Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensing
Abstract Egypt is experiencing considerable changes in its agricultural areas primarily due to unorganized urban sprawl. These changes can lead to reducing area of the highly productive fertile lands, posing major threats to food security and impacting the regional environment and society. This stud...
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-96601-7 |
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| author | Abdalmonem Alkhawaga Mohamed Mohamed Bakenaz Zeidan Mohamed Elshemy Ahmed Elshinnawy |
| author_facet | Abdalmonem Alkhawaga Mohamed Mohamed Bakenaz Zeidan Mohamed Elshemy Ahmed Elshinnawy |
| author_sort | Abdalmonem Alkhawaga |
| collection | DOAJ |
| description | Abstract Egypt is experiencing considerable changes in its agricultural areas primarily due to unorganized urban sprawl. These changes can lead to reducing area of the highly productive fertile lands, posing major threats to food security and impacting the regional environment and society. This study assesses land use and land cover (LULC) changes in Kafr El-Sheikh Governorate, Nile Delta, Egypt, from 1990 to 2018, proposing a technique that considers cropping seasons using the normalized difference vegetation index (NDVI) for classification enhancement. Supervised classification using the maximum likelihood algorithm was applied to spectral bands for Landsat satellite images covering the study period. Results revealed that the area of the natural reserve of Lake Burullus decreased by approximately 6.3% and that Kafr El-Sheikh Governorate lost approximately 91.5 km2 of agricultural land between 2010 and 2018. This indicates that Kafr El-Sheikh currently suffers from rapid unorganized urban sprawl, leading to a loss of agricultural area at an annual rate of approximately 0.4%. Using the NDVI enhanced the overall classification accuracy by 4.4%. Regular assessment of LULC incorporating higher-resolution data sources is essential in the future for planning, mitigation, and adaptation strategies. |
| format | Article |
| id | doaj-art-ce90ecc2ed33492e8e0e5ffd11b0b5d5 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-ce90ecc2ed33492e8e0e5ffd11b0b5d52025-08-20T02:11:41ZengNature PortfolioScientific Reports2045-23222025-04-0115111510.1038/s41598-025-96601-7Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensingAbdalmonem Alkhawaga0Mohamed Mohamed1Bakenaz Zeidan2Mohamed Elshemy3Ahmed Elshinnawy4Department of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta UniversityCivil and Environmental Engineering Department, College of Engineering, UAEUDepartment of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta UniversityDepartment of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta UniversityDepartment of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta UniversityAbstract Egypt is experiencing considerable changes in its agricultural areas primarily due to unorganized urban sprawl. These changes can lead to reducing area of the highly productive fertile lands, posing major threats to food security and impacting the regional environment and society. This study assesses land use and land cover (LULC) changes in Kafr El-Sheikh Governorate, Nile Delta, Egypt, from 1990 to 2018, proposing a technique that considers cropping seasons using the normalized difference vegetation index (NDVI) for classification enhancement. Supervised classification using the maximum likelihood algorithm was applied to spectral bands for Landsat satellite images covering the study period. Results revealed that the area of the natural reserve of Lake Burullus decreased by approximately 6.3% and that Kafr El-Sheikh Governorate lost approximately 91.5 km2 of agricultural land between 2010 and 2018. This indicates that Kafr El-Sheikh currently suffers from rapid unorganized urban sprawl, leading to a loss of agricultural area at an annual rate of approximately 0.4%. Using the NDVI enhanced the overall classification accuracy by 4.4%. Regular assessment of LULC incorporating higher-resolution data sources is essential in the future for planning, mitigation, and adaptation strategies.https://doi.org/10.1038/s41598-025-96601-7Food securityLand use changesLandsat, Maximum likelihood algorithmNormalized difference vegetation indexNile Delta |
| spellingShingle | Abdalmonem Alkhawaga Mohamed Mohamed Bakenaz Zeidan Mohamed Elshemy Ahmed Elshinnawy Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensing Scientific Reports Food security Land use changes Landsat, Maximum likelihood algorithm Normalized difference vegetation index Nile Delta |
| title | Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensing |
| title_full | Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensing |
| title_fullStr | Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensing |
| title_full_unstemmed | Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensing |
| title_short | Assessment of land use/land cover changes for Kafr El-Sheikh governorate, Egypt, utilizing remote sensing |
| title_sort | assessment of land use land cover changes for kafr el sheikh governorate egypt utilizing remote sensing |
| topic | Food security Land use changes Landsat, Maximum likelihood algorithm Normalized difference vegetation index Nile Delta |
| url | https://doi.org/10.1038/s41598-025-96601-7 |
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