Arid
DOI10.3390/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
EISSN2073-4395
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).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Fadl, Mohamed E.]的文章
[Jalhoum, Mohamed E. M.]的文章
[AbdelRahman, Mohamed A. E.]的文章
百度学术
百度学术中相似的文章
[Fadl, Mohamed E.]的文章
[Jalhoum, Mohamed E. M.]的文章
[AbdelRahman, Mohamed A. E.]的文章
必应学术
必应学术中相似的文章
[Fadl, Mohamed E.]的文章
[Jalhoum, Mohamed E. M.]的文章
[AbdelRahman, Mohamed A. E.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。