干旱区生态环境知识资源中心(Arid): Assessing Riyadh's Urban Change Utilizing High-Resolution Imagery

Arid

DOI	10.3390/land8120193
	Assessing Riyadh's Urban Change Utilizing High-Resolution Imagery
	Alghamdi, Ali 1; Cummings, Anthony R.2
通讯作者	Alghamdi, Ali
来源期刊	LAND
EISSN	2073-445X
出版年	2019
卷号	8 期号:12
英文摘要	The implications of change on local processes have attracted significant research interest in recent times. In urban settings, green spaces and forests have attracted much attention. Here, we present an assessment of change within the predominantly desert Middle Eastern city of Riyadh, an understudied setting. We utilized high-resolution SPOT 5 data and two classification techniques-maximum likelihood classification and object-oriented classification-to study the changes in Riyadh between 2004 and 2014. Imagery classification was completed with training data obtained from the SPOT 5 dataset, and an accuracy assessment was completed through a combination of field surveys and an application developed in ESRI Survey 123 tool. The Survey 123 tool allowed residents of Riyadh to present their views on land cover for the 2004 and 2014 imagery. Our analysis showed that soil or 'desert' areas were converted to roads and buildings to accommodate for Riyadh's rapidly growing population. The object-oriented classifier provided higher overall accuracy than the maximum likelihood classifier (74.71% and 73.79% vs. 92.36% and 90.77% for 2004 and 2014). Our work provides insights into the changes within a desert environment and establishes a foundation for understanding change in this understudied setting.
英文关键词	Riyadh SPOT 5 maximum likelihood classification object-oriented classification urban change
类型	Article
语种	英语
国家	Saudi Arabia ; USA
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:000505583000010
WOS关键词	LAND-COVER CHANGE ; CELLULAR-AUTOMATA ; LOGISTIC-REGRESSION ; GREEN SPACE ; GROWTH ; MODEL ; CLASSIFICATION ; CITY ; IDENTIFICATION ; ALGORITHMS
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
EI主题词	2019-12-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311182
作者单位	1.King Abdulaziz Univ, Al Ehtifalat St, Jeddah 21589, Saudi Arabia; 2.Univ Texas Dallas, Sch Econ Polit & Policy Sci, Geospatial Informat Sci, 800 W Campbell Rd, Richardson, TX 75080 USA
推荐引用方式 GB/T 7714	Alghamdi, Ali,Cummings, Anthony R.. Assessing Riyadh's Urban Change Utilizing High-Resolution Imagery[J],2019,8(12).
APA	Alghamdi, Ali,&Cummings, Anthony R..(2019).Assessing Riyadh's Urban Change Utilizing High-Resolution Imagery.LAND,8(12).
MLA	Alghamdi, Ali,et al."Assessing Riyadh's Urban Change Utilizing High-Resolution Imagery".LAND 8.12(2019).