الفهرس 
Study Area
Wind speedOnly 14 pages are availabe for public view
 |  | from | 254 |  |  |
| | | from | 254 | | |
Abstract
Agriculture is one of the largest sectors of the Egyptian economy as it
provides 20% of gross domestic product and 34% of the total exports. Land resources in Egypt are under tremendous pressure as a result of population density from increasing number of people, land degradation and lack of water resources.Therefore,the efficient management of natural resources in Egypt is essential to control for
meeting these challenges and ensuring sustainability in agricultural development. Wadi EL-Kubbaniya basin represents one of the selected areas for sustainable development in south Egypt. The area is located in the south western desert of Egypt between latitudes 32o 15` 43.5`and 32o 52` 57.7`` East, and latitudes 24o 1` 52`` and 25o 3` 23.7`` North. It covers about 691713.4 fed. (2905,2 km2) and is considered as one promising areas for agricultural expansions in Egypt.The present work aims at using Multi- and Hyper spectral images and GIS techniques for soil and land use mapping and determining their capability and suitability for selected crops of Wadi El-Kubbaniya basin. To achieve the aim of this study,Shuttle Radar Topography Mission (SRTM)
1-arc-second image (USGS, 2005) acquired in11/02/2000 and updated 06/08/2015 was used as the source data for elevation heights of the study area. Landsat Data Continuity Mission (LDCM) sensor covering El-Kubbaniya area acquired on 22-04-
2013 under clear sky conditions were used for multispectral analyses. Digital soil mapping for the study area was performed applying a new digital soil mapping technique that combines between land spectral features and land surface parameters methods. Preprocessing was performed on the DEM then it was used to generate other
terrain attributes like slope,aspect, curvature, profile curvature, plan curvature and relief intensity. All of these attributes with spectral classification were overlaid using Combain statistics tool in ArcGIS 10.1. The Combain statistics could separate the land forms in the study area.