Knowledge Resource Center for Ecological Environment in Arid Area
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
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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). |
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