干旱区生态环境知识资源中心(Arid): Detection of the Spatial Variability of Soil Salinity East of the Bitter Lake of the Suez Canal, Egypt, as a Basis for Management Zones Using Sentinel-2 Multispectral Imagery

Arid

DOI	10.1080/00103624.2023.2211111
	Detection of the Spatial Variability of Soil Salinity East of the Bitter Lake of the Suez Canal, Egypt, as a Basis for Management Zones Using Sentinel-2 Multispectral Imagery
	Ali, Ali M.
通讯作者	Ali, AM
来源期刊	COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
ISSN	0010-3624
EISSN	1532-2416
出版年	2023
卷号	54 期号:14 页码:1989-2001
英文摘要	Soil salinity is one of the more serious problems that cause soil degradation, particularly in semi-arid and arid regions. In agricultural lands, it threatens plant growth and productivity, which requires specific management decisions for various inputs, such as fertilizers. Accurate prediction and mapping of soil salinity have become possible through remote sensing techniques. The focus of this research is to derive soil salinity from spectral indices measured from different bands of sentinel-2 satellite in order to delineate management zones (MZs). Four spectral salinity indices were used for the purpose of this study, using blue, green, red, and NIR bands in different combinations. Exponential regression best describes the relationship between salinity indices and soil electrical conductivity (EC) through ground truthing. The results indicate that salinity indices 2 (BluexRed/reen) and 4 (Green+Red/2) (SI2 and SI4) outperformed the other indices and could describe 70% and 71% of the variability in soil EC with prediction models of: SoilEC = 0:319e(0:0007xSI2) and SoilEC = 0:3418e(0:0006xSI4), respectively. The generated models were validated by normalized root mean square error and the d coefficient of agreement. The results of the best-fit models were 16.5% and 0.86 for SI2 and 16.7% and 0.84 for SI4, respectively. The box-and-whiskers diagram proposed that the field can be divided into four soil EC-dependent groups, which are considered MZs to support a variety of management decisions. This study shows that through sentinel-2 multispectral imagery, the spatial variability of soil salinity can be mapped and used as a basis for MZs within the studied region.
英文关键词	Management zones precision mapping remote sensing spectral indices
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000996120200001
WOS关键词	SALT-AFFECTED SOILS ; DELINEATION ; AGRICULTURE ; VEGETATION ; RETRIEVAL ; XINJIANG ; REGION ; PLAIN
WOS类目	Agronomy ; Plant Sciences ; Chemistry, Analytical ; Soil Science
WOS研究方向	Agriculture ; Plant Sciences ; Chemistry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395801
推荐引用方式 GB/T 7714	Ali, Ali M.. Detection of the Spatial Variability of Soil Salinity East of the Bitter Lake of the Suez Canal, Egypt, as a Basis for Management Zones Using Sentinel-2 Multispectral Imagery[J],2023,54(14):1989-2001.
APA	Ali, Ali M..(2023).Detection of the Spatial Variability of Soil Salinity East of the Bitter Lake of the Suez Canal, Egypt, as a Basis for Management Zones Using Sentinel-2 Multispectral Imagery.COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS,54(14),1989-2001.
MLA	Ali, Ali M.."Detection of the Spatial Variability of Soil Salinity East of the Bitter Lake of the Suez Canal, Egypt, as a Basis for Management Zones Using Sentinel-2 Multispectral Imagery".COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS 54.14(2023):1989-2001.

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