干旱区生态环境知识资源中心(Arid): Integrating remote sensing classification techniques for land use mapping in semi-arid regions: a case study of the Tamlouka basin, Algeria

Arid

DOI	10.1007/s10661-024-12757-1
	Integrating remote sensing classification techniques for land use mapping in semi-arid regions: a case study of the Tamlouka basin, Algeria
	Bouchagoura, Louiza; Medjani, Fethi; Zahi, Faouzi; Djidel, Mohamed
通讯作者	Medjani, F
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2024
卷号	196 期号:7
英文摘要	Worldwide, the majority of countries are actively devising strategies to address the challenges associated with unregulated and unmanageable development, the decline in environmental quality and the depletion of valuable agricultural land. This has led to a growing emphasis on understanding land use and land cover. In order to determine a better land use policy, legislators and planners need to know the current distribution of agricultural and urban lands, as well as information about changes in their proportions. Our approach combines data centred on main four themes-geology, slope gradient, hydrographic network and land use-in order to exploit classifier complementarities in our targeted agricultural study area of Tamlouka Basin, Algeria. Landsat 8 OLI-TIRs multispectral imagery and Shuttle Radar Topography Mission (SRTM-1arc v3) were used experimentally for classification and Digital Elevation Model (DEM) analysis. The classification's accuracy is confirmed by comparing the results of the decision tree classification with the validation samples. Results of the combination of several maps of classifications from the different methods show that the Tamlouka alluvial plain, having an area of 19,300 ha and an average slope gradient of less than 2 degrees, drains the elevated reliefs that surround it via hydrographic network. The plain occupies 37% of the total basin area, with over of 60% being used for crop cultivation, regardless of fallow land areas in agricultural rotation at that time. The slope has been identified as a crucial factor determining land use patterns in the study area. This result can be used in prospective watershed management.
英文关键词	Classification Combination Vectorization Extraction Maps
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001244011100001
WOS关键词	WATER-RESOURCES ; RIVER CATCHMENT ; URBAN SPRAWL ; COVER CHANGE ; VEGETATION ; IMPACTS ; QUALITY ; INDEX ; PLAIN
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/2XILL650/403603
推荐引用方式 GB/T 7714	Bouchagoura, Louiza,Medjani, Fethi,Zahi, Faouzi,et al. Integrating remote sensing classification techniques for land use mapping in semi-arid regions: a case study of the Tamlouka basin, Algeria[J],2024,196(7).
APA	Bouchagoura, Louiza,Medjani, Fethi,Zahi, Faouzi,&Djidel, Mohamed.(2024).Integrating remote sensing classification techniques for land use mapping in semi-arid regions: a case study of the Tamlouka basin, Algeria.ENVIRONMENTAL MONITORING AND ASSESSMENT,196(7).
MLA	Bouchagoura, Louiza,et al."Integrating remote sensing classification techniques for land use mapping in semi-arid regions: a case study of the Tamlouka basin, Algeria".ENVIRONMENTAL MONITORING AND ASSESSMENT 196.7(2024).