Soybean Extraction of Brazil Typical Regions Based on Landsat8 Images

Abstract : Considering the spatial distribution and harvest times of Brazil soybean, using Landsat8 data, this paper chose 3 study area, determine the optimum classification images by visually comparison of multi-period images, extract soybean by ISODATA unsupervised classification method and visual correction. The conclusion is that Landsat8 path/row of 225/75 (between Study area3 and Study area2) are soybean transition area of harvest 1 time in a year and harvest 2 times in a year; Classification result can be used for sampling survey of national scale and the full coverage survey of county scale. Soybean classification method can be used to improve the method of low resolution image and to guide other medium resolution image.
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Communication dans un congrès
9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.41-47, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_4〉
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Kejian Shen, Xue Han, Haijun Wang, Weijie Jiao. Soybean Extraction of Brazil Typical Regions Based on Landsat8 Images. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.41-47, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_4〉. 〈hal-01614214〉

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