This research covers the current status of rice land malaria mapping with particular reference to recent developments in spaceborne data availability. A land cover map was generated in Erdas Imagine V8.7(R) using Quickbird 0.6 m and Ikonos 4.0 m visible and near-infrared (NIR) data acquired July 2005, for Kangichiri, Kiuria and Rurumi agro-village complexes within the Mwea Rice Scheme, Kenya. Field sampling data was acquired from the three study sites during July 2005 to July 2006. We performed a maximum likelihood unsupervised classification on the satellite datasets. Each paddy and canal habitat in the three study sites was digitally traced in Arc Info 9.1(R) which served as a grid. A unique identifier was placed in each grid cell. All habitats in each study site were stratified based on levels of rice stage ( 1 = ploughed, 2 = flooded, 3 = posttransplanting, 4 = tillering, 5 = flowering/maturation, 6 = fallow). Differentially corrected global positioning systems(DGPS) ground coordinates of rice land Anopheles oviposition sites were overlaid on the satellite datasets. An analyses of variance test between aquatic habitat, strata and study site was performed. The Ikonos data and the QuickBird data identified every rice land aquatic habitat by village and strata. Ikonos and QuickBird visible and NIR data of geo-referenced riceland An. arabiensis aquatic habitats can develop and implement an Integrated Vector Management (IVM) program based on larval productivity.