| Simulate urban growth based on RS, GIS, and SLEUTH model in Shenyang-Fushun metropolitan area northeastern China | |
| Fengming,Xi ; Hong,S.He ; Yuanman,Hu ; Xiaoqing,Wu ; Rencang,Bu ; Yu,Chang ; Miao,Liu | |
| 通讯作者 | Fengming,X. |
| 2009 | |
| 会议名称 | 2009 Joint Urban Remote Sensing Event |
| 会议日期 | 2009-05-20 |
| ISBN号 | ISBN-13:9781424434619 |
| 产权排序 | (1) Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China; (2) Graduate University of CAS, Beijing, China; (3) Institute of Applied Ecology, CAS, Shenyang, China; (4) School of Natural Resources, University of Missouri, Columbia, MO, United States; (5) Institute of Coastal Zone Research for Sustainable Development, CAS, Yantai, China |
| 关键词 | Geographic Information Systems - Growth Rate - Information Systems - Managers - Rapid Solidification - Satellite Imagery - Time Series |
| 摘要 | Shenyang and Fushun are two most nearest mega cities in China. Integration of the two cities as one sub-administrative economic region is a state and province policy to promote economy development of Liaoning province. How the urban patterns of the mega cities will grow is interested to city planners, decision-makers, land managers, ecologists, geographers, and resource managers because it's special policy and spatiotemporal dynamic complexity. This study explore the combined application of remote sensing, geographical information system and SLEUTH urban growth model to analyze and model urban growth pattern in Shenyang-Fushun metropolitan area northeastern China. The sequential RS images can give quantitative descriptors of the geometry of urban form to be computed and compared over time. The investigation is based on a 16-year time series data set compiled from interpreted historical TM satellite imagery. The SLEUTH model was calibrated using the mutil-temporal data set for the 6391.12km2 area where has experienced rapid urbanization in recent years. The model allowed a spatial forecast of urban growth, and future growth was projected out to 2050 assuming four different policy scenarios: (1) current trends (CT), (2) accelerated urban development (AUD), (3) protected urban development (PUD), and (4) limitative urban growth (LUD). The predicted urban growth shows similar compact pattern under each scenario except the current trends scenario that shows diffused urban growth pattern and most diffused growth appears at south of region. Edge growth and road gravity growth are the main growth types in the future. The accelerated urban development scenario shows the most urban growth area. The limitative urban growth scenario shows the least urban growth area. The protected urban development scenario shows moderate urban growth area and good protection to other land resources. The urban land of two mega cities will connect firstly to a whole on the south bank of Hun River about in 2040 in the accelerated urban development and the current trends scenarios, and will not connect on the other two scenarios until 2050. The combined method using remote sensing, geographical information system and SLEUTH urban growth model is powerful for representation, modeling and prediction of the spatiotemporal urban growth, and useful for understanding the alternative future planning scenarios, but location accuracy and scenarios design must be further considered for local application. ©2009 IEEE. |
| 作者部门 | 信息集成与应用实验室 |
| 学科领域 | 地理学 |
| URL | 查看原文 |
| 语种 | 英语 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/4753 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
| 推荐引用方式 GB/T 7714 | Fengming,Xi,Hong,S.He,Yuanman,Hu,et al. Simulate urban growth based on RS, GIS, and SLEUTH model in Shenyang-Fushun metropolitan area northeastern China[C]:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2009. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Spatial-temporal cha（1156KB） | 开放获取 | -- | 浏览 下载 | |||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论