DocumentCode :
711810
Title :
Urban growth in last three decades in Kuala Lumpur, Malaysia
Author :
Boori, Mukesh Singh ; Netzband, Maik ; Vozenilek, Vit ; Choudhary, Komal
Author_Institution :
Palacky Univ. Olomouc, Olomouc, Czech Republic
fYear :
2015
fDate :
March 30 2015-April 1 2015
Firstpage :
1
Lastpage :
4
Abstract :
This paper empirically examines an integrated study of urbanization in Kuala Lumpur City, Malaysia, by using Geographical Information Systems (GIS) and remote sensing. The study explores a multi buffer ring method to investigate the spatial and temporal dynamics of urban growth between 1989 - 2014. We classified Landsat images from 1989, 2001 and 2014 with a Maximum Likelihood classification scheme to produce land-cover maps and find four types of land cover: Settlement, Agriculture, Forest and Water. Then, the area coverage for all the land use types at different points in time were measured and coupled with the distance from the city center. Later on urbanization density from city center to outside for every 1 km distance is derived from 1 to 50 km. When comparing the time cuts of 1989 and 2014 at the distances of 5, 8, 15, 20 and 30 km, the city density is found as being increased at very high pace. Temporally urban expansion show fast and slow growth stages with high speed growth shifting to the east side of the city. In general, the population, traffic conditions, industrialization, and policy are the major factors that influenced the urban expansion.
Keywords :
geographic information systems; land cover; land use; remote sensing; AD 1989 to 2014; Kuala Lumpur City; Malaysia; Maximum Likelihood classification scheme; classified Landsat images; geographical information systems; land use types; land-cover maps; multibuffer ring method; remote sensing; urban expansion; urban growth spatial dynamics; urban growth temporal dynamics; urbanization integrated study; Geology; Image resolution; Lakes; Vegetation; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location :
Lausanne
Type :
conf
DOI :
10.1109/JURSE.2015.7120536
Filename :
7120536
Link To Document :
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