Remote sensing techniques have been extensively used as useful and cost-effective tools to evaluate the potential of renewable energy and its spatial distribution over large areas. On the one hand, remote sensing can provide data applicable in the evaluation of renewable energy sources such as solar and wind. On the other hand, remote sensing can serve as a key input in process-based modeling relevant to renewable energy (e.g., hydropower and bioenergy). Renewable energy development is subject to spatial constraints such as environmental and ecological factors, which must be taken into account in determining the suitable location of generating facilities. Remote sensing, a powerful tool for monitoring surface characteristics, can help evaluate these spatial constraints in renewable energy development.