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Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques
Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques
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Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques
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Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques
Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques

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Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques
Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques
Journal Article

Field Investigation of the Spectral Resolution of Soil Salinity and Its Impact on Vegetation Northeast of the Nile River Delta by Applying Geoinformatics Techniques

2022
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Overview
The study adopts a number of soil salinity indices by applying geoinformatics techniques in the northeast of the Nile River Delta, based on the different spectral reflectance of soil salinity. The field investigation is carried out by collecting soil samples, and chemically analyzing them in order to compare them with the results of the indices (8 indices), relying on field review so as to capture images indicative of soil salinity and its impact on the land use that is most vulnerable to it, and this is vegetation. This is mainly for the sake of supporting the accuracy of the spectral resolution. It is found that each index relies on different variables of spectral reflectance. Accordingly, the study identifies the most appropriate and effective indices for assessing salinity, both spatially and temporally, in the northeast of the Nile River Delta. This is done through determining the highest degree of correlation between the results of the indices and the results of the chemical analysis of soil samples. Moreover, the study relies on the best indices in determining vegetation, which is EVI, so as to find out the degree to which the vegetation density is affected by soil salinity. This is carried out with the aim of coming up with results that help decision-makers in addressing the problems resulting from soil salinity with the least effort, the lowest cost, and the highest accuracy and realism.

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