干旱区生态环境知识资源中心(Arid): Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran)

Arid

DOI	10.1007/s10661-022-10876-1
	Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran)
	Shafie, Banafsheh; Javid, Amir Hossein; Behbahani, Homa Irani; Darabi, Hassan; Lotfi, Farhad Hosseinzadeh
通讯作者	Javid, AH
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2023
卷号	195 期号:3
英文摘要	The monitoring and modeling of changes, based on a time-series LULC approach, is fundamental for planning and managing regional environments. The current study analyzed the LULC changes as well as estimated future scenarios for 2027 and 2037. To achieve accuracy in predicting LULC changes, the Land Change Modeler (LCM) was used for the Latian Dam Watershed, which is located approximately in the northeast of Tehran. The LULC time-series technique was specified utilizing four atmospherically endorsed surface reflectance Landsat images for the years t(1) (1987), t(2) (1998), t(3) (2007), and t(4) (2017) to authenticate the LULC predictions, so to obtain estimates for t(5) (2027) and t(6) (2037). The LULC classes identified in the watershed were water bodies, build-up areas, vegetated areas, and bare lands. The dynamic modeling of the LULC was based on a multi-layer perceptron (MLP), the neural network in LCM, which presented good results with an average accuracy rate equivalent to 84.89 percent. The results of the LULC change analysis showed an increase in the build-up area and a decrease in bare lands and vegetated areas within the duration of the study period. The results of this research could help in the formulation of public policies designed to conserve environmental resources in the Latian Dam Watershed and, consequently, minimize the risks of the fragmentation of orchards and vegetated areas. Also, careful regional planning ensuring the preservation of natural landscapes and open spaces is critical to creating a resilient regional environment and sustainable development.
英文关键词	LULC change Multi-layer perceptron Artificial neural network Land Change Modeler
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000924670800001
WOS关键词	ARTIFICIAL NEURAL-NETWORK ; COVER CHANGE DETECTION ; CELLULAR-AUTOMATA ; MARKOV-CHAIN ; ECOSYSTEM SERVICES ; GIS TECHNIQUES ; CLIMATE-CHANGE ; PREDICTION ; IMPACTS ; REGION
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396169
推荐引用方式 GB/T 7714	Shafie, Banafsheh,Javid, Amir Hossein,Behbahani, Homa Irani,et al. Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran)[J],2023,195(3).
APA	Shafie, Banafsheh,Javid, Amir Hossein,Behbahani, Homa Irani,Darabi, Hassan,&Lotfi, Farhad Hosseinzadeh.(2023).Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran).ENVIRONMENTAL MONITORING AND ASSESSMENT,195(3).
MLA	Shafie, Banafsheh,et al."Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran)".ENVIRONMENTAL MONITORING AND ASSESSMENT 195.3(2023).