CROPLAND SUITABILITY ASSESSMENT AND CONFUSION MATRIX EVALUATION WITH GIS

Authors

  • Myagmartseren P Department of Geography, National University of Mongolia
  • Myagmarjav I School of Agroecology, Mongolian University of Life Sciences, Ulaanbaatar, Mongolia

DOI:

https://doi.org/10.5564/mjas.v21i02.911

Keywords:

Cropland survey, GIS - MCDA, AHP, capability analysis, multicriteria analysis

Abstract

Aim of the research is to test multi-criteria method for suitability valuation with GIS method in cropland of Bornuur, Mongolia. The research has following steps: (i) to value the suitable land for cropland with basic condition (constraint mapping) (ii) to value the suitable land with Multi-criteria (factor mapping) analysis; iii) to check the integrated suitability assessment image with confusion matrix. Basic condition or constraint map is drawn with Boolean logic method. Weighted value for analysis had been calculated using “ranking hierarchy". Weighted linear model are used for it. Cropland factors hierarchy is sorted out through pair wais comparison technique. The relative weight is calculated using analytical hierarchy processing (AHP) method for sorting factors based on previous researches and shows following values: S=organic matter*0.36+ (A+B) horizon*0.22+ soil texture*0.16 + slope*0.08+ soil moisture*0.06+ altitude*0.04+ soil stoniness* 0.02+ exch. bases* 0.02 + pH*0.02. To check the accuracy and agreement the field study materials archived in 1989-2009 and performed model map had been used in confusion matrix evaluation. It could be concluded that suitability map is prpcessed somewhat correct according to the result of overall accuracy 0.83, matched cells 72-95% and Kappa coefficient 0.8 results. Correspondingly the places modeled for an exploration area for the cropland was matched to the current location of agricultural land possessions.

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Published

2018-02-06

How to Cite

P, M., & I, M. (2018). CROPLAND SUITABILITY ASSESSMENT AND CONFUSION MATRIX EVALUATION WITH GIS. Mongolian Journal of Agricultural Sciences, 21(02), 78–83. https://doi.org/10.5564/mjas.v21i02.911

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Articles