干旱区生态环境知识资源中心(Arid): Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia

Arid

DOI	10.1007/s12145-021-00633-2
	Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia
	Alqadhi, Saeed; Mallick, Javed; Balha, Akanksha; Bindajam, Ahmed; Singh, Chander Kumar; Hoa, Pham Viet
通讯作者	Mallick, J (corresponding author), King Khalid Univ, Dept Civil Engn, Coll Engn, Abha, Saudi Arabia.
来源期刊	EARTH SCIENCE INFORMATICS
ISSN	1865-0473
EISSN	1865-0481
出版年	2021
卷号	14 期号:3 页码:1547-1562
英文摘要	The present study uses Landsat satellite images of 1990, 2000 and 2018 to identify the land-use changes. Multilayer perceptron-neural network based land change modelling (LCM) has been applied to model future land-use/land cover (LULC). The prediction model has been validated using simulated and classified LULC maps of 2018 which resulted into an overall accuracy of 88%. The results indicate 389.27% increase in built-up area as the prominent land-use change during 1990-2018 and an increase of 56.25% in built-up area is forecasted during the year 2018-2040. Land absorption coefficient and land consumption rate indices, used to characterize urban expansion, indicate continued compact built-up structure during 1990-2018 due to population increase. The observations derived from this study would be useful as it will help the regional planners with forecasted land-use beforehand in planning the built-up and abundantly available natural resources in the area according to the increasing future demands.
英文关键词	Land change modelling Artificial intelligence Landsat Asir Saudi Arabia
类型	Article
语种	英语
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000664850300001
WOS关键词	AUTOMATA-MARKOV-CHAIN ; URBAN-GROWTH SIMULATION ; CELLULAR-AUTOMATA ; LANDSCAPE ; DYNAMICS ; DISTRICT ; SPRAWL ; CITY ; AREA ; COEFFICIENT
WOS类目	Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向	Computer Science ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352121
作者单位	[Alqadhi, Saeed; Mallick, Javed] King Khalid Univ, Dept Civil Engn, Coll Engn, Abha, Saudi Arabia; [Balha, Akanksha; Singh, Chander Kumar] TERI Sch Adv Studies, Environm & Energy Dept, New Delhi, India; [Bindajam, Ahmed] King Khalid Univ, Dept Architecture & Planning, Coll Engn, Abha, Saudi Arabia; [Hoa, Pham Viet] Ho Chi Minh City Inst Resources Geog, Vietnamese Acad Sci & Technol, Ho Chi Minh City, Vietnam
推荐引用方式 GB/T 7714	Alqadhi, Saeed,Mallick, Javed,Balha, Akanksha,et al. Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia[J],2021,14(3):1547-1562.
APA	Alqadhi, Saeed,Mallick, Javed,Balha, Akanksha,Bindajam, Ahmed,Singh, Chander Kumar,&Hoa, Pham Viet.(2021).Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia.EARTH SCIENCE INFORMATICS,14(3),1547-1562.
MLA	Alqadhi, Saeed,et al."Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia".EARTH SCIENCE INFORMATICS 14.3(2021):1547-1562.