By multi-sources' and multi-temporal satellite images data gathering,the evolution of landscape pattern in 2009-2017 years in Lu'an city was analyzed by using support vector machine classification and GIS technology.The results showed:①The feature interpreting of image object is significant on Sentinel-2 satellite image,also the image resolution to meet the object classes identified standard and the overall classification precision reaches 92.41％.② In the dynamic change of Landscape structure,the water area remained stable,construction area increased by about 3.4 times and the eastward expansion tendency is obvious;the total amount of arable area and forest area decreased year by year in the eastern region and tends to be fragmented;unused areas is affected by the expansion of construction area,which has been in the wave changes.③In landscape evolution,water area maintains the dynamic equilibrium state,construction area and arable area increased respectively by 80.61％ and 55.64％,forest area and unused land reduced significantly by 63.39％ and 72.33 ％ respectively.④In the later stage of evolution,the construction area and arable area has been speeded up obviously,and the evolution rate of arable land began to decline,also the urban expansion is remarkable.%通过收集六安市城区多源多时相卫星影像数据,采用支持向量机分类方法和GIS技术,分析了2009-2017年的景观格局演化情况.结果表明:①Sentinel-2影像地物解译特征显著,图像分辨率满足地物类别识别,总体分类精度达92.41％;②在景观结构动态变化中,水域基本保持稳定,建设用地面积增长了约3.4倍,且向东扩展趋势明显;耕地和林地面积总量逐年下降,在东部区域趋于破碎化;未利用地则受建设用地扩大速度的影响,一直处于波动变化中;③在景观格局演化中,水域保持动态平衡状态,建设用地和耕地增加量分别达80.61％和55.64％,林地和未利用地面积减少明显,分别达63.39％和72.33％;④演化后期的建设用地和林地演化速度明显加快,而耕地面积速度开始下降,城市扩展显著.
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机译：标题 作者 关键词 摘要 正文 全文下载次数：91 2019年第5期 DOI：10.22217/upi.2019.388 基于多源大数据的城市街道可步行性空间特征及优化策略研究 —— 以南京市中心城区为例 Research on Characteristics and Interactive Mechanism of Street Walkability Through Multi-source Big Data: Nanjing Central District as a Case Study
