DocumentCode :
2990804
Title :
Monitoring land use/land cover changes of Kunming city based on remote sensing technology and spatial metrics
Author :
Ke Zhang ; Zhao, Yaolong ; Zhang, Hong
Author_Institution :
Sch. of Geogr., South China Normal Univ., Guangzhou, China
fYear :
2012
fDate :
15-17 June 2012
Firstpage :
1
Lastpage :
5
Abstract :
The plateau lakeside Kunming city has experienced three decades of rapid urbanization and high economic growth since 1978 when China adopted reform and “open-door” policy. Dianchi watershed in which Kunming city is located also experienced the serious deterioration of ecological system from the late 1970s. In search of a viable way to coordinate between urban growth and protection of freshwater lake, objective of this paper is to monitor land use/land cover change of Kunming city through the methods of Remote Sensing (RS), Geographic Information System (GIS), spatial metrics and Moran´s I. index. The results show that land use/land cover change in Kunming city is characterized by the sprawl of urban built-up area and the decrease of agricultural land. Urban built-up area has gradually replaced agricultural land to be the most dominant land use type in the study area. Urban growth of Kunming experienced a “clustered-dispersed-clustered” process, sprawling like an expanding pancake. There is very limited space for urban built-up area to further expand. Upon the analysis of the aspects that affect the sprawl characteristics, several useful suggestions were made for the authority and planners.
Keywords :
ecology; geographic information systems; geophysics computing; lakes; land use planning; terrain mapping; China; Kunming city; agricultural land; clustered-dispersed-clustered process; ecological system; freshwater lake protection; geographic information system; land cover change monitoring; land use change monitoring; open-door policy; plateau lakeside region; remote sensing method; remote sensing technology; spatial metrics method; sprawl characteristics; urban built-up area; Artificial intelligence; Cities and towns; Monitoring; GIS; LUCC; Moran´s I; Spatial metrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2012 20th International Conference on
Conference_Location :
Hong Kong
ISSN :
2161-024X
Print_ISBN :
978-1-4673-1103-8
Type :
conf
DOI :
10.1109/Geoinformatics.2012.6270335
Filename :
6270335
Link To Document :
بازگشت