PARAMETRIC ASSESSMENT OF LAND CAPABILITY AND SUITABILITY FOR SOME CROPS USING ADVANCED TECHNIQUES. | ||
| Journal of Soil Sciences and Agricultural Engineering | ||
| Article 3, Volume 33, Issue 11, November 2008, Pages 8305-8315 PDF (733.13 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/jssae.2008.200398 | ||
| Authors | ||
| T. K. Ghabour1; H. A. Meshref2; M. M. Wahba1; Fatma A. Ghali2; Sahar A. Selim1 | ||
| 1Soils and Water Use Dept., National Res. Centre, Dokki, Egypt. | ||
| 2Soil Department, Faculty of Agriculture, El-Mansoura University. | ||
| Abstract | ||
| The current work aims at employing the advanced techniques; GIS and computerized mathematical models for land evaluation, to assess the land capability and suitability of large areas. The area of El-Ismaillia Governorate was chosen as a study area. Sixteen soil profiles, that covered most of the soil types of the area, were selected and characterized. The characterization results were input to ALES-Arid land evaluation software. The outputs revealed that the land capability class C3 (Fair) included most of the soils of the study area where, it covered almost 72% of the total area under investigation. The soils belonged to land capability C4 (Poor) occupied about 21% of the entire area of the governorate. These soils had several limitations but severer than those of C3. The land suitability for the studied crops revealed that most of the soils belong to suitable S1 and moderately suitable S2 for wheat and barely. In the case of maize and rice, however the soils were found to be marginally, conditionally suitable and actually unsuitable. The soils of the region were mostly suitable for alfalfa. Most of the soils in the area were suitable to moderately suitable for sugar beet with few areas of marginally to conditionally suitable. The area belonged to marginally suitable class for sunflower. While the faba-bean showed mostly conditionally suitability in the area. | ||
| Keywords | ||
| Land capability; Land suitability for crops; GIS; ALES | ||
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