Abstract: Canada's space-based surveillance capabilities are steadily increasing and gaining continued importance. Reasons include security issues, environmental changes and disasters, and monitoring of old and new transportation routes including challenges like opening the Arctic passage for summer maritime traffic. The primary objectives of this research project is to develop efficient models and algorithms for solving various optimization problems associated with mission planning and operations scheduling of satellites and satellite constellations that are space observing, earth observing, and special missions such as RADARSAT-2. The research project is expected to result in newl solution approaches and models for solving optimization problems of interest in satellite mission planning that are hitherto unsolved or for solving the problems more efficiently and thereby making fundamental contributions to remote sensing technology and applications. Harnessing theoretical and applied research, the project is expected to enhance the efficacy and uses of operations research methodologies in space and earth observing satellite missions planning resulting in cost savings and improved service and performance in terms of accuracy, availability, and accessibility for Canadian and international customers.