干旱区生态环境知识资源中心(Arid): Mapping Sandy Areas and their changes using remote sensing. A Case Study at North-East Al-Muthanna Province, South of Iraq

Arid

DOI	10.4995/raet.2021.13622
	Mapping Sandy Areas and their changes using remote sensing. A Case Study at North-East Al-Muthanna Province, South of Iraq
	Sahar, Awad A.; Rasheed, Muaid J.; Uaid, Dhia A. A-H; Jasim, Ammar A.
通讯作者	Sahar, AA (corresponding author), Middle Tech Univ, Dept Surveying Tech, Al Kut, Iraq.
来源期刊	REVISTA DE TELEDETECCION
ISSN	1133-0953
EISSN	1988-8740
出版年	2021
期号	58 页码:39-52
英文摘要	Sandy areas are the main problem in regions of arid and semi-arid climate in the world that threaten urban life, buildings, agricultural, and even human health. Remote sensing is one of the technologies that can be used as an effective tool in dynamic features study of sandy areas and sand accumulations. In this study, two new indices were developed to separate the sandy areas from the non-sandy areas. The first one is called the Normalized Differential Sandy Areas Index (NDSAI) that has been based on the assumption that the sandy area has the lowest water content (moisture) than the other land cover classes. The second other is called the Sandy Areas Surface Temperature index (SASTI) which was built on the assumption that the surface temperature of sandy soil is the highest. The results of proposed indices have been compared with two indices that were previously proposed by other researchers, namely the Normalized Differential Sand Dune Index NDSI and the Eolain Mapping Index (EMI). The accuracy assessment of the sandy indices showed that the NDSAI provides very good performance with an overall accuracy of 89 %. The SASTI can isolate many sandy and non-sandy pixels with an overall accuracy about 86 %. The performance of the NDSI is low with an overall accuracy about 82 %. It fails to classify or isolate the vegetation area from the sandy area and might have better performance in desert environments. The performing of NDSAI that is calculated with the SWIR1 band of the Landsat satellite is better than the performing of NDSI that is calculated with the SWIR2 band of the same satellite. EMI performance is less robust than other methods as it is not useful for extracting sandy surfaces in area with different land covers. Change detection techniques were used by comparing the areas of the sandy lands for the periods from 1987 to 2017. The results showed an increase in sandy areas over four decades. The percentage of this increase was about 20 % to 30 % during 2002 and 2017 compared to 1987.
英文关键词	remote sensing sand dunes Eolin mapping index Landsat images NDSAI
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	ESCI
WOS记录号	WOS:000675848100004
WOS关键词	SPECTRAL REFLECTANCE ; SURFACE-TEMPERATURE ; TRANSPORT PATHWAYS ; COASTAL DUNES ; KELSO DUNES ; DESERT ; INDEX ; WATER ; MARS
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364538
作者单位	[Sahar, Awad A.] Middle Tech Univ, Dept Surveying Tech, Al Kut, Iraq; [Rasheed, Muaid J.] Baghdad Univ, Dept Earth Sci, Baghdad, Iraq; [Uaid, Dhia A. A-H] Wasit Univ, Coll Educ Human Sci, Dept Geog, Al Kut, Iraq; [Jasim, Ammar A.] Minist Sci & Technol, Remote Sensing Ctr, Baghdad, Iraq
推荐引用方式 GB/T 7714	Sahar, Awad A.,Rasheed, Muaid J.,Uaid, Dhia A. A-H,et al. Mapping Sandy Areas and their changes using remote sensing. A Case Study at North-East Al-Muthanna Province, South of Iraq[J],2021(58):39-52.
APA	Sahar, Awad A.,Rasheed, Muaid J.,Uaid, Dhia A. A-H,&Jasim, Ammar A..(2021).Mapping Sandy Areas and their changes using remote sensing. A Case Study at North-East Al-Muthanna Province, South of Iraq.REVISTA DE TELEDETECCION(58),39-52.
MLA	Sahar, Awad A.,et al."Mapping Sandy Areas and their changes using remote sensing. A Case Study at North-East Al-Muthanna Province, South of Iraq".REVISTA DE TELEDETECCION .58(2021):39-52.