DocumentCode :
652430
Title :
Determination of Sustainable Land Potential Based on Priority Ranking: Multi-criteria Analysis (MCA) Technique
Author :
Reba, M.N.M. ; Rosli, A.Z. ; Makhfuz, M.A. ; Sabarudin, N.S. ; Roslan, N.H.
Author_Institution :
Inst. for Sci. & Technol. Geospatial (INSTeG), Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2013
fDate :
24-27 June 2013
Firstpage :
212
Lastpage :
218
Abstract :
Advancement in remote sensing technology and geographic information system (GIS) provides an effective tool for monitoring the change of environment in urban areas. At the same time it is very useful for planning, managing and developing the sustainable urbanization city. This paper aims to assess capability of integrating remote sensing and GIS to provide information for urban forest potential sites based on priority parameter ranking in southern Johor. The location was chosen because of rapid urbanization is currently developed by the Iskandar Regional Development Authority (IRDA). High resolution satellite image was used to convey high accuracy in space. The integration of landuse, soils and hydrological information with digital elevation model (DEM) data renders assistance for detecting and locating present ground features and attributes on satellite image. Multi-Criteria Analysis (MCA) techniques provides structural process for quantifying and comparing the decision elements and criteria in a pair-wise basis for priority ranking urban forestry purpose. The criteria such as slope, soil texture, drainage, spatial area, and availability of natural resource, reservation or protection and also the vicinity of urban area are considered as experimental in this research. Total potential suitability score for each criteria unit (i.e. each cell in a raster map) is calculated from a linear combination of the available criteria for each parameters involved.
Keywords :
digital elevation models; environmental monitoring (geophysics); feature extraction; forestry; geographic information systems; geophysical image processing; image resolution; land use planning; remote sensing; sustainable development; DEM data; GIS; IRDA; Iskandar Regional Development Authority; MCA technique; digital elevation model; drainage; environment change monitoring; geographic information system; ground features detection; ground features location; high resolution satellite image; hydrological information; landuse; multicriteria analysis; natural resource availability; natural resource protection; natural resource reservation; potential suitability score; priority parameter ranking; rapid urbanization; raster map; remote sensing technology; slope; soil texture; southern Johor; spatial area; structural process; sustainable land potential; sustainable urbanization city development; sustainable urbanization city management; sustainable urbanization city planning; urban area vicinity; urban forest potential sites; urban forestry; Accuracy; Cities and towns; Forestry; Geographic information systems; Satellites; Soil; Urban areas; Geospatial; Multi-criteria Analysis (MCA); SPOT-5; Urban forestry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Its Applications (ICCSA), 2013 13th International Conference on
Conference_Location :
Ho Chi Minh City
Type :
conf
DOI :
10.1109/ICCSA.2013.44
Filename :
6681127
Link To Document :
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