Subject Area
Civil and Environmental Engineering
Article Type
Case Study
Abstract
Understanding land use / land cover changes is essential for planning sustainable development. It represents the transformation of the land due to human activities, which is related to sustainable development that aims to achieve the needs of the present generations without affecting the future. Land use / Land cover is studied in Al Alamein region, northern Egypt, with supervised classification methods using satellite images from Landsat 8 and Sentinel - 2A in 2023 and analyzes the accuracy assessment, which shows Maximum likelihood is better in both sensors achieving overall accuracy (91.80% and 91.02%) and kappa coefficient (0.814 and 0.8799). Then indices are applied in 2013, 2018, and 2023 using Landsat 8 data. The results of accuracy assessment show that SAVI for vegetation, WVWI for water, and NDBI for urban are the suitable indices for the study area. Moreover, increasing ratios are calculated which provides data for decision makers.
Keywords
Land use, Land cover, indices, accuracy assessment, sustainability
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Abd El Hamed, Ahmed A. F.; Zarzoura, Fawzi H.; and El-Mewafi, Mahmoud
(2025)
"Time Series Modeling of Land Use and Land Cover Classification Using Remote Sensing,"
Mansoura Engineering Journal: Vol. 50
:
Iss.
2
, Article 16.
Available at:
https://doi.org/10.58491/2735-4202.3364
Included in
Architecture Commons, Civil and Environmental Engineering Commons, Life Sciences Commons



