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4055

Detection of Soil Salinity for Bare and Cultivated Lands Using Landsat ETM+ Imagery Data: A Case Study from El-Beheira Governorate, Egypt

Article

Last updated: 01 Jan 2025

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Tags

Aquatic and terrestrial environment

Abstract

environmental universal issues due to its adverse effects on agricultural productivity and sustainable development. Remote sensing is an important tool for investigating soil characteristics such as soil salinity. In saline soils, the spectral reflectance of salt at the surface or of vegetation execution that was adversely influenced by salt varies with different salinity levels. So, many salinity and vegetation indices have been developed and used. This study used ground data and Landsat Enhanced Thematic Mapper Plus (ETM+) satellite images (visible and near-infrared reflectance) to compare between eleven spectral indices, which encompassed soil salinity and vegetation indices, to determine the best index to the estimations of soil salinity for bare and cultivated soil. Soil samples were gathered from two locations in El-Beheira governorate in Egypt; 24 samples from Wadi-El-Natroun (bare soil) and 22 samples from El-Bostan (cultivated soil) and the soil samples locations were overlaid on ETM+ satellite image to extract the exact index values. The electrical conductivity (EC) measured in saturated soil-paste extract. Among those spectral indices, SI3 showed the highest correlation coefficient with EC (R2 = 0.77) according to linear regression analysis and S6 according to Polynomial regression (R2 = 0.83), followed by S3 for bare soil. NDVI and SAVI get the best result for assessing the soil salinity of cultivated soil (R2 = 0.83 and 0.76) according to Polynomial and linear regression, respectively, followed by RVI.

DOI

10.21608/asejaiqjsae.2017.4055

Keywords

Soil salinity, salinity indices, Vegetation Indices, Remote Sensing

Authors

First Name

Emad

Last Name

Fawzy Abdelaty

MiddleName

-

Affiliation

Assistant Professor, Department of Natural Resources and Agricultural Engineering, Faculty of Agriculture, Damanhour University, Damanhour, Egypt

Email

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City

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Orcid

-

First Name

Emad

Last Name

Farouk Aboukila

MiddleName

-

Affiliation

Assistant Professor, Department of Natural Resources and Agricultural Engineering, Faculty of Agriculture, Damanhour University, Damanhour, Egypt

Email

-

City

-

Orcid

-

Volume

38

Article Issue

July-September

Related Issue

349

Issue Date

2017-09-01

Receive Date

2017-09-10

Publish Date

2017-09-01

Page Start

642

Page End

653

Print ISSN

1110-0176

Online ISSN

2536-9784

Article File

ASEJAIQJSAE_Volume 38_Issue July-September_Pages 642-653.pdf

PDF . 1.7MB

Link

https://asejaiqjsae.journals.ekb.eg/article_4055.html

Detail API

https://asejaiqjsae.journals.ekb.eg/service?article_code=4055

Order

27

Type

Original Article

Type Code

53

Publication Type

Journal

Publication Title

Alexandria Science Exchange Journal

Publication Link

https://asejaiqjsae.journals.ekb.eg/

MainTitle

Detection of Soil Salinity for Bare and Cultivated Lands Using Landsat ETM+ Imagery Data: A Case Study from El-Beheira Governorate, Egypt

Details

Type

Article

Created At

22 Jan 2023