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Sustainable urban forestry potential based quantitative and qualitative measurement using geospatial technique

Rosli, Amirul Zamani and Md. Reba, Mohd. Nadzri and Roslan, Nurulhani and Mohd. Room, Mohd. Hafis (2014) Sustainable urban forestry potential based quantitative and qualitative measurement using geospatial technique. In: 8th International Symposium of the Digital Earth, ISDE 2014, 23-26 August, 2013, Kuching, Sawarak.

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Official URL: http://dx.doi.org/10.1088/1755-1315/18/1/012021


In order to maintain the stability of natural ecosystems around urban areas, urban forestry will be the best initiative to maintain and control green space in our country. Integration between remote sensing (RS) and geospatial information system (GIS) serves as an effective tool for monitoring environmental changes and planning, managing and developing a sustainable urbanization. This paper aims to assess capability of the integration of RS and GIS to provide information for urban forest potential sites based on qualitative and quantitative by using priority parameter ranking in the new township of Nusajaya. SPOT image was used to provide high spatial accuracy while map of topography, landuse, soils group, hydrology, Digital Elevation Model (DEM) and soil series data were applied to enhance the satellite image in detecting and locating present attributes and features on the ground. Multi-Criteria Decision Making (MCDM) technique provides structural and pair wise quantification and comparison elements and criteria for priority ranking for urban forestry purpose. Slope, soil texture, drainage, spatial area, availability of natural resource, and vicinity of urban area are criteria considered in this study. This study highlighted the priority ranking MCDM is cost effective tool for decision-making in urban forestry planning and landscaping.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:timber, urban planning
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Geoinformation and Real Estate
ID Code:62757
Deposited By: Fazli Masari
Deposited On:06 Jun 2017 14:19
Last Modified:11 Sep 2017 11:54

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