Land Suitability Evaluation for Agricultural Cropland in Mongolia Using the Spatial MCDM Method and AHP Based GIS
Open Access
- 1 January 2017
- journal article
- research article
- Published by Scientific Research Publishing, Inc. in Journal of Geoscience and Environment Protection
- Vol. 05 (09), 238-263
- https://doi.org/10.4236/gep.2017.59017
Abstract
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.Keywords
This publication has 26 references indexed in Scilit:
- Uncertainty analysis in the application of multi-criteria decision-making methods in Australian strategic environmental decisionsJournal of Environmental Planning and Management, 2013
- Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information NeedsRemote Sensing, 2013
- A fuzzy-stochastic OWA model for robust multi-criteria decision makingFuzzy Optimization and Decision Making, 2008
- Spatial based compromise programming for multiple criteria decision making in land use planningEnvironmental Modeling & Assessment, 2006
- Remote estimation of canopy chlorophyll content in cropsGeophysical Research Letters, 2005
- Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of VegetationJournal of Plant Physiology, 2004
- Soil resources mapping: A remote sensing perspectiveRemote Sensing Reviews, 2001
- SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rulesInternational Journal of Geographical Information Science, 1998
- Landsat TM image texture and moisture variations of the soil surface under the rainforest of the Rondonia state, BrazilInternational Journal of Remote Sensing, 1998
- A feedback based modification of the NDVI to minimize canopy background and atmospheric noiseIEEE Transactions on Geoscience and Remote Sensing, 1995