DocumentCode
2708727
Title
Using remote sensing and GIS to analyze land use/cover change and urban expansion in Xining City of Qinghai province, China
Author
Gao, Xiaohong ; Feng, Shichao ; Kang, Jian ; Wu, Guoliang ; Guo, Lifeng ; Zou, Chan ; Yang, Junjun ; Zhang, Yanjiao
Author_Institution
Sch. of Life & Geogr. Sci., Qinghai Normal Univ., Xining, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
6
Abstract
Four dates Landsat MSS, TM and ETM+ images together with historical topographic maps, land use maps were used to analyze and quantify the temporal dynamics and spatial pattern of land use/cover changes and identify the urban expansion in Xining city, northwest China. The results indicated that from 1977 to 2007, the areas of cultivated land, grassland and unused land decreased by 3.31%, 1.1% and 0.19%, respectively; in contrast, forest land, urban/built-up land increased by 3.8% and 0.75%, respectively. The significant change in land use occurred mainly during the period of 2000 and 2007. Urban area of Xining City had been expanded by 29.25ha over the entire study period, while 64.82% of an increase occurred during the seven-year period from 2000 to 2007. The conversion of cultivated land to forest land, to grassland for ecological protection and urban expansion at the expense of cultivated land were the main land use change.
Keywords
ecology; geographic information systems; geophysical techniques; terrain mapping; AD 1977 to 2007; ETM+ image; Landsat MMS image; Qinghai Province; TM image; Xining City; cultivated land; ecological protection; forest land; geographic information system; grassland; land cover; land use; northwest China; remote sensing; topographic maps; urban expansion; Cities and towns; Earth; Geographic Information Systems; Remote sensing; Satellites; Table lookup; Urban areas; China; Land use/land cover change; Remote Sensing and Geographical Information System (GIS); Xining city of Qinghai; urban expansion;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980840
Filename
5980840
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