DocumentCode :
2879254
Title :
Lianyungang Urban Expansion Model Analysis Based on Remote Sensing and Geographical Information System
Author :
Xia Lu ; Hongquan Xie
Author_Institution :
Sch. of Geodesy & Geomatics Eng., Huaihai Inst. of Technol., Lianyungang, China
fYear :
2012
fDate :
1-3 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
Multi-temporal remote sensing data were taken as data source, land use/ land cover change during the process of urban expansion was extracted by supervise method. On this basis, temporal and spatial variation rules for typical urban land were analyzed in detail and urban expansion model was discussed by visual interpretation method. Researches were indicated that the expansion speed of salt fields and aquiculture regions were the quickest during about ten years, while the total area of farmland in 2009 was larger than that in 2002. On the other hand, urban expansion model was concluded: in Xinpu district, axial direction banding and low density sprawl were the main model of urban expansion; in Donghai county, reticulation expansion and skipping expansion were the main expansion model. While, axial direction banding and round-sprawl in Ganyu county, axial direction banding and reticulation expansion in Guanyun county, and axial direction banding and round-sprawl and skipping expansion in Guannan county. Above analysis is showed that: Land use/ land cover change detection using multi-temporal images by remote sensing (RS) and geographical information system (GIS) technology are one of effective means of analyzing urban expansion.
Keywords :
geographic information systems; land use planning; terrain mapping; AD 2009; China; Donghai county; Ganyu county; Lianyungang urban expansion model; Xinpu district; aquiculture regions; axial direction banding; farmland area; geographical information system; land cover change detection; land use change detection; low density sprawl; multitemporal images; multitemporal remote sensing data; reticulation expansion analysis; skipping expansion analysis; spatial variation; temporal variation; urban land analysis; visual interpretation method; Analytical models; Biological system modeling; Earth; Educational institutions; Remote sensing; Satellites; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
Type :
conf
DOI :
10.1109/RSETE.2012.6260616
Filename :
6260616
Link To Document :
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