中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Satellite Image-Based Methods of Spatiotemporal Analysis on Sustainable Urban Land Use Change and the Driving Factors: A Case Study in Caofeidian and the Suburbs, China

文献类型:期刊论文

作者Yang, Guang1; Chao, Sara1; Tsou, Jin Yeu1; Zhang, Yuanzhi2,3
刊名SUSTAINABILITY
出版日期2019-05-02
卷号11期号:10页码:16
关键词urban land use change driving factors phenological phenomena satellite images Caofeidian
ISSN号2071-1050
DOI10.3390/su11102927
英文摘要As a typical rapid-development seaport area in coastal cities, such as Caofeidian, the study on the spatiotemporal changes of urban land use and its surrounding rural areas is valuable and significant in reference to the future urban planning and land policies in similar coastal areas of China or other countries. Based on satellite images, this research processes images in different years for summarizing the changes of vegetation, urban areas, and water areas in Caofeidian and the suburbs. This research aims to summarize the experience of the coastal city in the process of sustainable development by analyzing the dynamic trends and driving factors of land use spatial and temporal changes in the target area so that it provides a reference for the long-term development of the city. Meanwhile, it also hopes to give support for refining and improving the spatiotemporal analysis method for sustainable urban land use through the experiment. Due to the appearance of the results of the abnormal data, in the experiment process, this article adopts a comparative experiment to avoid the error of the analysis result and to find out the reason. The results show that the urban area for construction increased rapidly in the past twenty years, which is mainly affected by factors, such as economic development, policy guidance, environmental awareness, and environmental protection measures, especially guided by policies. Thus, coastal cities should stretch the planning of sustainable development from the three aspects combining with local characteristics. Besides, phenological phenomena and crops harvest time tremendously affect the images and calculation. The selection of remotely-sensed images should fully consider the characteristics of urban and rural locations, especially the impact of local phenological phenomena. The results of the analysis provide reference value and support for sustainable urban land management and development in the study area and other coastal cities.
资助项目National Key Research and Development Program of China[2016YFB0501501] ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences[XDPB11-01-04] ; China-Italy Collaborate Project for Lunar Surface Mapping[2016YFE0104400]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000471010300210
出版者MDPI
资助机构National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; China-Italy Collaborate Project for Lunar Surface Mapping ; China-Italy Collaborate Project for Lunar Surface Mapping ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; China-Italy Collaborate Project for Lunar Surface Mapping ; China-Italy Collaborate Project for Lunar Surface Mapping ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; China-Italy Collaborate Project for Lunar Surface Mapping ; China-Italy Collaborate Project for Lunar Surface Mapping ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; Pioneer Science and Technology Special Training Program B of Chinese Academy of Sciences ; China-Italy Collaborate Project for Lunar Surface Mapping ; China-Italy Collaborate Project for Lunar Surface Mapping
源URL[http://ir.bao.ac.cn/handle/114a11/26412]  
专题中国科学院国家天文台
通讯作者Zhang, Yuanzhi
作者单位1.Chinese Univ Hong Kong, Ctr Housing Innovat, Shatin, Hong Kong, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Key Lab Lunar Sci & Deep Space Explorat, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Yang, Guang,Chao, Sara,Tsou, Jin Yeu,et al. Satellite Image-Based Methods of Spatiotemporal Analysis on Sustainable Urban Land Use Change and the Driving Factors: A Case Study in Caofeidian and the Suburbs, China[J]. SUSTAINABILITY,2019,11(10):16.
APA Yang, Guang,Chao, Sara,Tsou, Jin Yeu,&Zhang, Yuanzhi.(2019).Satellite Image-Based Methods of Spatiotemporal Analysis on Sustainable Urban Land Use Change and the Driving Factors: A Case Study in Caofeidian and the Suburbs, China.SUSTAINABILITY,11(10),16.
MLA Yang, Guang,et al."Satellite Image-Based Methods of Spatiotemporal Analysis on Sustainable Urban Land Use Change and the Driving Factors: A Case Study in Caofeidian and the Suburbs, China".SUSTAINABILITY 11.10(2019):16.

入库方式: OAI收割

来源:国家天文台

浏览0
下载0
收藏0
其他版本

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。