DocumentCode :
494415
Title :
Land Use/Cover Change Process and Driving Force Analysis in Lianyungang
Author :
Yan-fen, Liu ; Jie, Zhang ; Yi, Ma
Author_Institution :
Inst. of Yantai Coastal Zone & Sustainable Dev., Chinese Acad. of Sci., Yantai
Volume :
1
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
600
Lastpage :
603
Abstract :
Land use/cover change is an important issue for global environmental research. Combined with the use of GIS, this paper explores the utilities of CBERS images to analyze the land use/cover changes in the city of Lianyungang, and analyzes the driving forces by the principal component analysis. Results show that during the past 8 years, the local land use pattern has changed greatly, especially for the land types with lower economic benefits, which have been converted to those with higher economic benefits. Among them, areas of the cultivated land and saltern land decreased greatly and most of them had been transformed to construction land. The unused land converted to construction land also increased significantly. Socio-economic factors such as population, economic development and scientific technology have major effect on the regional landscape dynamics.
Keywords :
geographic information systems; geophysical signal processing; image resolution; land use planning; principal component analysis; remote sensing; spatiotemporal phenomena; terrain mapping; CBERS image; GIS; Lianyungang; land use/cover change process; principal component analysis; remote sensing image; spatial-temporal resolution; Cities and towns; Educational technology; Environmental economics; Geographic Information Systems; Image analysis; Marine technology; Remote monitoring; Remote sensing; Sea measurements; Spatial resolution; Lianyungang; driving force; land use/cover change; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
Type :
conf
DOI :
10.1109/ETTandGRS.2008.266
Filename :
5070229
Link To Document :
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