Mapping of Soil Salinity Using Electromagnetic Induction: A Case Study of East Nile Delta, Egypt

doi:10.21608/ejss.2017.3705

Cited by 6 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results of correlation showed that SI5, SI4, and normalized difference salinity index (NDSI) had an acceptable correlation with the field truth data of soil salinity. This finding concurs with the results acquired by Saleh et al 2017, Allbed et al 2014, Yossif 2017, Abdelfattah 2009, Pikha 2008, among others. They found that SIs strongly correlated with field soil salinity.…”

Section: Discussion and Resultssupporting

confidence: 92%

Soil salinity mapping using remote sensing and GIS

Gad

Mohamed

2021

Geomatica

View full text Add to dashboard Cite

Monitoring of Soil salinity plays a vital role in the agricultural society. Soil salinity causes land degradation processes, especially in arid and semi-arid regions which influence soil properties, reduce yield production of crops, and affect infrastructure. This research produces soil salinity mapping of East Delta in Egypt in 1995 using remote sensing technology. Landsat 5 image taken on September 26, 1995, was used. Radiometric and atmospheric corrections for satellite data were applied. Different salinity indices (SI) were used such as Normalized Difference Salinity Index (NDSI), SI1, SI2, SI3, SI4, SI5, SI6, and SI7 beside Normalized Difference Vegetation Index (NDVI) which was used for data filtration. The field’s Electrical Conductivity (EC) was measured during the period from 22 to 26 September 1995 by the Japanese International Cooperation Agency (JICA). This data was used as ground truth for the correlation analysis with different indices image bands values. SLR (Simple linear regression) and Mean RE (Relative error) were used to find the best index which was SI5 with a 0.87 correlation with field truth data and mean RE equal 22.7% This index was used to produce a salinity map of the Eastern Delta with acceptable accuracy. Finally, it is concluded that using remote sensing in salinity detection and mapping is highly appreciated.

show abstract

Section: Discussion and Resultssupporting

confidence: 92%

Soil salinity mapping using remote sensing and GIS

Gad

Mohamed

2021

Geomatica

View full text Add to dashboard Cite

show abstract

“…EMI instrument measures the soil‐apparent electrical conductivity (EC a , mS m −1 ) that usually has a good correlation with soil salinity. The EMI technique has been successfully used worldwide to create farm to regional‐scale soil salinity maps (Aragüés et al, 2011; Jing et al, 2017; Li et al, 2019; Moore et al, 2011; Saleh et al, 2017), and for correlating EC a with EC e of different soil profile depths (Amezketa & Lersundi, 2008; Triantafilis & Buchanan, 2010; Herrero & Hudnall, 2014; Koganti et al, 2018). Such systematic studies for rapid appraisal of salinity through EMI technique are, however, lacking or very limited in India, except for reported sparse studies for vertisols region of South India, Chambal command areas of Rajasthan, and alluvial soils of the Indo‐Gangetic plain (Kuligod et al, 2000; Sharma et al, 1997; Waghaye et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Restoration of degraded waterlogged saline soil through subsurface drainage: Spatiotemporal soil salinity assessment using electromagnetic induction (EMI) and geographic information system (GIS) techniques

Narjary,

Nand,

Goswami

et al. 2024

Land Degrad Dev

View full text Add to dashboard Cite

Reduction in soil salinity in the entire project area is a key indicator of proper functioning of the implemented subsurface drainage (SSD) projects. Electromagnetic induction (EMI) surveys were carried out to facilitate spatiotemporal assessment of soil salinity of a SSD project site in Kahni, Haryana (India). The surveys were conducted in two time frames: immediately after the start of SSD project in 2019 and after 2 years of successful operation in 2021. The collected data of 2 surveys was used to derive a depth‐specific calibrated correlation between the observed salinity (ECe) of collected soil samples and surveyed apparent electrical conductivity (ECa) observations in vertical (ECav) and horizontal (ECah) modes. Spatiotemporal analysis of soil salinity revealed notable changes in areas under different salinity classes over a period of 2 years, indicating the impact of SSD on soil desalinization. During the course of 2 years (2019–2021) of SSD operation, area under moderate salinity (4–8 dS m−1) in the top 0–0.15 m soil increased by 54.5% while it decreased by 40% and 6.6% under high (8–12 dS m−1) and very high (12–16 dS m−1) salinity classes. The rice and wheat yields were also enhanced by 24% and 7% respectively after 2 years operation of SSD in hitherto severally waterlogged saline soils. Overall findings of this study reinforce the scope of using EMI approach to quickly and effectively assess the efficacy of subsurface drainage. Creation of measurable soil salinity maps by proposed EMI and GIS techniques can help in planning and implementing site‐specific management strategies in saline soil reclamation projects.

show abstract

“…For the last two decades, remotely sensed imagery has demonstrated its ability to monitor salinity changes effectively from surface characteristics in real-time and at various scales. Some previous studies have revealed that optical sensors, such as vis-NIR or Short-Wave Infra-Red (SWIR) spectral bands, are promising for the sensing and detection of soil surface salinity [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Soil Salinity Assessing and Mapping Using Several Statistical and Distribution Techniques in Arid and Semi-Arid Ecosystems, Egypt

et al. 2023

View full text Add to dashboard Cite

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 R2 value of 0.2688. The SI 8 index shows a higher negative significant correlation with ECe and an R2 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 (R2) was represented as ECe (dS m−1) with an R2 of 0.881, and the lowest one was SI 9 with an R2 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.

show abstract

Mapping of Soil Salinity Using Electromagnetic Induction: A Case Study of East Nile Delta, Egypt

Cited by 6 publications

References 8 publications

Soil salinity mapping using remote sensing and GIS

Soil salinity mapping using remote sensing and GIS

Restoration of degraded waterlogged saline soil through subsurface drainage: Spatiotemporal soil salinity assessment using electromagnetic induction (EMI) and geographic information system (GIS) techniques

Soil Salinity Assessing and Mapping Using Several Statistical and Distribution Techniques in Arid and Semi-Arid Ecosystems, Egypt

Contact Info

Product

Resources

About