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139429

A Comparative Study of the Different Remote Sensing Techniques for Evaluating Land Use/ Cover in Basra City, Iraq.

Article

Last updated: 04 Jan 2025

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Tags

Public Works Engineering

Abstract

Basra governorate represents one of the most important governorates in Iraq, where it is the only seaport for exporting oil and agriculture products. However, this governorate is facing serious land degradation problems results in major changes in land use/ cover (LULC) within the area. Accordingly, the main objective of this study was to evaluate LULC in Basra city using different techniques on remotely sensed data.  For that purpose, Landsat 8, Sentinel 2A images were used in 2018 to study extent of urban areas, agricultural lands, water bodies and bare lands areas in Basra city center. The studied techniques include: the supervised classification in three methods (minimum distance, maximum likelihood, and Mahalanobis distance), spectral indices, manual digitizing of features and land surface temperature (LST). These methods were applied on both Sentinel 2A and Landsat data at three spatial resolutions 10, 15 and 30 m, respectively. The obtained results indicated that the minimum distance technique has the highest accuracy in identifying LULC when compared with the other classification methods. It was found that the higher the spatial resolution the higher the accuracy of the results. The spectral indices were more accurate than the classification methods in identifying agricultural areas and water bodies. There was a higher inclusion between urban areas and bare lands due to the similarity in their spectral reflectance. Accordingly, it is recommended to manually digitize urban areas than classifying it. The LST can be used as an indirect and fairly accurate method for evaluating LULC in Al-Basra city.
In conclusion, remote sensing data and techniques could help in providing more accurate information about LULC in Basra City to be used in its future planning and sustainable development

DOI

10.21608/bfemu.2021.139429

Keywords

Land use/ cover, land degradation, Remote Sensing, Image classification, Land surface temperature Basra city

Authors

First Name

Mahmoud

Last Name

Shteiwi

MiddleName

Elmwafi

Affiliation

Professor of surveying and geodesy in Public Works Department, Faculty of Engineering, Mansoura University, Egypt.

Email

mmewafi1@mans.edu.eg

City

Mansoura

Orcid

-

First Name

F.

Last Name

Zarzoura

MiddleName

-

Affiliation

Lecturer in Public Works Department, Faculty of Engineering, Mansoura University, Egypt

Email

fawzihamed@mans.edu.eg

City

-

Orcid

-

First Name

Zaid

Last Name

Jumaah

MiddleName

-

Affiliation

Department of Public Works, Faculty of Engineering, Mansoura University, Egypt.

Email

zaidalebadi@gmail.com

City

-

Orcid

-

Volume

45

Article Issue

4

Related Issue

17795

Issue Date

2020-12-01

Receive Date

2020-11-08

Publish Date

2021-01-14

Page Start

21

Page End

32

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 45_Issue 4_Pages 21-32.pdf

PDF . 1.8MB

Link

https://bfemu.journals.ekb.eg/article_139429.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=139429

Order

17

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

A Comparative Study of the Different Remote Sensing Techniques for Evaluating Land Use/ Cover in Basra City, Iraq.

Details

Type

Article

Created At

22 Jan 2023