Vol. 7 (10) pp. 499-515 DOI: 10.21474/IJAR01/9857

SOIL MAPPING OF WEST MENIA AREA, EGYPT USING REMOTE SENSING AND GIS TECHNIQUES.

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  • Soil, Water and Environment Research Institute.
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Abstract

The Western Menia area represents one of the highest priority areas for future development in the country. The studied area is located between 27 53 20.11 ? 27 58 48.34 North and 30 06 41.53 ? 30 13 6.57 East and represents an area of about 9078 Feddans. Using geological map, Digital Elevation Model (DEM) and visual interpretation of satellite data, a physiographic soil map was produced to present mapping units of the studied area. The area under investigation was classified into two landscapes, i.e. alluvial plain (4181 Feddans, 46.06 % of the total studied area) and terraces (4897 Feddans, 53.94 % of the total studied area) This study aims to assess and mapping soil properties for salinity, sodicity, lime, gypsum, depth and texture. Land capability was used to evaluate the soils of studied area. According to Sys model, the studied area was classified into four capability subclasses, i.e. S2x, S3t, S3d and S3d, t. The soils of S2xhave moderate limitations for agricultural crops, whereas texture is the most limiting factor (48.55 % of the total area). The most limiting factor of soils of S3t is topography (12.89 %), while the soils of S3d (27.89 % of the total studied area) whereas the depth is the most limiting factor. On other, hand the soils of S3d, t (10.66 % of the total studied area) whereas the depth and topography are the main limiting factor for agriculture. Soil fertility maps were conducted for macronutrients and micronutrients.

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References

  1. Arafat, S.M. (2003). The utilization of geoiformationtechndegy for agricultural development and management in Egypt Diffuse pollution Conference. Dublin
  2. Baker, M.N; Negm, A.Y and Khalial, K.E., (1999): Manual of ?Soil, Plant and Water Analysis Methods?. Plant Nutrition Dep. Soils, Water and Environ. Institute, Agric. Res. Center. Ministry of Agric. Determination of Soil Fertility Project.
  3. Brough, P.A., 1986. Principle of Geographical Information Systems for Land Resources Assessment. Oxford University Press, 194p.
  4. CLAC (2018). Central Laboratory for Agricultural Climate (CLAC) website. http: // w.w.w.calc. edu, eg.l
  5. Daels, L. 1986. Remote sensing fundamentals. Gent. State Univ., Gent., ITC. J., pp.1-19.
  6. EGSA (Egyptian Geological Survey Authority) 1988. ?Egyptian General Petroleum Corporation: Geological Map of Egypt?, Conoco Coral, printed in Germany by Institute fur AngewandteGeodasie, Berlin, TechnischeFachhochschule Berlin, Scale 1:500000.
  7. Ehlers, M., M.A. Jadkowski, R.R. Howard and D.E. Brousten (1990). Application of spot data for regional growth analysis and local planning. Photogrametric Engineering and Remote Sensing 56: 175.
  8. FAO 1976. A Framework for Land Evaluation. FAO Soil Bulletin, 32. Rome, Italy.
  9. FAO 1985. Guidelines: Land Evaluation for irrigated Agriculture. FAO Soils Bulletin No. 55, Rome, Italy.
  10. FAO, 2005. Fertilizer use by crop in Egypt. First version. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.
 
  1. FAO, 2006. ?Guidelines for soil description ?fourth edition, FAO, Rome, ISBN 92-5-105521-10.
  2. Green, K., 1992. Spatial imagery and GIS: integrated data for natural resource management. J. For. 90: 32-36.
  3. Harris, P.M. and S.J. Ventura (1995). The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Phtogromtric Engineering and Remote Sensing 61: 993.
  4. Ismail M., Abdel Ghaffar M. K. and Azzam M.A. (2012) GIS application to identify the potential for certain irrigated agriculture uses on some soils in Western Desert, Egypt. The Egyptian Journal of Remote Sensing and Space Sciences 15, 39?51
  5. Kalkhan, M.A., T.J. Stohlgren, G.W. Chong, D. lisa and R.M. Reich (2000). A predictive spatial model of plant diversity integration of remote sensed data, GIS and spatial statisties. 8 th Biennial Remote Sensing Application Conference, Albuquerque, NM.
  6. Lindsay, W.L. and Norvell, W.A. (1978): Development of a DTPA soil test for zinc, iron, manganese, and copper. J. Soil Sci. Soc. Amer., 42: 421?428.
  7. Martin, D. and S.K. Saha (2009). Land evaluation by integrating remote sensing and GIS for cropping system analysis in a watershed . Current Science. 96 (4): 569-575.
  8. Page, A.L.; Miller, R.H. and Keeney, D.R. (Eds.) (1982): Methods of Soil Analysis. Part 2. Chemical and Microbiological Properties. 2nd (Ed.). Amer. Soc. of Agronomy. Madison, Wisconsin, USA.
  9. Stein, A. (1998). Integrating spatial statistics and remote sensing. INT. J., 19 (9): 1793-1814.
  10. Sys, C. and Verheye, W. (1978). An attempt to the evaluation of physical land characteristics for irrigation according to the FAO Framework for land evaluation. Ghent, Belgium., The Netherlands, ITC. J., pp. 66-78.
  11. Sys, C., E. Van Ranst and J. Debavey. 1991. Land Evaluation. Part I and S2, Ghent Univ., Ghent Belgium.
  12. USDA 2004. Soil Survey Laboratory Methods Manual, Soil Survey Investigation Report No.42: vesion 4.0 November, 2004.
  13. Weng, Q. (2001). A remote Sensing-GIS evaluation of Urban expansion and its impact on surface temperature in the Zhujian .Delta, South China. International journal of Urban and Regional Studies 22: 425.

How to Cite This Article

Ismail M., El Ghonamey Y. K. and Ganzour Shimaa K. (2019); SOIL MAPPING OF WEST MENIA AREA, EGYPT USING REMOTE SENSING AND GIS TECHNIQUES., Int. J. of Adv. Res., 7 (10), 499-515, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/9857

Corresponding Author

Dr. Yousif Kotb
Soil, Water and Environment Research Institute
Creative Commons Attribution 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.