Paper
24 October 2011 A GIS-based urban landscape change analysis of Lanzhou City, China
Caihong Meng, Yongchun Yang, Yanjun Liu, Haojie Hu
Author Affiliations +
Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 828620 (2011) https://doi.org/10.1117/12.912797
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China
Abstract
Well located at the geometric center of China, Lanzhou is one of the typical valley-basin cities in the western China. In this study, we aim to resolve two questions: (1) from the spatial analysis, we want to know what changes have happened on urban landscape characteristics from 1976 to 2004? (2) What is the main driving force behind the changes? This research is based on American quick bird remote sensing image of 2004 with a high resolution of 0.61m and the topographical map of Lanzhou city. In addition, the detailed land use data and some cadastral data in 1976 are collected as well as the current land use data. Based on the calculated result, we analyse the change characteristics of the classlevel metrics and landscape-level metrics of the Lanzhou city. Our results show that the change trend in landscape associated with urbanization of Lanzhou city can be effectively captured by spatial analysis using the remote sensing image and GIS data processing technique, and by calculating several landscape pattern metrics, such as patch density, edge density, Shannon diversity index, contagion, etc.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Caihong Meng, Yongchun Yang, Yanjun Liu, and Haojie Hu "A GIS-based urban landscape change analysis of Lanzhou City, China", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 828620 (24 October 2011); https://doi.org/10.1117/12.912797
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KEYWORDS
Roads

Geographic information systems

Remote sensing

Agriculture

Spatial analysis

Data processing

Ecosystems

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