干旱区生态环境知识资源中心(Arid): Soil Salinity Assessing and Mapping Using Several Statistical and Distribution Techniques in Arid and Semi-Arid Ecosystems, Egypt

Arid

DOI	10.3390/agronomy13020583
	Soil Salinity Assessing and Mapping Using Several Statistical and Distribution Techniques in Arid and Semi-Arid Ecosystems, Egypt
	Fadl, Mohamed E.; Jalhoum, Mohamed E. M.; AbdelRahman, Mohamed A. E.; Ali, Elsherbiny A.; Zahra, Wessam R.; Abuzaid, Ahmed S.; Fiorentino, Costanza; D'Antonio, Paola; Belal, Abdelaziz A.; Scopa, Antonio
通讯作者	AbdelRahman, MAE
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2023
卷号	13 期号:2
英文摘要	Oasis lands in Egypt are commonly described as salty soils; therefore, waterlogging and higher soil salinity are major obstacles to sustainable agricultural development. This study aims to map and assess soil salinization at El-Farafra Oasis in the Egypt Western Desert based on salinity indices, Imaging Spectroscopy (IS), and statistical techniques. The regression model was developed to test the relationship between the electrical conductivity (ECe) of 70 surface soil samples and seven salinity indices (SI 1, SI 2, SI 5, SI 6, SI 7, SI 8, and SI 9) to produce soil salinity maps depending on Landsat-8 (OLI) images. The investigations of soil salinization and salinity indices were validated in a studied area based on 30 soil samples; the obtained results represented that all salinity indices have shown satisfactory correlations between ECe values for each soil sample site and salinity indices, except for the SI 5 index that present non-significant correlations with R-2 value of 0.2688. The SI 8 index shows a higher negative significant correlation with ECe and an R-2 value of 0.6356. There is a significant positive correlation at the (p < 0.01) level between SI 9 and ECe (r = 0.514), a non-significant correlation at the (p < 0.05) level between soil ECe and SI 1 index (r = 0.495), and the best-verified salinity index was for SI 7 that has a low estimated RMSE error of 8.58. Finally, the highest standard error (R-2) was represented as ECe (dS m(-1)) with an R-2 of 0.881, and the lowest one was SI 9 with an R-2 of 0.428, according to Tukey's test analysis. Therefore, observing and investigating soil salinity are essential requirements for appropriate natural resource management plans in the future.
英文关键词	soil salinity statistical analyses remote sensing El-Farafra Oasis
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000938268000001
WOS关键词	ORGANIC-CARBON CONTENT ; YELLOW-RIVER DELTA ; REFLECTANCE SPECTROSCOPY ; LAND DEGRADATION ; TERRAIN INDEXES ; METHODS PLSR
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395190
推荐引用方式 GB/T 7714	Fadl, Mohamed E.,Jalhoum, Mohamed E. M.,AbdelRahman, Mohamed A. E.,et al. Soil Salinity Assessing and Mapping Using Several Statistical and Distribution Techniques in Arid and Semi-Arid Ecosystems, Egypt[J],2023,13(2).
APA	Fadl, Mohamed E..,Jalhoum, Mohamed E. M..,AbdelRahman, Mohamed A. E..,Ali, Elsherbiny A..,Zahra, Wessam R..,...&Scopa, Antonio.(2023).Soil Salinity Assessing and Mapping Using Several Statistical and Distribution Techniques in Arid and Semi-Arid Ecosystems, Egypt.AGRONOMY-BASEL,13(2).
MLA	Fadl, Mohamed E.,et al."Soil Salinity Assessing and Mapping Using Several Statistical and Distribution Techniques in Arid and Semi-Arid Ecosystems, Egypt".AGRONOMY-BASEL 13.2(2023).