Evaluation of agricultural land suitability: Application of fuzzy indicators

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5072 LNCS, Issue PART 1, 2008, Pages 475-490

  Kurtener, Dmitry ^a   Torbert, H Allen ^b   Krueger, Elena ^c  

^a AGROPHYSICAL RESEARCH INSTITUTE   (Russian Federation)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c Independent Researcher   (United States)

Author keywords

Fuzzy indicator; Fuzzy set theory; Land suitability evaluation

Indexed keywords

FUZZY SETS; SET THEORY;

AGRICULTURAL LANDS; FUZZY INDICATOR; FUZZY MODELING; FUZZY SET THEORY; LAND SUITABILITIES; LAND SUITABILITY EVALUATION; WEIGHTED AVERAGES;

APPLICATIONS;

EID: 54249127782     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69839-5_35     Document Type: Conference Paper

References (57)

1. Baja, S., Chapman, D.M., Dragovich, D.: A conceptual model for defining and assessing land management units using a fuzzy modeling approach in GIS environment. Environmental Management 29, 647-661 (2002)
2. Baja, S., Chapman, D.M., Dragovich, D.: Using GIS-based continuous methods for assessing agricultural land use potential in sloping areas. Environment and Planning B: Planning and Design 29, 3-20 (2002)
3. Baja, S., Chapman, D.M., Dragovich, D.: Spatial based compromise programming for multiple criteria decision making in land use planning. Environmental Modeling and Assessment 12, 171-184 (2007)
4. Banai, R.: Fuzziness in geographical information systems: contributions from the analytical hierarchy process. International Journal of Geographical Information Systems 7, 315-329 (1983)
5. Bouaziz, R., Chakhar, S., Mousseau, V., Ram, S., Telmoudi, A.: Database design and querying within the fuzzy semantic model. Information Sciences 177, 4598-4620 (2007)
6. Bogardi, I., Bardossy, A., Mays, M.D., Duckstein, L.: Risk assessment and fuzzy logic as related to environmental science, SSSA Special publ. 47 (1996)
7. Busscher, W., Krueger, E., Novak, J., Kurtener, D.: Comparison of soil amendments to decrease high strength in SE USA Coastal Plain soils using fuzzy decision-making analyses. International Agrophysics 21, 225-231 (2007)
8. Burrough, P.A.: Principles of Geographical Information Systems for Land Resource Assessment. Oxford University Press, New York (1986)
9. Burrough, P.A., McDonnell, R.A.: Principles of Geographical Information Systems. Oxford University Press, New York (1998)
10. Burrough, P.A.: Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science 40, 477-492 (1989)
11. Burrough, P.A., MacMillan, R.A., van Deursen, W.: Fuzzy classification methods for determining land suitability from soil profile observations and topography. Journal of Soil Science 43, 193-210 (1992)
12. Carver, S.: Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information Systems 5, 321-339 (1991)
13. Chakhar, S., Mousseau, V.: Spatial multicriteria decision making. In: Shehkar, S., Xiong, H. (eds.) Encyclopedia of Geographic Information Science, pp. 747-753. Springer, New York (2008)
14. Chakhar, S., Mousseau, V.: Multicriteria spatial decision support systems. In: Shehkar, S., Xiong, H. (eds.) Encyclopedia of Geographic Information Science, pp. 753-758. Springer, New York (2008)
15. De la Rosa, D., van Diepen, C.A.: Qualitative and Quantitative Land Evaluations. Encyclopedia of Life Support System. EOLSS-UNESCO (2002)
16. Dent, D., Young, A.: Soil Survey and Land Evaluation. George Allen & Unwin, Boston (1981)
17. Eastman, J.R., Jiang, H.: Fuzzy measures in multi-criteria evaluation. In: Second International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Studies, Fort Collins, Colorado, pp. 527-534 (1995)
18. Jager, R.: Fuzzy Logic in Control. Delft TU Publisher, Delft (1995)
19. Jankowski, P.: Integrating geographical information systems and multiple criteria decision making methods. International Journal of Geographical Information Systems 9, 251-273 (1995)
20. Jankowski, P., Nyerger, T.L., Smith, A., Moore, T.J., Horvath, E.: Spatial group choice: a CDSS tool for collaborative spatial decision making. International Journal of Geographical Information Systems 11, 566-602 (1997)
21. Jiang, H., Eastman, J.R.: Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Science 14, 173-184 (2000)
22. Joerin, F., Theriault, M., Musy, A.: Using GIS and outranking multicriteria analysis for land-use suitability assessment. International Journal of Geographical Information Science 15, 153-174 (2001)
23. Kaufmann, A., Gupta, M.M.: Fuzzy Mathematical Models in Engineering and Management Science. Elsevier Science Publ., Amsterdam (1988)
24. Karlen, D.L., Mausbach, M.J., Doran, J.W., Cline, R.G., Harris, R.F., Schuman, G.E.: Soil quality: a concept, definition, and framework for evaluation. Soil Science Society of America Journal 61, 4-10 (1997)
25. Kaiumov, M.K.: Handbook on yield programming (in Russian). Moscow (1977)
26. Katorgin, I.U.: Analysis and estimation of agrolandscapes of Stavropol region using GIS technologies (in Russian). Stavropol State University, Stavropol (2004)
27. Kurtener, D., Badenko, V.: Questions of integration of some ecological models into geoinformation system. In: UDMS 1999 on Information Technology in the Service of Local Government Planning and Management. UDMS Press, Venice (1999)
28. Kurtener, D., Yakushev, V., Badenko, V., Pourabbas, E.: Development of methodology of multiple assessment of landscape parcels on the base fuzzy models integrated into GIS environment. Special publ. No 1. SPBISTRO, St. Petersburg (1999)
29. Kurtener, D., Badenko, V., Cudlip, W.: Development of the methodology of multiple assessment of burned areas in forest regions for the planning of restoration actions. In: Kurtener, D.A., Yakushev, V.P. (eds.) Agrophysical and Ecological Problems of Agriculture in the 21st Century, vol. 2, pp. 54-62. SPBISTRO, St. Petersburg (2000)
30. Kurtener, D., Badenko, V.: Precision agriculture experimentation on the base of fuzzy models synthesized with GIS. Aspects of Applied Biology 61, 139-143 (2000)
31. Kurtener, D., Badenko, V.: Development of the methodology of assessment of site-specific residue management actions on the basis of fuzzy models integrated into a GIS environment. In: 15th ISTRO conference on agroecological and ecological aspects of soil tillage. ISTRO Press, Fort Worth, Texas (2000)
32. Kurtener, D., Badenko, V.: Applications of GIS knowledge management for decision making in the field of land market and land consolidation. In: UDMS 2000. UDMS Press, Delft (2000)
33. Kurtener, D., Badenko, V.: Methodological framework based on fuzzy set theory for land use management. J. Braz. Comp. Soc. 6, 26-32 (2000)
34. Kurtener, D., Rossi, L., Badenko, V.: Development of fuzzy direction of GIS knowledge management with the use of Eurimage products. In: Kurtener, D.A., Yakushev, V.P. (eds.) Agrophysical and Ecological Problems of Agriculture in the 21st Century, vol. 2, pp. 14-26. SPBISTRO, St. Petersburg (2000)
35. Kurtener, D., Badenko, V.: Applications of GIS knowledge management for spatial planning of water resources for sustainable development of European agriculture. In: 19th European Regional Conference on Sustainable Use of Land and Water, Brno (2001)
36. Kurtener, D., Badenko, V.: Fuzzy Algorithms to Support Spatial Planning. In: Geertman, S., Stillwell, J. (eds.) Planning Support Systems in Practice. Springer, Berlin (2002)
37. Kurtener, D., Krueger-Shvetsova, E., Dubitskaia, I.: Quality estimation of data collection. In: UDMS 2004, pp. 9.101-9.109. UDMS Press, Giorggia-Venice (2004)
38. Kurtener, D., Krueger-Shvetsova, E., Dubitskaia, I.: Field agriculture experimentation: assessment of geo referenced data quality. In: IAMFE/RUSSIA, pp. 120-127. IAMFE Press, St. Petersburg (2004)
39. Krueger-Shvetsova, E., Kurtener, D.: A management fuzzy indicators for precision agriculture. In: Kurtener, D.A., Yakushev, V.P. (eds.) Agrophysical and Ecological Problems of Agriculture in the 21st Century., vol. 4, pp. 31-43. SPBISTRO Press, St. Petersburg (2003)
40. Krueger-Shvetsova, E., Kurtener, D.: Evaluation of cultivation practices using fuzzy multiattributive decision-making approach. In: Kurtener, D.A., Yakushev, V.P. (eds.) Agrophysical and Ecological Problems of Agriculture in the 21st Century, vol. 4/2, pp. 44-53. SPBISTRO Press, St. Petersburg (2003)
41. Mays, M.D., Bogardi, I., Bardossy, A.: Fuzzy logic and risk-based soil interpretations. Geoderma 77, 299-315 (1997)
42. Malczewiski, J.: GIS and multicriteria decision analysis. Wiley&Sons, New York (1999)
43. Malczewski, J.: Fuzzy Screening for Land Suitability Analysis. Geographical and Environmental Modelling 6, 27-39 (2002)
44. Mathworks Inc, http://www.mathworks.com/
45. McBratney, A.B., Whelan, B.M., Taylor, J.A., Pringle, M.J.: A management opportunity index for precision agriculture. In: 5th International Conference on Precision Agriculture and Other Resource Management, Bloomington, Minnesota (2000)
46. Pereka, J.M.C., Duckstein, L.: A multiple criteria decision making approach to GIS-based land suitability evaluation. International Journal of Geographical Information Systems 7, 407-424 (1993)
47. Pedrycz, W., Gomide, F.: An introduction to fuzzy sets. MIT Press, Cambridge (1998)
48. Ross, T.J.: Fuzzy Logic with Engineering Applications. McGraw-Hill, New York (1995)
49. Rigby, D., Howlett, D., Woodhouse, P.: Management sustainability indicators for natural resource management & policy: A review of indicators of agricultural and rural livelihood sustainability. Working paper 1, Research project No. R7076CA (2000)
50. Senes, G., Toccolini, A.: Sustainable land-use planning in protected rural areas in Italy. Landscape and Urban Planning 42, 107-117 (1998)
51. Sicat, R.S., Carranza, E.M., Nidumolu, U.B.: Fuzzy modeling of farmers' knowledge for land suitability classification. Agricultural Systems 83, 49-75 (2005)
52. Smith, P.N.: Fuzzy evaluation of land-use and transportation options. Environment and Planning B 19, 525-544 (1992)
53. Torbert, H.A., Searcy, S.W., Kenimer, A.L., Roades, J.: Precision farming effects on corn productivity and water quality. In: Second international conference on geospatial information in agriculture and forestry, Lake Buena Vista, Florida (2000)
54. Voogd, H.: Multicriteria Evaluation for Urban and Regional Planning. Pion, London (1983)
55. Walker, J.: Environmental indicators and sustainable agriculture. In: McVicar, T.R., Rui, L., Walker, J., Fitzpatrick, R.W., Changming, L. (eds.) Regional Water and Soil Assessment for Managing Sustainable Agriculture in China and Australia, ACIAR Monograph No. 84, pp. 323-332 (2002)
56. Xiang, W.N., Gross, M., Fabos, J.G., Macdougall, E.B.: A fuzzy group multi-criteria decision making model and its application to land-use planning. Environment and Planning B 19. 61-84 (1992)
57. Yakushev, V.P., Kurtener, D.A., Badenko, V.L., Kudashev, E.V., Cudlip, W.: Methodology of multiple assessment of landscape parcels on the base of fuzzy set theory models integrated into geographic information systems (GIS). Russian Agricultural Science 4, 42-A3 (2000)