Malaria is one of the high priority tropical diseases in Tropical Countries. Although, there havernbeen many efforts to eradicate malaria from the world over a long period of time, yet it remains arncomplex disease. Among the efforts made so far, the main intervention area has been targeting atrnthe ecology of the Mosquito. This study is aimed at first mapping malaria hazard areas and thenrnthe malaria risk areas at Awassa and Wondongenet Woredas. For mapping malaria hazard areasrnfive parameters were selected. The parameters include elevation, slope, distance from rivers,rndistance from wetlands and drainage density. The elevation, slope, and river net works werernderived from SRTM satellite data and the wet land layer was extracted from land use/land coverrnmap. These layers were combined by using weighted multi criteria evaluation. Similarly, riskrnmap was developed depending on the malaria hazard layer, land use/land cover, distance fromrnhealth stations layer and population density layer of the study area. The landuse/ landcover layerrnwas obtained from Landsat ETM+ imagery of the year 2005. The resulting malaria hazard maprndepicts that 184.7Km2, 76.3 Km2, 37.4 Km2, 26.9 Km2, and 24.1 Km2 representing 48.6%,rn19.9%, 9.7%, 7%, and 6.3%, of the total area is subject to very high, high, moderate, low, andrnvery low level of malaria hazard. The remaining 32.0 Km2 (8.4%) of the total area is free fromrnmalaria. Yuwa, Aruma, Edo, Busa, Chuko, Entaye, Kela, Wetera, Shasha Kakale, Gotu Anuma,rnAbaye and Baja Fabrica kebeles were found to be under high malaria hazard. The risk maprnproduced from the overlay analysis of the four parameters also showed that 122Km2(32%),rn117Km2(30.7%), 60Km2(15.7%), 31Km2(8.1%) 19Km2 (5%), and 32Km2(8.4%) of the totalrnarea is subject to very high, high, moderate, low, very low and is free from malaria riskrnrespectively. Part of Abaye, Yuwo, Aruma, Tllu, Chefe Kotegebesa, Swampy area, ShashsarnKakalo, Washa Soyama, and Gamato are subject to very high risk of malaria. In conclusion, 68%rnof the total area is highly exposed to malaria hazard and more than 60% is under high risk ofrnmalaria. It is also suggested that it will be cost effective and time as well as energy saving if thernresults of this study will be incorporated into the ongoing malaria eradication programs.rnKey words: GIS, Remote Sensing, MCE, malaria hazard, malaria risk