Measuring and predicting urban growth patterns and trends in Putrajaya, Malaysia

9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Almdhun, Haitem M.^1 ; Mallak, Shadi K.^1 ; Aburas, Maher M.^2 ; Md Said, Md Azlin^2 ; Ghadiri, Seyed Mohammadreza^3

Department of Energy and Environment, Malaysia University of Science and Technology, Malaysia^1

School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Penang

14300, Malaysia^2

Department of Transportation and Logistics, Malaysia University of Science and Technology, Malaysia^3

关键词: Decision makers;    Local authorities;    Policy development;    Spatio temporal;    Spatio-temporal data;    Urban development;    Urban growth patterns;    Urban growth trends;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/169/1/012114/pdf
DOI  :  10.1088/1755-1315/169/1/012114

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Spatio-temporal measurement and prediction of urban growth patterns are the main challenges that face researchers, planners, decision makers, and local authorities when building a realistic sustainable urban planning model. This study aims to apply spatio-temporal data, methods, and models to generate a realistic measurement and prediction of the urban growth issue. Three Landsat TM5 and OLI images of 1997, 2007, and 2017 were used to create urban growth maps. Land-use maps were used to measure change in urban area during the periods 1997 to 2017. A CA-Markov model was used to predict the urban growth trends of 2027 and 2037. The results of the study confirm that urban area increased and continued to cover most of the city area of Putrajaya. The urban development process has greatly affected the Putrajaya green lands between 1997 and 2017. This impact is expected to increase in the future based on the prediction results, which in turn will lead to an increased need for new policy development to protect the ecosystem in Putrajaya.