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ZAKARIA YEHIA AHMED,
- Professor, Department of engineering , Thebes Higher Institute of Engineering, Cairo, Egypt
Abstract
By integrating high-resolution satellite images into pre-existing mapping frameworks, this study tackles the problem of guaranteeing correctness and dependability in geospatial data updates. The main goal is to assess which satellite imagery sources—SuperView, Ikonos, QuickBird, and WorldView—are appropriate for updating maps at 1:2500 and 1:5000 scales. The process entails evaluating radiometric quality, geometric dependability, spatial correctness, and picture resolution and comparing the results to the specifications of different mapping tasks. The results show that SuperView imagery, which offers a balance between detail, coverage, and cost, is best suited for 1:2500 scale mapping at a resolution of 0.5 meters. Using SuperView imagery greatly improves location precision while preserving cost effectiveness when precise basemaps at a 1:5000 scale are available. Ikonos, QuickBird, and WorldView’s higher-resolution datasets perform better than SuperView in crucial applications that demand sub-meter accuracy, especially in environmental monitoring and urban infrastructure. The study comes to the conclusion that the goal of the mapping, the accuracy of the current map, and the permitted spatial error should all be taken into consideration while choosing imagery. The ongoing development of Earth Observation technology highlights the importance of careful dataset selection in providing useful geospatial intelligence and opens up new possibilities for accurate urban planning, infrastructure monitoring, and environmental analysis.
Keywords: Map Scale , Geospatial Accuracy, Satellite Imagery, Map Updating, Remote sensing applications
ZAKARIA YEHIA AHMED. The Impact of Using High-Resolution Satellite Images on Improving Geographic Maps. Journal of Remote Sensing & GIS. 2026; 17(01):-.
ZAKARIA YEHIA AHMED. The Impact of Using High-Resolution Satellite Images on Improving Geographic Maps. Journal of Remote Sensing & GIS. 2026; 17(01):-. Available from: https://journals.stmjournals.com/jorsg/article=2026/view=238837
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Journal of Remote Sensing & GIS
| Volume | 17 |
| 01 | |
| Received | 15/01/2026 |
| Accepted | 31/01/2026 |
| Published | 06/02/2026 |
| Publication Time | 22 Days |
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