| publication name | Developing Updated Base map for River Nile in Egypt Using Free Sources Satellite Images |
|---|---|
| Authors | Ali El Sagheer ; Maher Amin ; Mervat Refaat ; Omayma Obada |
| year | 2018 |
| keywords | Satellite Imagery ; Google Earth Imagery ; ARCGIS on Line ; Global Positional System (GPS) ; Horizontal Positional Accuracy ; Image Registration ; Coordinate Transformation ; Base map and Geographic Information System |
| journal | American Journal of Geographic Information System 2018 |
| volume | 7(1) |
| issue | Volume 7, Number 1, 2018 |
| pages | 32-39 |
| publisher | Scientific & Academic Publishing |
| Local/International | International |
| Paper Link | http://article.sapub.org/10.5923.j.ajgis.20180701.03.html |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
The uses of the River Nile can be improved in transportation, tourism and other important fields by using Geographical Information System (GIS) and Remote Sensing techniques as creating River Nile base map for monitoring River Nile resources. In order to develop an updated base map for River Nile in Egypt, it was necessary to address, review, assesses and evaluates the available different free sources satellite images. In this paper, four study areas over Egypt were chosen and definite points were observed for those areas using GPS techniques. The same specified points were determined on the available free satellite images. Assessment for free sources satellite images, in terms of horizontal accuracy, and depending on the available images resolution, has been evaluated. The obtained results of Root Mean Square Error (RMSEr) for horizontal coordinate differences in small areas vary from 1.57 m to 5.06 m, and large area varies from 8.52 m to 9.15 m. Image registration techniques were applied using two dimensional transformations process in the previous four study areas between the two free sources satellite images (Image-to-Image registration) and between satellite image and GPS points (Image-to-Ground registration) to get the register image points with suitable accuracy comparable with GPS accuracy and images resolution. The transformation parameters (Scale (s), Rotation (θ) and Translations (ΔX, ΔY)) are calculated for the areas under consideration. The Root Mean Square Error (RMSEr) obtained from the transformation process in small areas varies from 1.94 m to 2.86 m and in large area varies from 7.428 m to 8.586 m. Then these calculated transformation parameters used to transform other points onto the required system. This approach can be used in different areas which have lack of GPS observed points to calculate semi-ground points from transformed measured free imagery points with suitable accuracy compared with the accuracy of GPS and images resolution. Finally, using free sources satellite images with Geographic Information System Application to building an updated base map for River Nile in Egypt.