干旱区生态环境知识资源中心(Arid): Integrated remote sensing and GIS for developed new spectral index for estimating Sandy land and its potential hazards. Case study: north-east Al-Muthanna Province area, south of Iraq

Arid

DOI	10.1007/s12517-021-06490-z
	Integrated remote sensing and GIS for developed new spectral index for estimating Sandy land and its potential hazards. Case study: north-east Al-Muthanna Province area, south of Iraq
	Sahar, Awad A.; Alhadithi, Abdulkhaleq A.; Hassan, Mustafa Ali; Jasim, Ammar A.
通讯作者	Sahar, AA (corresponding author), Middle Tech Univ, Kut Tech Inst, Dept Surveying Tech, Kut, Iraq.
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2021
卷号	14 期号:3
英文摘要	The sandy landscapes, such as dunes, coastal regions, or sand sheets are one of the main problems in areas of arid and semi-arid climate. Remote sensing and GIS techniques have played a significant and vital role in the investigating of sandy land and dune-fields of the earth and the other planetary surfaces. The spectral indices are widely used to automatic separation landscape features such as vegetation, water, and built-up etc. This article suggests the application of the newly developed index, called the Normalized Differential Sandy Land Index (NDSLI) to extract and map sandy land. The NDSLI uses the normalized differential between the short wavelength infrared (SWIR)-1 and Red bands based on the sensitivity of the SWIR-1 to the moisture content and the ability of the Red band in the separation between different covers types of land such as vegetation, soil, and urban features. The case study, locates in the northeast part of Al-Muthanna province, the southern middle part of Iraq. In this study, three dated images (i.e., 1978, 2002, and 2017) of three different sensors (i.e., Landsat TM, ETM, and OLI sensors) of Landsat satellites level-2 (Landsat Surface Reflectance) were utilized. The obtained result showed the NDSLI has good performance to separate the sandy land from other types of land cover, especially that near to the vegetation, water areas, and other types of soils with an overall accuracy of more than 88% and a kappa of 0.75. The change detection result shows there has been an increase in sandy land about 20% to 28% during 2002 and 2017 than in 1989 respectively, most changes concentrated in the middle part of the study area.
英文关键词	Remote sensing Sandy land Moisture content Landsat images
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000616264600001
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347712
作者单位	[Sahar, Awad A.] Middle Tech Univ, Kut Tech Inst, Dept Surveying Tech, Kut, Iraq; [Alhadithi, Abdulkhaleq A.] Univ Anbar, Coll Sci, Dept Appl Geol, Ramadi, Iraq; [Hassan, Mustafa Ali] Univ Baghdad, Coll Sci, Remote Sensing Unit, Baghdad, Iraq; [Jasim, Ammar A.] Minist Sci & Technol, Remote Sensing Ctr, Baghdad, Iraq
推荐引用方式 GB/T 7714	Sahar, Awad A.,Alhadithi, Abdulkhaleq A.,Hassan, Mustafa Ali,et al. Integrated remote sensing and GIS for developed new spectral index for estimating Sandy land and its potential hazards. Case study: north-east Al-Muthanna Province area, south of Iraq[J],2021,14(3).
APA	Sahar, Awad A.,Alhadithi, Abdulkhaleq A.,Hassan, Mustafa Ali,&Jasim, Ammar A..(2021).Integrated remote sensing and GIS for developed new spectral index for estimating Sandy land and its potential hazards. Case study: north-east Al-Muthanna Province area, south of Iraq.ARABIAN JOURNAL OF GEOSCIENCES,14(3).
MLA	Sahar, Awad A.,et al."Integrated remote sensing and GIS for developed new spectral index for estimating Sandy land and its potential hazards. Case study: north-east Al-Muthanna Province area, south of Iraq".ARABIAN JOURNAL OF GEOSCIENCES 14.3(2021).