Paper
19 March 2013 Agricultural and urban land use change analysis in Changping County, Beijing, using remote sensing and GIS
Meng Guo, Xiaoxia Huang, Hongga Li, Xia Li, An Ming
Author Affiliations +
Proceedings Volume 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 876208 (2013) https://doi.org/10.1117/12.2020179
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China
Abstract
Urban growth is regarded as a necessary transitional stage for a sustainable economy, but uncontrolled or arbitrary urban growth rapidly consumes rural resources and causes environmental pollution, ecological deterioration. In this paper, we developed a remote sensing and GIS-based integrated approach to monitor and analyze agricultural and urban spatial land use and ecological landscape change characteristics. In the proposed approach, multi-temporal satellite images from 1995 to 2010 were selected and classified to obtain land cover and use spatial changes. And GIS was used to analyze variation tendency for land use and ecological landscape indices. Experiments were performed in the Changping County, north of Beijing to analyze rapid urbanization effects in the past two decades, especially during the Beijing 2008 Olympic Games. The results indicate that there has been a notable urban growth and a visible loss about 38.8% in cropland, meanwhile dominated landscape structures and patterns have greatly changed from agriculture to urban in the study area.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Meng Guo, Xiaoxia Huang, Hongga Li, Xia Li, and An Ming "Agricultural and urban land use change analysis in Changping County, Beijing, using remote sensing and GIS", Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 876208 (19 March 2013); https://doi.org/10.1117/12.2020179
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Agriculture

Geographic information systems

Remote sensing

Image fusion

Vegetation

Earth observing sensors

Data corrections

Back to Top