文章基本信息

标题：Training Scheme for Land-cover Mapsvalidation by Ground-truth
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作者：K. Iwao ; K. Nishida ; Y. Yamagata 等
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：2006
卷号：XXXVI Part 6
页码：157-159
出版社：Copernicus Publications
摘要：Land cover maps validation data acquisition from ground-truth is proposed. Land cover maps are used in the numerical models which estimate ecosystem behaviour, water cycle, and climate in global scale. Therefore, accuracy validation of these land cover maps is important. Each of the existing land cover map has been validated with its own validation method. However the distribution is restricted by the differences in the fields made into the researchers' interests and the researchers' experiences may affect those accuracies. As a result, there is no validation method which evaluates these land cover maps with single validation dataset in global scale. This might makes less agreement if the existing land cover maps are compared. To overcome these problems, authors summarized the matter which is needed by training for land cover validation data development which makes possible for many people to participate. This gives fairly uniform ground-truth information with accurate location information worldwide
关键词：Land Cover; Classification; Global-Environmental-Databases; Accuracy; Sampling