3.中国科学院研究生院, 北京 100049, 中国
推荐引用方式 GB/T 7714	朱小华,冯晓明,赵英时,等. 作物LAI的遥感尺度效应与误差分析[J],2010,14(3):579-592.
APA	朱小华,冯晓明,赵英时,&宋小宁.(2010).作物LAI的遥感尺度效应与误差分析.遥感学报,14(3),579-592.
MLA	朱小华,et al."作物LAI的遥感尺度效应与误差分析".遥感学报 14.3(2010):579-592.