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Monitoring soil productivity using Remote sensing and GIS techniques in El- Qaliobia Governorate, Egypt

Article

Last updated: 01 Jan 2025

Subjects

-

Tags

Digital Soil Mapping, soil evaluation and land use change

Abstract

Soil productivity refers to the capability of soil to sustain crop production, as determined by its complete range of physical, chemical, and biological attributes. The present study aimed to assess and monitoring the productivity of soils in El-Qaliobia Governorate, Egypt, which encompasses an area of 1022 km2. To determine the major physiographic units in the area, ENVI software 5.3 was used to process the "Landsat Enhanced Thematic Mapper Plus (ETM+) and Landsat Operational Land Imager (OLI) " images and digital elevation model. The study area is located in lower Egypt, north of Cairo, in the Nile Delta region, which was analyzed using multi-temporal Landsat imagery (2005 and 2022) and Digital Elevation Models. Results showed that the vegetation areas were decreased from 70% to 63 % during the period from 2005 to 2022 while the urban areas were increased from 23.9 % to 30.8 %. The main landform units over the area were delineated using Satellite images and the Digital Elevation Model (DEM). Out of twenty-nine soil profiles, thirteen were selected to represent different map units. Morphological descriptions were conducted as well as soil samples for physical and chemical analysis. soil samples were analyzed to classify soil productivity using the Requier Land Productivity Index (RLPI). The spatial analyst function within ArcGIS 10.8 was employed for the purpose of approximating the assessment of the moisture content rating, drainage condition, effective soil depth, texture/structure, soluble salt concentration, organic matter content, Cation exchange capacity, and mineral reserve. The results illustrated that approximately 38.3 % and 23.0 % of the entire expanse is comprised of good classes (II) and average classes (III), while Class IV and V accounts for a mere 35.8% and 2.9 % of the total area in 2005, then Approximately 25.5 % and 12.9 % of the entire expanse is comprised of good classes (II) and average classes (III), while Class IV and V accounts for a mere 35.8 % and 25.8% of the total area in 2022.

DOI

10.21608/ejss.2024.273620.1732

Keywords

soil productivity, Remote Sensing, GIS, Change Detection, RLPI, El-Qaliobia Governorate

Authors

First Name

Wael

Last Name

Abdel Kawy

MiddleName

Ahmed

Affiliation

Soil Science department, Faculty of Agriculture, Cairo University

Email

dr_wael_kawy@yahoo.com

City

GIza

Orcid

0009-0008-8841-0632

First Name

Batool

Last Name

Abd El-Aziz

MiddleName

Adel

Affiliation

Soil science department, Faculty of Agriculture, Cairo university

Email

batoladel2017@cu.edu.eg

City

GIza

Orcid

0000-0001-8231-8263

First Name

Ali

Last Name

Abd El-Hady

MiddleName

Abd El-Hameed

Affiliation

Soil Science department, Faculty of Agriculture, Cairo University

Email

draliabdelhameed60@gmail.com

City

GIza

Orcid

-

First Name

Rafat

Last Name

Ali

MiddleName

Ramadan

Affiliation

Soils and Water use Dept. National Research Centre

Email

bediertop@yahoo.com

City

cairo

Orcid

0000-0002-2483-2907

Volume

64

Article Issue

3

Related Issue

46704

Issue Date

2024-09-01

Receive Date

2024-02-29

Publish Date

2024-09-01

Page Start

715

Page End

730

Print ISSN

0302-6701

Online ISSN

2357-0369

Link

https://ejss.journals.ekb.eg/article_348636.html

Detail API

https://ejss.journals.ekb.eg/service?article_code=348636

Order

2

Type

Original Article

Type Code

19

Publication Type

Journal

Publication Title

Egyptian Journal of Soil Science

Publication Link

https://ejss.journals.ekb.eg/

MainTitle

Monitoring soil productivity using Remote sensing and GIS techniques in El- Qaliobia Governorate, Egypt

Details

Type

Article

Created At

23 Dec 2024