Year: 2013
Type: article
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.
Source: GIScience & Remote Sensing
Authors: Shufan Liu, Michael E. Hodgson
Institution: University of South Carolina
Language: English
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W2152621135