Location of Repository

The Application of Land Evaluation Techniques in Jeffara Plain in Libya using Fuzzy Methods

By Mukhtar Elaalem

Abstract

This research compares three approaches to land suitability evaluation, Boolean, Fuzzy AHP and Ideal Point, for barley, wheat and maize crops in the north-western region of Jeffara Plain in Libya. A number of soil and landscape criteria were identified to accommodate the three cash crops under irrigation conditions and their weights specified as a result of discussions with local experts. The findings emphasised that soil factors represented the most sensitive criteria affecting all the crops considered. In contrast, erosion and slope were found to be less important in the study area. \ud Using Boolean logic the results indicated only four suitability classes (highly suitable, moderately suitable, marginally suitable and currently not suitable) for all crops. In contrast, the results obtained by adopting the Fuzzy AHP and Ideal Point approaches revealed that the area of study has a greater degree of subdivision in land suitability classes. Overall, the results of the three approaches indicated that the area under consideration has a good potential to produce barley, wheat and maize under irrigation provided that the water and drainage requirements are met. \ud Comparing the three models showed that each suitability class derived from the Boolean approach is associated with low and high values for joint membership functions when derived from Fuzzy AHP and Ideal Point approaches respectively. In other words, the two fuzzy approaches have shown their ability to explore the uncertainties associated with describing the land properties. The richer overall picture provides an alternative type of land suitability evaluation to Boolean approaches and allows subtle variations in land suitability to be explored. The Fuzzy AHP approach was found to be better than the Ideal Point approach; the latter was biased towards positive and negative ideal values. In the future, field trial plots will be needed to evaluate and validate the results further

Topics: Land suitability evaluation, Boolean, Fuzzy AHP, Ideal Point, irrigation, north-western region of Jeffara Plain in Libya
Publisher: University of Leicester
Year: 2010
OAI identifier: oai:lra.le.ac.uk:2381/8918

Suggested articles

Preview

Citations

  1. (2001). A Conceptual Model for defining and assessing land management units using a fuzzy modeling approach in GIS Environment‟. doi
  2. (1976). A framework for land evaluation. Rome: Food and Agricultural Organization of the United Nations.
  3. (2010). A Fuzzy Based Decision Support System for evaluating land suitability and selecting crops‟. doi
  4. (1992). A fuzzy-group multicriteria decision making model and its application to land-use planning‟. Environment and Planning, B: Planning and Design, doi
  5. (2006). A generalized cross-tabulation matrix to compare soft-classified maps at multiple resolutions‟. doi
  6. (1996). A GIS-based approach to multiple criteria group decisionmaking‟. doi
  7. (2005). A GIS-based multi-criteria decision making approach to forest conservation planning at a landscape scale: A case study in the Kinabalu area, doi
  8. (2009). A GIS-Based Sensitivity Analysis of Multi-Criteria Weights‟.
  9. (1999). A logical interpretation for the eigenvalues method in AHP‟. doi
  10. (1993). A multiple criteria decision making approach to GIS-based land suitability evaluation‟. doi
  11. (1997). A New Approach to Multi-criteria Decision Making in Water Resources‟.
  12. (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data‟. Remote Sensing of Environment, doi
  13. (1977). A scaling method for priorities in hierarchical structures‟. doi
  14. (1989). Agricultural Compendium for Rural Development in The Tropics and Subtropics, Second Edition.
  15. (2000). Agricultural Development Achievements Report No.38. Tripoli: Ministry of Agriculture.
  16. Agricultural drainage water management in arid and semi-arid areas. Rome: Food and Agriculture Organization of the United Nations.
  17. (1988). Agricultural land classification of England and Wales: Revised guidelines and grading the quality of agricultural land. Ministry of Agriculture Fisheries and Food.
  18. (1996). Agricultural Salinity Assessment and Management. doi
  19. (1989). ALES version 2.2. Users Manual.
  20. (1990). ALES: a framework for land evaluation using a microcomputer‟. doi
  21. (2009). An application of land suitability evaluation for FTDP: a fuzzy MCDM approach‟. doi
  22. (1951). Bureau of Reclamation Manual, vol V: Irrigated land use, part 2: Land classification.
  23. (1967). Capability Classification for Forestry doi
  24. (1992). Comparison of Boolean and fuzzy classification methods in land suitability analysis by using geographical information systems‟. doi
  25. (2008). Decision making with the analytic hierarchy process‟. doi
  26. (2003). Delineation of suitable areas for crops using a Multi Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico.‟ Agricultural Ecosystem and Environment, doi
  27. (1969). Design With Nature. doi
  28. (1996). Development and Evaluation of Five Fuzzy Multiattribute Decision-Making Methods‟. doi
  29. (2002). Expert system and GIS: an application of land suitability evaluation‟. doi
  30. (1988). Field application of the FAO guidelines for land evaluation for rainfed agriculture in comparison with the national guidelines: criticisms and proposal, FAO World Soil Resources No.62.
  31. (1992). Fundamentals of Spatial Information Systems. doi
  32. (1993). Fuzziness in Geographical Information Systems: contributions from the Analytic Hierarchy Process‟. doi
  33. (2002). Fuzzy Assessment of land suitability for scientific research reserves‟. doi
  34. (1992). Fuzzy classification methods for determining land suitability from soil profile observations and topography‟. doi
  35. (1989). Fuzzy mathematical methods for soil survey and land evaluation‟. doi
  36. (2005). Fuzzy modeling of farmers' knowledge for land suitability classification‟. doi
  37. (1987). Fuzzy reasoning: a new quantitative aid for land evaluation‟. Soil Survey.
  38. (1965). Fuzzy sets‟. doi
  39. (2007). Fuzzy Surfaces in GIS and Geographical Analysis: Theory, Analytical Methods, Algorithms and Applications. doi
  40. (2007). General Authority For Information and Yearly Bulletin.
  41. (1993). GIS and decision making. Explorations in geographic information system technology, 4.
  42. (1999). GIS and Multicriteria Decision Analysis.USA and Canada. doi
  43. (2004). GIS-based land use suitability analysis: a critical overview. doi
  44. (2008). GIS-based Multicriteria spatial modeling generic framework‟. doi
  45. Great Man-made River Project report. Tripoli, Libya: The Great Man-Made River Authority. doi
  46. (1985). Guidelines: Land evaluation for irrigated agriculture. Rome: Food and Agricultural Organization of the United Nations.
  47. (2006). IDRISI Andes Guide to GIS and Image processing.
  48. (2003). IDRISI Kilimanjaro Tutorial.
  49. (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS‟. doi
  50. (1995). Integrating geographical information systems and multiple criteria decision making methods‟. doi
  51. (1991). Integrating multi-criteria evaluation with geographical information systems‟. doi
  52. (1994). Integration of GIS-based suitability analysis and multicriteria evaluation in a spatial decision support system for route selection‟. Environment and Planning doi
  53. (1976). Irrigated and non-irrigated soybean, corn and grain sorghum root systems‟. doi
  54. (2001). Java AHP: a Web-based decision analysis tool for natural resource and environmental management‟. doi
  55. (2000). Land degradation and desertification in Libya Tripoli: Land Degradation and Desertification Research Unit, Libyan Center for Remote Sensing and Space Science. doi
  56. (1979). Land Evaluation Criteria for Irrigation. Rome: Food and Agriculture Organisation.
  57. (2004). Land Evaluation for Maize based on Fuzzy set and I interpolation‟. doi
  58. (1981). Land Evaluation. doi
  59. (1968). Land Evaluation‟, doi
  60. (2007). Land suitability classification using different sources of information: Soil maps and predicted soil attributes in Jordan‟. doi
  61. (2003). Land Suitability Evaluation for Agricultural crops: A fuzzy multicriteria decision making approach‟, Published Master‟s thesis.
  62. (2010). Land Suitability Evaluation using fuzzy continuous classification (A Case Study: Ziaran Region)‟. doi
  63. (1969). Land Use Capability Classification, Soil Survey Technical Monograph No.17.
  64. (1996). Landfill siting using geographical information systems: a demonstration‟. doi
  65. (1983). LECS. A Land evaluation computer system methodology.
  66. (1995). Libyan Soils, First Edition. Tripoli: National Scientific Research Organization.
  67. (1987). Mapping and mapping analysis: new tools for land evaluation‟. doi
  68. (1992). Micro LEIS: A Microcomputer-Based Mediterranean Land Evaluation Information System‟. Soil Use and Management, doi
  69. (1988). Multi-criteria decision making techniques in planning‟. doi
  70. (1999). Multicriteria analysis with fuzzy pairwise comparisons‟. doi
  71. (2008). Multicriteria Land Suitability Evaluation For Crops using GIS at community level in Central Vietnam, with case study
  72. (1981). Multiple Attribute Decision Making: Methods and Applications. doi
  73. (1982). Multiple Attribute Decision Making. doi
  74. (2006). Ordered weighted averaging with fuzzy quantifiers: GISbased Multicriteria evaluation for land use suitability analysis. doi
  75. (1986). Principles of Geographical Information Systems for land resources assessment. doi
  76. (1996). Satisfying future water demand of northern Libya. Tripoli: Water Resources Development.
  77. (2003). Scheduling Forest Road Maintenance Using the Analytic Hierarchy Process and Heuristics‟. doi
  78. (1998). SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules‟. doi
  79. (1974). Soil Formation and Subtropical and Tropical Soils, International Congress of Soil Scientists .
  80. (1981). Soil Survey and Land Evaluation. London: George Allen and Unwin. doi
  81. (1980). Soils study in the Western zone of the Socialist People’s Libyan Arab Jamahiriya. Tripoli: Secretariat for Agricultural Reclamation and Land Development..
  82. (1980). The Analytic Hierarchy Process. doi
  83. (2002). The assessment of land resources: Achievements and new challenges‟. doi
  84. (2004). The crop productivity erosion relationship: an analysis based on experimental work‟. doi
  85. (1961). The effect of surface soil thickness on corn yields: I. As determined by a series of experiments in farmer operated fields‟. doi
  86. (1992). The Evaluation of Land Resources. London: Longman Group
  87. (1989). The meanings of trade-offs in multiattribute evaluation methods: a comparison‟. Environment and Planning doi
  88. (1984). The nature and properties of soils. doi
  89. (2009). Using fuzzy data mining to evaluate survey data from olive grove cultivation‟. doi
  90. (2006). Using GIS and AHP Technique for Land Use Suitability Analysis‟. doi
  91. (1998). What is a Mountain? or The Englishman who went up a Boolean geographical concept but realised it was Fuzzy‟.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.