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	A scale transform method for leaf area index retrieved from multi-resolutions remote sensing data
	Tao, Xin ; Yan, Binyan ; Wu, Daihui ; Fan, Wenjie ; Xu, Xiru
	2008
关键词	scaling transform leaf area index (LAI) spatial scaling non-linearity HETEROGENEITY CANOPY MODEL
英文摘要	Scaling effect of leaf area index (LAI) in remote sensing field means that values of LAI derived from different resolutions images also differ. The foundation of discussing LAI scaling effect problem is accurately retrieving LAI values from remote sensing images, and trying to exclude the influence of other factors. A hybrid model for continuous vegetation is chosen to retrieve LAI from reflectance images of 2.5 m, 10 m SPOT as well as 250 m and 500 m MODIS data. The task of scaling transform of LAI at different scales is deriving the expectation of LAI value at one specific scale from values of other scales. A formula for transforming LAI values at different scales is presented and successfully applied on these remote sensing images. The application results match well with ground truth.; Computer Science, Information Systems; Environmental Sciences; Mathematics, Applied; Remote Sensing; Statistics & Probability; CPCI-S(ISTP); 1
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/406856]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Tao, Xin,Yan, Binyan,Wu, Daihui,et al. A scale transform method for leaf area index retrieved from multi-resolutions remote sensing data. 2008-01-01.

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