Urban Expansion in China Based on Remote Sensing Technology: A Review |
| |
Authors: | Zengxiang Zhang Fang Liu Xiaoli Zhao Xiao Wang Lifeng Shi Jinyong Xu Sisi Yu Qingke Wen Lijun Zuo Ling Yi Shunguang Hu Bin Liu |
| |
Affiliation: | 1.Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing,China;2.University of Chinese Academy of Sciences,Beijing,China |
| |
Abstract: | Urban areas and its evolution are important anthropogenic indicators and human ecological footprints, and play decisive roles in environmental change analysis, global geo-conditional monitoring, and sustainable development. China has the highest rate of urban expansion and has emerged as an urban expansion hotspot worldwide. In this paper, the progress of studies on Chinese urban expansion based on remote sensing technology are summarized and analyzed from the aspects of urban area definition, remotely sensed imagery applied in urban expansion, monitoring methods of urban expansion, and urban expansion applications. Existing issues and future directions of Chinese urban expansion are discussed and proposed. Results indicate that: 1) The fusion of multi-source remotely sensed imagery is imperative to meet the needs of urban expansion with various monitoring terms and frequencies on different scales and dimensions. 2) To guarantee the classification accuracy and efficiency and describe urban expansion and its influences on local land use simultaneously, the combination of visual interpretation and automatic classification is the tendency of future monitoring methods of urban areas. 3) Urban expansion data have become the prerequisite for recognizing the urban development process, excavating its driving forces, simulating and predicting the future development directions, and also is conducive to revealing and explaining urban ecological and environmental issues. 4) In the past decades, Chinese scholars have promoted the application of remote sensing technology in the urban expansion field, with data construction, methods and models developing from the quotation stage to improvement and innovation stage; however, an independent and consistent urban expansion data on the national scale with long-term and high-frequency (such as annual monitoring) monitoring is still lacking. |
| |
Keywords: | |
本文献已被 CNKI SpringerLink 等数据库收录! |
|