Author(s)

Munkhdulam Otgonbayar¹, Clement Atzberger², Jonathan Chambers¹, D. Amarsaikhan¹, Sebastian Böck², Jargaltulga Tsogtbayar³

¹Institute of Geography-Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia.
²Institute of Surveying, Remote Sensing and Land Information, Department of Landscape Spatial and Infrastructure Science, University of Natural Resources and Life Sciences, Vienna, Austria.
³Eng-Geo Tech LLC, Ulaanbaatar, Mongolia.

The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The primary goal was to create a more accurate map to estimate vegetation criteria (above ground biomass AGB), soil organic matter, soil texture, and the hydrothermal coefficient using Landsat 8 satellite imagery. The analysis used Landsat 8 imagery from the 2016 summer season with a resolution of 30 meters, time series MODIS vegetation products (MOD13, MOD15, MOD17) averaged over 16 days from June to August 2000-2016, an SRTM DEM with a resolution of 30 meters, and a field survey of measured biomass and soil data. In total, 6 main factors were classified and quality evaluation criteria were developed for 17 criteria, each with 5 levels. In this research the spatial MCDM (multi-criteria decision-making) method and AHP based GIS were applied. This was developed for each criteria layer’s value by multiplying parameters for each factor obtained from the pair comparison matrix by the weight addition, and by the suitable evaluation of several criteria factors affecting cropland. General accuracy was 88%, while PLS and RF regressions were 82.3% and 92.8%, respectively.

Land Suitability, MCDM, Boolean and Fuzzy Analysis, AHP, RF and PLS Regression

Otgonbayar, M. , Atzberger, C. , Chambers, J. , Amarsaikhan, D. , Böck, S. and Tsogtbayar, J. (2017) Land Suitability Evaluation for Agricultural Cropland in Mongolia Using the Spatial MCDM Method and AHP Based GIS. Journal of Geoscience and Environment Protection, 5, 238-263. doi: 10.4236/gep.2017.59017.