Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data
Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data
复制标题
利用多时相遥感数据量化广州不同类型的城市增长和变化动态
DOI：
10.1016/j.jag.2011.12.012
复制
发表时间：
2013-04-01
影响因子：
7.5
通讯作者：
Wei, Jian-bing
中科院分区：
文献类型：
--
作者：
Sun, Cheng;Wu, Zhi-feng;Wei, Jian-bing
人们普遍关注城市的无计划扩张。它对自然资源、经济健康和社区特征都有负面影响。没有一个普遍的定义，城市蔓延的量化和建模是困难的。传统上，城市蔓延是用定性的术语和景观模式来描述的。为了帮助地方、区域和国家土地利用规划者更好地识别、理解和解决这一问题，需要定量的方法。本研究采用遥感和GIS相结合的方法，以中国广州市为例，识别出3种城市增长类型：填充增长、外围增长和边缘扩展增长。空间指标被用来描述城市增长的长期趋势和模式。结果表明，该方法可以识别和可视化不同的城市增长类型。充填生长是主要的扩张类型。边缘扩展集中在郊区。外围增长主要发生在离城市核心相对较远的地方。分析表明，城市地区最初主要是以外围增长的方式扩大，导致城市地区更加分散和分散。其次，增长向内填充了空置的非城市区域，形成了更加紧凑和聚集的城市格局。该研究表明，提高了对城市增长的认识，并有助于为城市规划提供一种有效的方法。(C)2012爱思唯尔有限公司版权所有。
There is a widespread concern about urban sprawl. It has negative impacts on natural resources, economic health, and community character. Without a universal definition of urban sprawl, its quantification and modeling is difficult. Traditionally, urban sprawl was described using qualitative terms, and landscape patterns. Quantitative methods are required to help local, regional and state land use planners to better identify, understand and address it. In this study, an integrated approach of remote sensing and GIS was used to identify three urban growth types of infilling growth, outlying growth and edge-expansion growth at the city of Guangzhou, China. Spatial metrics were used to characterize long-term trends and patterns of urban growth. Result shows that the proposed method can identify and visualize different urban growth types. Infilling growth is the dominant expansion type. Edge-expansion is concentrated at suburban areas. Outlying growth mainly occurs relatively far from the urban core. The analysis shows that initially the urban area expands mainly as outlying growth, causing increased fragmentation and dispersion of urban areas. Next, growth filled in vacant non-urban area inwards, resulting into a more compact and aggregated urban pattern. The study shows an improved understanding of urban growth, and helps to provide an effective way for urban planning. (C) 2012 Elsevier B.V. All rights reserved.