Satellite constellation design for forest fire monitoring via a stochastic programing approach

Hoskins, Aaron B.; Medal, Hugh R.; Rashidi, Eghbal

doi:10.1002/nav.21781

Cited by 14 publications

(18 citation statements)

References 51 publications

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“…To handle this stochastic situation, several studies analyzed facility location and inventory prepositioning problems. Some are as follows: Brown and Vassiliou (1993); Shen and Daskin (2005); Salmerón and Apte (2010); Shen et al (2011); Holguín‐Veras et al (2014); Sheu and Pan (2014); Noyan et al (2016); Dalal and Üster (2017); Hoskins et al (2017); Chakravarty (2018); Noham and Tzur (2018); Balcik et al (2019). Hong et al (2015) proposed a risk‐averse stochastic programming approach for a relief network design problem under uncertain arc capacity and developed a two‐pillar solution.…”

Section: Literature Reviewmentioning

confidence: 99%

Robustifying humanitarian relief systems against travel time uncertainty

Zhang

Liu

et al. 2021

Naval Research Logistics

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We consider a class of last mile distribution problems with multicenters and multiareas in disaster management, where the travel time for every pair of center‐area is uncertain. We propose a chance‐constrained model to handle this problem, which simultaneously determines the selection of emergency logistics centers (ELCs), the amount of relief transported to these ELCs, the allocation and routing of vehicles, and the equitable distribution of emergency materials from the ELCs to the disaster areas. We develop a distributionally robust optimization (DRO) model to reformulate the chance‐constraint model as a second‐order cone programming, which the proposed algorithm can solve efficiently. We present a case study of the Yushu earthquake in the Qinghai Province of the People's Republic of China to demonstrate the performance of our proposed model and method. The results reveal that (1) the DRO method outperforms the scenario‐based model in reducing cost and improving reliability, (2) deploying a large number of vehicles in the emergency centers near disaster areas can reduce cost, and (3) our proposed model evenly distributes vehicles on paths to curtail the rescue time.

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Section: Literature Reviewmentioning

confidence: 99%

Robustifying humanitarian relief systems against travel time uncertainty

Zhang

Liu

et al. 2021

Naval Research Logistics

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“…Increasing the response delay ( υ ) would give fires more time to grow before an IA is initiated, and, therefore, fire perimeters are expected to grow larger by the end of the response time limit. On the other hand, decreasing the response delay (eg, using modern technologies such as wireless sensor networks [Yu, Wang, & Meng, ] and satellites [Hoskins, Medal, & Rashidi, ]) would limit the growth of fires. The extreme case of this is the hypothetical situation in which the response delay is 0, where resources are dispatched to fires instantaneously.…”

Section: Model Demonstration and Analysismentioning

confidence: 99%

An attacker‐defender model for analyzing the vulnerability of initial attack in wildfire suppression

Rashidi

Medal

Hoskins

2018

Naval Research Logistics

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Wildfire managers use initial attack (IA) to control wildfires before they grow large and become difficult to suppress. Although the majority of wildfire incidents are contained by IA, the small percentage of fires that escape IA causes most of the damage. Therefore, planning a successful IA is very important. In this article, we study the vulnerability of IA in wildfire suppression using an attacker-defender Stackelberg model. The attacker's objective is to coordinate the simultaneous ignition of fires at various points in a landscape to maximize the number of fires that cannot be contained by IA. The defender's objective is to optimally dispatch suppression resources from multiple fire stations located across the landscape to minimize the number of wildfires not contained by IA. We use a decomposition algorithm to solve the model and apply the model on a test case landscape. We also investigate the impact of delay in the response, the fire growth rate, the amount of suppression resources, and the locations of fire stations on the success of IA.KEYWORDS attacker-defender model, critical infrastructure, initial attack, Stackelberg game, vulnerability assessment, wildfire management 1 120

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“…A global or regional observation satellite constellation is used for some emergency or significant missions such as disaster monitoring, and usually, the observation pattern of a specific constellation is restricted by both on-board instruments and geometric configuration of satellites [1,2]. However, natural disasters such as earthquakes, forest fires, or extreme weathers occur randomly, and usually, data collection is achieved only when satellites happen to fly over the disaster location [3,4]. To get timely and adequate observation for the disaster area, orbital maneuvers of satellites are required.…”

Section: Introductionmentioning

confidence: 99%

“…Yet, reconfiguration time is not considered as an optimization objective in their work. Hoskins et al [3] aimed at forest fire monitoring and introduced the L-shaped method and stochastic programing approach to design the initial constellation and maneuver sequences for reconfiguration. The direct overhead monitoring for the disaster site was achieved after the reconfiguration, and results proved that their design performs better than the existing observation satellites.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, sites which are located on the ground track can be regularly observed. In addition, since the on-board sensors benefit from minimizing the distance between the satellite and the site to be monitored, an optimal way to achieve data collection for the disaster area is to make satellites fly directly over the target site [3]. Therefore, to achieve the timely and adequate observation for a natural disaster site, the repeating ground track orbit, of which the ground track passes the site directly, can be chosen as the target orbit for each satellite in the initial constellation.…”

Section: Introductionmentioning

confidence: 99%

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Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming

Yang

et al. 2020

International Journal of Aerospace Engineering

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Data collection by satellites during and after a natural disaster is of great significance. In this work, a reconfigurable satellite constellation is designed for disaster monitoring, and satellites in the constellation are made to fly directly overhead of the disaster site through orbital transfer. By analyzing the space geometry relations between satellite orbit and an arbitrary disaster site, a mathematical model for orbital transfer and overhead monitoring is established. Due to the unpredictability of disasters, target sites evenly spaced on the Earth are considered as all possible disaster scenarios, and the optimal reconfigurable constellation is designed with the intention to minimize total velocity increment, maximum and mean reconfiguration time, and standard deviation of reconfiguration times for all target sites. To deal with this multiobjective optimization, a physical programming method together with a genetic algorithm is employed. Numerical results are obtained through the optimization, and different observation modes of the reconfigurable constellation are analyzed by a specific case. Superiority of our design is demonstrated by comparing with the existing literature, and excellent observation performance of the reconfigurable constellation is demonstrated.

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Satellite constellation design for forest fire monitoring via a stochastic programing approach

Cited by 14 publications

References 51 publications

Robustifying humanitarian relief systems against travel time uncertainty

Robustifying humanitarian relief systems against travel time uncertainty

An attacker‐defender model for analyzing the vulnerability of initial attack in wildfire suppression

Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming

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