Residences information extraction from Landsat imagery using the multi-parameter decision tree method |
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| Authors: | Yujie Yang Shijie Wang Qiu Tan Chaojun Li Qin Li |
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| Institution: | 1. State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou Province, PR China;2. School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang, Guizhou Province, PR China;3. Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, Guizhou Province, PR China;4. School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang, Guizhou Province, PR China |
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| Abstract: | AbstractThe rapid and accurate grasp of changes in residences is crucial for urban planning and urbanisation. However, the traditional methods for extracting residences exists several problems, which lead to inaccurate extraction results. In this study, the Landsat image is used to establish a new method for extracting the residences quickly and accurately. The specific steps are as follows: (1) We calculate surface albedo to exclude the interference of waters and shadows; (2) Using single-band threshold method, we eliminate the interference of shadows; (3) Normalized Difference Vegetation Index is calculated to exclude the effects of vegetation; (4) Roads are removed by calculating the shape index. Verification shows that the accuracy of this extraction method is 92.81%, which is more accurate than the traditional methods and solves the problems existed in the traditional methods. This novel method is a new reference for other land cover research on the technical aspect. |
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| Keywords: | Landsat Geographic Information System decision tree residences extraction |
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