POTENTIAL OF USING HIGH RESOLUTION SATELLITE IMAGES FOR MAPPING APPLICATIONS | ||
| JES. Journal of Engineering Sciences | ||
| Article 3, Volume 39, No 3, May and June 2011, Pages 513-528 PDF (814.33 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.21608/jesaun.2011.127577 | ||
| Authors | ||
| A. M. Abdelwahed1; F. A. Farrag1; A. Abdelhafiz1; M. A. Besheer2 | ||
| 1Civil Engineering Dept., Faculty of Eng., Assiut University, EGYPT | ||
| 2Civil Engineering Dept., Faculty of Eng., Aljouf University, KSA | ||
| Abstract | ||
| Cities and villages in Egypt are subjected to rapid growth. Growth can be beneficial economically, but it also has significant effects on the environment, and if it is left unchecked can have negative impacts. Rapid population increase led to replace agriculture land by buildings, roads and highways. The changes are in particularly harmful when urban expansion occurs against surrounding agricultural areas. So the expansion of cities and villages must be monitored. Recent developments in remote sensing enable us to use high resolution satellite images for different purposes. One of the main application fields for remotely sensed data is the large-scale topographic mapping and map revisions, for which it is necessary to detect and extract features from such imagery. The high resolution space images available now from IKONOS and Quick Bird do have a resolution which is partially in competition to aerial images. This paper presents an evaluation of using IKONOS satellite images for large scale mapping purpose. This evaluation has two elements, the first is geometric potential and the second is the information contents. The results of this study show that correcting IKONOS imagery using one or two Ground Control Points (GCPs) gives about 1.6m horizontal accuracy, higher accuracy can be obtained using more GCPs. The feature extraction is performed by manual on screen digitizing. The results are verified against a 1:25000 topographic map, features such as roads and canals can be extracted with about 70-99% accuracy. | ||
| Keywords | ||
| Large Scale Mapping; IKONOS; Information Content of Satellite Images | ||
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