Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping

文献类型： 外文期刊

第一作者： Hu, Qiong

作者： Hu, Qiong;Wu, Wenbin;Xia, Tian;Yu, Qiangyi;Yang, Peng;Li, Zhengguo;Song, Qian;Hu, Qiong;Wu, Wenbin;Xia, Tian;Yu, Qiangyi;Yang, Peng;Li, Zhengguo;Song, Qian

作者机构：

关键词： Google Earth;QuickBird;land use;cover;object-based;classification

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN： 2072-4292

年卷期： 2013 年 5 卷 11 期

页码：

收录情况： SCI

摘要： Google Earth (GE) releases free images in high spatial resolution that may provide some potential for regional land use/cover mapping, especially for those regions with high heterogeneous landscapes. In order to test such practicability, the GE imagery was selected for a case study in Wuhan City to perform an object-based land use/cover classification. The classification accuracy was assessed by using 570 validation points generated by a random sampling scheme and compared with a parallel classification of QuickBird (QB) imagery based on an object-based classification method. The results showed that GE has an overall classification accuracy of 78.07%, which is slightly lower than that of QB. No significant difference was found between these two classification results by the adoption of Z-test, which strongly proved the potentials of GE in land use/cover mapping. Moreover, GE has different discriminating capacity for specific land use/cover types. It possesses some advantages for mapping those types with good spatial characteristics in terms of geometric, shape and context. The object-based method is recommended for imagery classification when using GE imagery for mapping land use/cover. However, GE has some limitations for those types classified by using only spectral characteristics largely due to its poor spectral characteristics.

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