Communications - Scientific Letters of the University of Zilina 2018, 20(3):77-83 | DOI: 10.26552/com.C.2018.3.77-83

Quantitative Land Suitability Mapping for Crop Cultivation

Svitlana Kokhan1, Antonina Moskalenko1, Oleg Drozdivskyi1
1 Department of Geoinformatics and Aerospace Research of the Earth, National University of Life and Environmental Sciences of Ukraine, Ukraine

Developing the structure of geodatabase and knowledge base to provide quantitative mapping of land suitability for cultivation the main crops has been shown in the research. The general model and catalogs of knowledge base were designed that are structuring and formalizing information for creating thematic and complex maps and geomodels.

The real world spatial problems give rise to multi-criteria decision-making based on geographical information systems (GIS). The GIS environment provides both aggregation and spatial analysis of various georeferenced data. In this paper, the two approaches of multi-criteria evaluation (MCE) are represented - overlaying with the AND operation and the lowest score assignment on one criterion. An example of multi-attribute decision analysis is done using criteria for the crop suitability assessment. A comparison of those two approaches has been made, based on results of the land-use suitability mapping for the study crops - winter wheat, sunflower and corn. The results demonstrated that at certain locations, a range of criteria values, according to the AND operations had the lower applicability and less flexibility than according to the second approach, based on the lowest score assignment on one criterion. Designed maps characterize the threshold status of the soil quality to provide yields of studied crops on certain areas.

A set of land suitability maps, designed as quantitative models of integration of environmental, soil and climatic conditions, would be very effective to manage the complex decisions under the crop cultivation.

Keywords: knowledge base; geodatabase; land suitability; geoinformation mapping

Received: September 30, 2017; Accepted: February 8, 2018; Published: September 30, 2018  Show citation

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Kokhan, S., Moskalenko, A., & Drozdivskyi, O. (2018). Quantitative Land Suitability Mapping for Crop Cultivation. Communications - Scientific Letters of the University of Zilina, 20(3), 77-83. doi: 10.26552/com.C.2018.3.77-83
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    References

    1. FAO. A Frame Work for Land Evaluation. Soils Bulletin, 32 [online]. Rome, 1976. Available: http://www.fao.org/docrep/x5310e/x5310e00.HTM_1976.
    2. VAN RANST, E., DEBAVEYE, J.: Land Evaluation Part I, Principles in Land Evaluation and Crop Production Calculation. Agricultural Publication, No. 7. General Administration for development cooperation, Brussels, Belgium, 1991.
    3. AHAMED, T. R. N., RAO, K. G., MURTHY, J. S. R.: GIS-Based Fuzzy Membership Model for Crop-Land Suitability Analysis. Agricultural Systems, 63, 75-95, 2000. Go to original source...
    4. CROSETTO, M., TARANTOLA, S: Uncertainty and Sensitivity Analysis: Tools for GIS-Based Model Implementation. International Journal of Geographical Information Science, 15(5), 415-437, 2010. https://doi.org/10.1080/13658810110053125 Go to original source...
    5. MALCZEWSKI, J.: GIS-Based Land-Use Suitability Analysis: A Critical Overview. Progress in Planning, 62(1), 3-65, 2004. https://doi.org/10.1016/j.progress.2003.09.002 Go to original source...
    6. SENES, G., TOCCOLINI, A.: Sustainable Land-Use Planning in Protected Rural Areas in Italy. Landscape and Urban Planning, 41, 107-117, 1998. https://doi.org/10.1016/S0169-2046(97)00064-9 Go to original source...
    7. WU, F.: SimLand: A Prototype to Simulate Land Conversion through the Integrated GIS and CA with AHP-Derived Transition Rules. Geographical Information Science, 12(1), 63-82, 1998. Go to original source...
    8. CHEN, Y., YUA, J, KHAN, S.: Spatial Sensitivity Analysis of Multi-Criteria Weights in GIS-Based Land Suitability Evaluation. Environmental Modelling and Software, 25(12), 1582-1591, 2010. https://doi.org/10.1016/j.envsoft.2010.06.001 Go to original source...
    9. CARVER, S. J.: Integrated Multi-Criteria Evaluation with Geographical Information Systems. International Journal of Geographical Information Systems, 5(3), 321-339, 2007. https://doi.org/10.1080/02693799108927858 Go to original source...
    10. VAN LIER, H.: The Role of Land Use Planning in Sustainable Rural Systems. Landscape and Urban Planning, 41(2), 83-91, 1998. Go to original source...
    11. KARPINSKI, Y., LYASCHENKO, A.: Content and Means of Modern Geo-Mapping. Proceedings of International Scientific-Practical Conference "Integration of geospatial data in studies of natural resources", Ukraine, 72-76, 2014.
    12. BULYGIN, S., ACHASOV A.: Using GIS Technology for Soil Mapping, Bulletin of Agricultural Science, 10, 52-56, 2012.
    13. KARPINSKI, Y., LYASCHENKO, A., RUNETS, R.: Reference Model of Topographic Database. Bulletin of Geodesy and Mapping, 2, 28-36, 2010.
    14. LYASCHENKO, A., CHERIN, A.: Architecture Modern GIS Based on Spatial Databases. Bulletin of Geodesy and Mapping, 5, 45-50, 2010.
    15. ZATSERKOVNYY, V., KRIVOBERETS, S.: Analysis of GIS Technology Possibilities to Monitoring of Arable Land. Chernihiv Scientific Journal, Series 2, Engineering and Nature, 2(2), 88-94, 2011.
    16. KOKHAN, S., MOSKALENKO, A.: Development of Knowledge Base Structure of Geoinformation System for Evaluation of Quality Status of Agricultural Lands. Eastern-European Journal of Enterprise Technologies, 5(2), 32-37, 2015. Go to original source...
    17. MOHD, S. A., EVANS, A., BENEST, I., KIMBLE, C.: Modelling Knowledge-Based Systems Using UML Profile [online]. Available: http://www.chriskimble.com/Publications/Documents/Abdullah_2004b.pdf.
    18. SIGOV, A., NECHAEV, V., KOSHKAREV, M.: Architecture Subject-Oriented Knowledge Base of Intellectual. International Journal of Open Information Technologies, 2(12), 1-6, 2014.
    19. ZAGORULKO, Y.: On the Concept of the Integrated Model of Knowledge Representation. Bulletin of the Tomsk Polytechnic University, 5(322), 98-103, 2013.
    20. DOBRYAK, D., KANASH, O., BABMINDRA, D., ROZUMNYI, I.: Classification of Agricultural Lands as Scientific Prerequisite of their Ecological Secure Use. Urozhay, Kyiv, 248-447, 2009.
    21. KOKHAN, S., MOSKALENKO, A., SHILO, L.: Geoinformation Service of Soil Quality Evaluation. Eastern-European Journal of Enterprise Technologies, 6(3), 18-25, 2013. Go to original source...
    22. GORODNIY, M.: Agrochemistry: Manual, the 4th edition. Aristey, Kyiv, 138-145, 2008.

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