The consequences of prolonged precipitation-deficient periods are primarily substantial water deficit, with the spatial characteristics of a place being (semi)arid, and various socioeconomic factors worsening its impacts and deepening poverty among agrarian communities.This study utilizes a combination of climate, remote sensing and field survey data from farmers to obtain a first-hand information on the impacts of recent (2015 and 2017) droughts on crop yield in Raya Azebo and Endamehoni woredas in Ethiopia. Annual rainfall, kiremt rainfall, annual NDVI and Dev-NDVI, kiremt season Dev-NDVI, monthly Dev-NDVI (for June to October), and monthly SPI-1, SPI-3 and SPI-12 (for June to October) were considered as likely factors that could relate with yield and yield loss in the area. Correlation and multiple linear stepwise regression statistical techniques were used to determine drought-yield relationships, and identify more accurate predictors of yield and yield losses in each of the drought years.Results obtained show droughts as having spatiotemporal variations and impacts, with its primary and common reflection being reduced vegetation amount, translating to crop failures, food shortages and reduced income of smallholders.Spate irrigation should be further popularized in the low-lying areas of Raya Azebo to augment for future deficiencies in the kiremt rainfall.