Land suitability analysis is the evaluation and grouping of specific areas of land in termsrnof their suitability for a defined use. Land suitability potential evaluation for agriculturalrncrops is an important step for sustainable land use planning. Improper land use resultsrnin land degradation and decline in agricultural productivity. Hence, in order to get thernoptimum benefit out of the land, proper utilization of its resources is inevitable. GIS andrnremote sensing offer a convenient and powerful platform to integrate spatially complexrnand different land attributes for performing land suitability analysis and allocations.rnThis study intended to analyze and map suitable land areas for agricultural crops inrnMojo Watershed using GIS and remote sensing techniques. The study used weightedrnoverlay technique of MCE in a GIS platform to arrive at the final land suitability forrnagricultural crops. In addition a vector overlay (union) was used for suitable landrnallocation for the evaluated crops. The factors that were considered for evaluation of thernland suitability analysis for agricultural crops are soil (depth, drainage, texture, organicrnmatter, and pH), rainfall, temperature, slope and land use/land cover. The resultrnshowed that 27.3%, 35.4%, and 15.7% of the study area are classified as highly suitablernfor teff, wheat, and chickpea production, respectively. In addition, 65.2%, 60.9%, 77.9%rnand 80.2% were found to be moderately suitable while 4.1%, 0.6%, 3.3% and 16.5% isrnmarginally suitable land for teff, wheat, chickpea and lentil, respectively. The resultrnindicated that, there is no land that is classified as currently not suitable for wheat.rnHowever 0.3%, 0.03% and 0.04% of the study area is classified as currently not suitablernfor teff, chickpea and lentil, respectively. The vector overlay result indicated that 4.0%rnof land is highly suitable for both teff and wheat; 11.2% is highly suitable for wheat andrnchickpea; 2.6 % is highly suitable for teff, wheat and chickpea. In the same manner,rn26.8% of the study area is moderately suitable for teff, wheat, chickpea and lentil.rnTherefore, integrating MCE with GIS for land suitability analysis for agricultural crops forrnspatial decision making process is a worthwhile technique. Hence, to increase the choicernfor the stakeholders and decision makers, further analysis for different LUTs is necessary.rnKeywords: Mojo Watershed, Land suitability analysis, GIS and Remote Sensingrntechniques, Multiâ€criteria Evaluation, Suitable land allocation