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Study on urban green landscape pattern based on high resolution remote sensing image

机译:基于高分辨率遥感影像的城市绿色景观格局研究

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To analyze the number of green landscape patches, their constitutive characteristic and spatial distribution in Karamay, this paper first conducted an extraction of green space information from 2012 QuickBird image of the city by means of combining object-oriented method, NDVI index and texture information together, followed by further division of the green space into six types. Finally, the method of spectrum analysis of landscape patches is applied. The result shows that, in 2012, the area of urban green space of Karamay city is 978.22ha, green space coverage is approximately 38.24%. Residential green space holds a dominant advantage over other types. Inferior are protective and attached green space. Road green space is large in patch numbers but small in the area while park green space is small in both patch numbers and the area. These conclusions can further assist urban green space management and planning in decision-making and provide data support for the analysis of water supply and demand of the city as well.
机译:为了分析克拉玛依地区的绿色景观斑块的数量,其构成特征和空间分布,本文首先将面向对象方法,NDVI指数和纹理信息相结合,从2012年QuickBird图像中提取了绿色空间信息。 ,然后将绿色空间进一步划分为六种类型。最后,应用景观斑块的频谱分析方法。结果表明,2012年克拉玛依市城市绿地面积为978.22ha,绿地覆盖率约为38.24%。与其他类型相比,住宅绿色空间具有主要优势。次要的是防护性的且附有绿色空间。道路绿地的斑块数量较大,但面积较小,而公园绿地的斑块数量和面积均较小。这些结论可进一步帮助城市绿地管理和规划决策,并为城市供水和需求分析提供数据支持。

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