期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 8
页码：859-864
出版社：Copernicus Publications
摘要：Fraction of vegetation cover (FVC) retrieved from remotely sensed re.ectance spectra serves as a useful measure of land cover change. Since its retrieval algorithms show variations in assumptions of re.ectance models and conditions imposed on the modeled spectra, the retrieved values also show some variations among the algorithms. This study discusses relationships among the FVC retrieval algo- rithms based on a well-known linear mixture model (LMM). The relationships among the algorithms were derived analytically within a framework of two-endmember LMM. It was clarified that some of the algorithms are equivalent in the sense that a one-to-one relation- ship exists among the algorithms. Numerical experiments had been conducted to evaluate the differences in error propagation among the algorithms induced by uncertainties in measured re.ectance (often represented by a signal-to-noise ratio). The results indicate that the error propagation mechanisms are different in some extent among the algorithms. Moreover, the magnitude of the propagated error depends on the location of a target re.ectance spectrum in the red-NIR re.ectance space. Although the re.ectance model employed in this study is quite limited, the fundamental aspects of the derived relationships would contribute to better understanding of the FVC retrievals.
关键词：Fraction of Vegetation Cover (FVC); Linear Mixture Model (LMM); Inter-Algorithm Relationship; Vegetation Index ; (VI); Error Propagation; Endmember
