气候变化领域集成服务门户(CCPortal): Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia

CCPortal

DOI	10.3390/w14030402
	Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia
	Baig, Mohammed Feras; Mustafa, Muhammad Raza Ul; Baig, Imran; Takaijudin, Husna Binti; Zeshan, Muhammad Talha
发表日期	2022
EISSN	2073-4441
卷号	14 期号:3
英文摘要	Land use land cover (LULC) has altered dramatically because of anthropogenic activities, particularly in places where climate change and population growth are severe. The geographic information system (GIS) and remote sensing are widely used techniques for monitoring LULC changes. This study aimed to assess the LULC changes and predict future trends in Selangor, Malaysia. The satellite images from 1991-2021 were classified to develop LULC maps using support vector machine (SVM) classification in ArcGIS. The image classification was based on six different LULC classes, i.e., (i) water, (ii) developed, (iii) barren, (iv) forest, (v) agriculture, and (vi) wetlands. The resulting LULC maps illustrated the area changes from 1991 to 2021 in different classes, where developed, barren, and water lands increased by 15.54%, 1.95%, and 0.53%, respectively. However, agricultural, forest, and wetlands decreased by 3.07%, 14.01%, and 0.94%, respectively. The cellular automata-artificial neural network (CA-ANN) technique was used to predict the LULC changes from 2031-2051. The percentage of correctness for the simulation was 82.43%, and overall kappa value was 0.72. The prediction maps from 2031-2051 illustrated decreasing trends in (i) agricultural by 3.73%, (ii) forest by 1.09%, (iii) barren by 0.21%, (iv) wetlands by 0.06%, and (v) water by 0.04% and increasing trends in (vi) developed by 5.12%. The outcomes of this study provide crucial knowledge that may help in developing future sustainable planning and management, as well as assist authorities in making informed decisions to improve environmental and ecological conditions.
英文关键词	land use land cover (LULC); support vector machine (SVM); cellular automata-artificial neural network (CA-ANN); change detection; sustainable development
语种	英语
WOS研究方向	Environmental Sciences ; Water Resources
WOS类目	Science Citation Index Expanded (SCI-EXPANDED) ; Social Science Citation Index (SSCI)
WOS记录号	WOS:000756099700001
来源期刊	WATER
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280681
作者单位	Universiti Teknologi Petronas; Universiti Teknologi Petronas; Dhofar University
推荐引用方式 GB/T 7714	Baig, Mohammed Feras,Mustafa, Muhammad Raza Ul,Baig, Imran,et al. Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia[J],2022,14(3).
APA	Baig, Mohammed Feras,Mustafa, Muhammad Raza Ul,Baig, Imran,Takaijudin, Husna Binti,&Zeshan, Muhammad Talha.(2022).Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia.WATER,14(3).
MLA	Baig, Mohammed Feras,et al."Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia".WATER 14.3(2022).