Determination of Sustainable Land Potential Based on Priority Ranking: Multi-criteria Analysis (MCA) Technique

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.

[1]  Jayanath Ananda,et al.  A critical review of multi-criteria decision making methods with special reference to forest management and planning , 2009 .

[2]  J. Wolff,et al.  Trauma induced eagle syndrome. , 2012, International journal of oral and maxillofacial surgery.

[3]  J. R. Jensen.  Remote Sensing of the Environment: An Earth Resource Perspective , 2000 .

[4]  Daniel G. Brown,et al.  Evaluating the effects of land‐use development policies on ex‐urban forest cover: An integrated agent‐based GIS approach , 2009, Int. J. Geogr. Inf. Sci..

[5]  Oswald Marinoni,et al.  Implementation of the analytical hierarchy process with VBA in ArcGIS , 2004, Comput. Geosci..

[6]  C.Y. Jim,et al.  Ecosystem services and valuation of urban forests in China , 2009 .

[7]  D. A. Seaver,et al.  A comparison of weight approximation techniques in multiattribute utility decision making , 1981 .

[8]  K. Jusoff,et al.  Forest recreation planning in Langkawi Island, Malaysia, using Landsat TM , 1996 .

[9]  Pol Coppin,et al.  Change Detection in Forest Ecosystems with Remote Sensing Digital Imagery , 1996 .

[10]  Arabinda Laskar,et al.  Integrating GIS and Multicriteria Decision Making Techniques for Land Resource Planning , 2003 .

[11]  Amr H. Abd-Elrahman,et al.  A community-based urban forest inventory using online mapping services and consumer-grade digital images , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[12]  K. Jusoff,et al.  Urban forestry planning using remote sensing/GIS technique , 2004 .

[13]  Francisco Aguado-Correa,et al.  Multicriteria Decision Making in Health Care Using the Analytic Hierarchy Process and Microsoft Excel , 2014, Medical decision making : an international journal of the Society for Medical Decision Making.

[14]  Feng Li,et al.  Comprehensive concept planning of urban greening based on ecological principles: a case study in Beijing, China , 2005 .

[15]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[16]  G. R. Johnson,et al.  Geospatial methods provide timely and comprehensive urban forest information , 2007 .

[17]  Sakari Tuominen,et al.  Forest variable estimation using a high-resolution digital surface model , 2012 .

[18]  Khali Aziz Hamzah,et al.  REMOTE SENSING, GIS AND GPS AS A TOOL TO SUPPORT PRECISION FORESTRY PRACTICES IN MALAYSIA , 2001 .