Classification and detection of changes in land use and land cover using satellite images and GIS- near Suez Canal area
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Full Text |
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Author |
Mayada R. Attia, Ibrahim F. Shaker, Alaa Al Din I. Awad and A. M. Abdel-Wahab
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e-ISSN |
1819-6608 |
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On Pages
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479-492
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Volume No. |
19
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Issue No. |
8
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Issue Date |
June 30, 2024
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DOI |
https://doi.org/10.59018/042466
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Keywords |
planetscope imagery, image classification algorithms, change detection, encroachment.
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Abstract
Egypt has developed significantly in the vicinity of the Suez Canal and its surrounding towns over the last ten
years. Utilizing satellite pictures to identify land use and cover types from thematic maps remains difficult. Select the
optimal strategy for successful satellite image classification across various applications. Enhancing classification accuracy
requires the most effective algorithm. The effectiveness of a change detection system has not been tested in the community
of Abu SUWEIR, located near the Suez Canal region in Ismailia City, Egypt. This project analyzes seven classification
algorithms with the use of remotely sensed Planet Scope multispectral pictures to evaluate and monitor changes in land
cover in ABU SUWEIR Village from 2016 to 2022. The post-January 25, 2011 revolution period in Egypt saw a transition
from anarchy to the commencement of progress and improvement. This analysis demonstrates that the ANN classifier
achieved an overall accuracy of 77.33% in 2016 and 72.00% in 2022, with corresponding KAPPA coefficients of 0.66 and
0.58 for each year. Agriculture was the most common land use type according to the ANN categorization, making up over
60.48% of the study area in 2016 and 53.89% in 2022. Bare terrain is the second most common landcover type, accounting
for 30.31% in 2022 and 25.91% in 2016. On the contrary, urbanized regions, accounting for 13.61% in 2016 and 15.80% in
2022, are the least categorized.
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