Efforts to evaluate the level of food security in the West African Sahel have been ongoing for nearly two decades. Organizations devoted to early warning use many sources of data to determine if a community may be food insecure, including satellite derived vegetation indices and food prices. By developing a series of multi-linear models, the relationship between the price of the primary subsistence coarse grain millet and seasonal fluctuations in satellite-derived vegetation was established. Building on these models, historical prices and future price movements were estimated, and maps of the spatial distribution of millet prices in West Africa, based on variations in vegetation as described by satellite data, were derived. Satellite images of vegetation condition were integrated with known historical behavior of prices in an area of rain-fed subsistence agriculture in order to derive an annual indicator of food access based on the divergence of the calculated seasonal price increase from the expected. The combination of forecasting and imaging capabilities provides a powerful new indicator of access to food in West Africa.