GIS and fuzzy logic integration in land suitability assessment for surface irrigation: the case of Guder watershed, Upper Blue Nile Basin, Ethiopia

Abstract Before planning the use of existing land resources for irrigation, it is necessary to determine their availability. The primary goal this research was examine Guder watershed's resource potential irrigation development and create a geo-referenced map these using geographic information system coupled with fuzzy logic. Irrigation suitability criteria such as slope, use, proximity water body, rainfall deficit, soil texture class, depth, drainage classes, road were considered when evaluating prospective irrigable properties. maps divided into four classes natural break interval range technique. According study's findings, 39.8% watershed area Highly suitable, 34.5% moderately acceptable, 24.5% marginally 1.2% not suitable aforementioned reasons. study characteristics, 70.42% 15.57% 10.6% 3.95% slope are Highly, moderately, surface respectively. In addition, 15% in Area system. terms cover 75% highly favorable, whereas 0.3% development. GIS remote sensing offer straightforward powerful framework combining spatially complicated field variables research. This demonstrates effectiveness logic technique combined an effective model finding on continental scale.