Abstract

The land has been always a basic factor for growing crops. The term land suitability can be defined in this regard as the ability of a particular type of land to support for a specific use, and the land suitability classification process involves the evaluation and grouping of a particular land area in terms of their suitability for a defined use. Land suitability is a description of compatibility level of a land for certain utilization. For the present research work areas spatially suitable for the Mung bean for low land crop identified using GIS tools. Food security is not just an economic problem but also a social and political issue relates in the country. Ensuring food security for all is one of the major challenges that our Country (Ethiopia) faces today, production of surplus in the areas like this study conducted (part of Wollo) is one of the problem solve by researches. Remotely sensed data (Landsat images), Digital elevation model and soil data was loaded and processed in GIS software i.e. Arc10.5 version and ERDAS 2015 was used for land cover map development. MCDM based AHP methods have used for spatial analysis in agriculture. Using the weights generated from AHP for the various parameters, the maps of soil (texture and depth), Climatic factors (climate and Temperature) and topographic (slope and altitude) were overlaid to generate the final Green gram suitability map of the Whole Wollo. Keywords: Land suitability, GIS tools and AHP DOI: 10.7176/JESD/11-23-04 Publication date: December 31 st 2020

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