This proposal focuses on the application area of public health by enhancing of the Famine Early Warning Systems Network and the World Food Program?s Vulnerability Assessment Mission?s urban food security program using NASA Earth Science results. Through the implementation of a new economic model that links variations in commodity prices to weather-related local variations in production, it is possible to provide commodity price projections and regional price maps for the most food insecure urban areas of Africa. These data will enhance food security by providing modeled price data to the large humanitarian aid agencies that are responsible for monitoring current conditions and responding to future problems. Variations in food production will be monitored using information from MODIS on the Terra and Aqua satellites and future changes modeled using NASA-funded NDVI projection models. Price information on primary commodities, which vary by country b ut include millet, sorghum, maize (corn), rice and cowpea, will be obtained from a regional network of markets through existing databases. Frequent satellite vegetation index measurements, together with statistical projections of vegetation indices based on rainfall forecasts, are used operationally to reduce the error structure of the model. The objective of this work is to implement a real time price forecasting system based on a case study using 15 years of historical cereal prices.