Satellite constellation design for forest fire monitoring via a stochastic programing approach |
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| Authors: | Aaron B. Hoskins Hugh R. Medal Eghbal Rashidi |
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| Affiliation: | 1. Industrial and Systems Engineering, Mississippi State University, Mississippi State, Mississippi;2. Department of Operations Management & Information Systems, Leavy School of BusinessSanta Clara University |
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| Abstract: | There is significant value in the data collected by satellites during and after a natural disaster. The current operating paradigm in practice is for satellites to passively collect data when they happen to fly over a disaster location. Conversely, this article considers the alternative approach of actively maneuvering satellites to fly directly overhead of the disaster site on a routine basis. Toward this end, we seek to compute a satellite constellation design that minimizes the expected maneuver costs for monitoring an unknown forest fire. In this article, we present a 2‐stage stochastic programing model for this problem as well as a accelerated L‐shaped decomposition approach. A comparison between our approach and the current operating paradigm indicates that our solution provides longer duration data collections and a greater number of data collections. Analysis also shows that our proposed solution is robust over a wide array of scenarios. |
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| Keywords: | initial orbit design L‐shaped method maneuver sequences satellite constellation stochastic programing |
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