This chapter presents an overview of the effectiveness of satellite imagery with remote-sensing applications in determining the fishing grounds with the greatest potential and their applicability for the commercial species of sardines on the African North Coast with a special focus on Egypt, Morocco, and Tunisia. Most marine fish species tend to aggregate in large schools that can span tens of kilometers. Thus, finding fish schools and productive fishing areas costs money and time as well as human efforts in many commercial fisheries. To reduce the cost of fishing operations, there is a need to accurately predict and detect economically fishable aggregations of fish in space and time. The application of remote sensing for some controlling variables (e.g., chlorophyll-a and temperature) together with statistical analysis and the advancement of geographic information analysis are the recent techniques that could help to manage fisheries at a sustainable level. Those methodologies have been applied in several oceans and seas and are efficient at determining the fishing zones/grounds for several species. The model has been applied along the northern coast of Africa, succeeded in several trials and various seasons for sardines species, and guides fishing fleets to increase their catch. These modern techniques may facilitate the implementation of an ecosystem-based approach to fishery management. The assessment of the effectiveness of satellite images in predicting potential fishing grounds and their applicability for the Mediterranean sardines (S. aurita) in Egypt, Tunisia, and Morocco are reviewed in this chapter.