文章基本信息

标题：EMPIRICAL ESTIMATION OF VEGETATION PARAMETERS USING MULTISENSOR DATA FUSION
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作者：Franz KURZ ; Olaf HELLWICH
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：2000
卷号：XXXIII Part B7(/1-4)
页码：733-737
出版社：Copernicus Publications
摘要：To estimate parameters of large-scale vegetation heterogeneity for the determination of soil heterogeneity a method based on fusion of multisensor image and pointwise ground-truth data is proposed. Regression analysis of multispectral imagery and ground-truth data is used to map soil indicative vegetation parameters for the area of a complete field. With high- resolution aerial imagery natural and disturbances in a field, like tracks, weed-stripes and turning areas of crop machines, can be detected and excluded from mapping of vegetation heterogeneity. The disturbances caused by human cultivation and external natural in.uences hinder the estimation of the underlying soil condition. First results show the strong in- .uence of disturbances on multispectral imagery and poor applicability of linear regression equations for predicting soil indicative vegetation parameters
关键词：Agriculture; Data fusion; Multi-sensor; Land use/Land cover; GIS