Optimizing large area coverage from multiple satellite-sensors

Abstract

Rapid damage information collection and dissemination during the disaster emergency response phase is a very important remote sensing-based approach. For large disasters like hurricanes and earthquakes, multiple satellite-sensor overpasses with varying pointing angles are required to fully cover the large impact area. This article presents an optimization model for satellite image acquisition planning utilizing geographic space, time and collection scenario requirements. An online remote-sensing planning tool prototype implementing the optimization model and algorithm is provided for disaster management agencies and emergency response decision-makers to get ranked satellite image acquisition plans.