EI-Nahry,, A., Ghaly, F. (2003). TERRAIN ANALYSIS AS A BASE OF SOIL PRODUCTIVITY IN TUSHKA BASIN, UPPER EGYPT.. Journal of Soil Sciences and Agricultural Engineering, 28(3), 2417-2430. doi: 10.21608/jssae.2003.244105
A. H. EI-Nahry,; Fatma M. Ghaly. "TERRAIN ANALYSIS AS A BASE OF SOIL PRODUCTIVITY IN TUSHKA BASIN, UPPER EGYPT.". Journal of Soil Sciences and Agricultural Engineering, 28, 3, 2003, 2417-2430. doi: 10.21608/jssae.2003.244105
EI-Nahry,, A., Ghaly, F. (2003). 'TERRAIN ANALYSIS AS A BASE OF SOIL PRODUCTIVITY IN TUSHKA BASIN, UPPER EGYPT.', Journal of Soil Sciences and Agricultural Engineering, 28(3), pp. 2417-2430. doi: 10.21608/jssae.2003.244105
EI-Nahry,, A., Ghaly, F. TERRAIN ANALYSIS AS A BASE OF SOIL PRODUCTIVITY IN TUSHKA BASIN, UPPER EGYPT.. Journal of Soil Sciences and Agricultural Engineering, 2003; 28(3): 2417-2430. doi: 10.21608/jssae.2003.244105
TERRAIN ANALYSIS AS A BASE OF SOIL PRODUCTIVITY IN TUSHKA BASIN, UPPER EGYPT.
1National Authority for Remote SensIng and Space Sciences CaIro, Egypt.
2Mansoura University, Faculty of agriculture ,Soil dept. Egypt.
Abstract
One of the largest and most Important projects in Egypt is Tushk Project that lies in the western side or Nasser lake .Upper Egypt .The project area covers about 1.5 million feddans, of which about 500,000 (eddans will be selected (or agricultural ~ .• es. The selected area wi(! be irrigated (rom two sources of waler (ground& fk. Jded waler). The ground water will be the main water resource for irrigat!"~ followed by ,the Nile water during the high flooding seaaons. Se'Jeral attempts were carried out to select the suilable areas for agricultural purposes using the conventional methods. Due to the high cost and time consuming of th ground 5uNey in such an extremely arid land, remote sensing and Geographic 1M rmation System (GIS) have to be used for landuse planning in Tushka area. Multi-sensors remotely sensing techniques were applied to map the land resources of the project area. landsat thematiC mapper collaborated with Spot panchromatic Image~es were analyzed to define Ihe different mappiog units of the area. Data merging te9hniques were performed 10 identify the physiographic units of the studied area accurately. Elghleen pt"lysiographic units have been recognized t.e. peniplains, footslopes, alkali flats, mesas and buttes ,ridges, chain of barcharts ,hills, hilly land ,alluvial fans, plains covered wflh desert pavement, dry valleys, escarpment, decantalion basins. plateau, inclined granitic casement, clusters of basalt and pediment. Physiographic units were integrated with Ihe other parameters for identifying the soil type. Soil pr ductivily ctassification was applied to evaluate the potentialities of land reso rces ror agriculture. SOil productivity classes range between grade III and VI. On e other hand, the collected surface and ground wa\ef samples were analyzed and classified as C1-S1 for Ihe surface water which is suitable for most crops and C3·S1 for the ground water samples which is suitable for salt tolerant crops.
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