Simulating and monitoring future land-use trends using CA-Markov and LCM models

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

地球科学;计算机科学

Aburas, Maher M.^1,2 ; Abdullah, Sabrina H.^3 ; Ramli, Mohammad F.^3 ; Ash'Aari, Zulfa H.^3 ; Ahamad, Mohd Sanusi S.^1

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

14300, Malaysia^1

High Institution for Engineering Vocations Almajori, Benghazi, Libya^2

Faculty of Environmental Studies, University Putra Malaysia, 43400, Malaysia^3

关键词: Decision makers;    Demographic development;    Land use pattern;    Land-use change;    Local authorities;    Realistic simulation;    Spatio-temporal data;    Sustainable land use;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/169/1/012050/pdf
DOI  :  10.1088/1755-1315/169/1/012050

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Simulating and monitoring future land-use trends is one of the major challenges for researchers, decision makers, and local authorities in terms of data, methods, and models that should be used to create a realistic and sustainable land-use planning process. This study aims to use spatio-temporal data and models to generate realistic simulation and assessment of future land-use trends in Seremban, Malaysia. For this purpose, four land-use maps of 1984, 1990, 2000, and 2010 were used. The CA-Markov model was used to simulate future land-use change of 2020 and 2030 in Seremban. After that, a Land Change Modeler (LCM) was used to assess and monitor future land-use patterns. The results confirm that the agriculture area will be affected by urban uses in the next decade in Seremban. This increase in urban uses is due to the impact of the steady increase in economic and demographic development. These results indicate the necessity to create new policies in the city to protect the sustainability of land uses in Seremban.