Towards dynamic real-time scheduling for multiple earth observation satellites

Wang, Jianjiang; Zhu, Xiaomin; Yang, Laurence T.; Zhu, Jianghan; Ma, Manhao

doi:10.1016/j.jcss.2014.06.016

Cited by 58 publications

(27 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While the range from the forest fire to the satellite is minimal when the satellite passes overhead, the model could include the satellite being able to pass over a point slightly to the east or west of the forest fire. Ideally, the scheduling of image collection could be done in real‐time (Wang, Zhu, Yang, Zhu, & Ma, ) and combining the planning of the collection of images in conjunction with the maneuver sequences would be an avenue of future work. Monitoring 2 forest fires (or any 2 disasters) is another potential area of future work.…”

Section: Discussionmentioning

confidence: 99%

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

Hoskins

Medal

Rashidi

2017

Naval Research Logistics

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Hoskins

Medal

Rashidi

2017

Naval Research Logistics

View full text Add to dashboard Cite

show abstract

“…East Asia is selected as the partial distribution area. The original observation profit of the target is uniformly distributed in [1,10] and the desired observation number for each target varies between [1,5]. The scheduling horizon is set as 24 hours with initial time as 1st January 2017, 00:00:00.…”

Section: Experimental Studymentioning

confidence: 99%

Scheduling Multiple Agile Earth Observation Satellites for Oversubscribed Targets Using Complex Networks Theory

et al. 2019

View full text Add to dashboard Cite

The Earth observation satellites (EOSs) scheduling is of great importance to achieve efficient observation missions. The agile EOSs (AEOS) with stronger attitude maneuvering capacity can greatly improve observation efficiency while increasing scheduling complexity. The multiple AEOSs, oversubscribed targets scheduling problem with multiple observations are addressed, and the potential observation missions are modeled as nodes in the complex networks. To solve the problem, an improved feedback structured heuristic is designed by defining the node and target importance factors. On the basis of a real world Chinese AEOS constellation, simulation experiments are conducted to validate the heuristic's efficiency in comparison with a constructive algorithm and a structured genetic algorithm.

show abstract

“…Generally, the scheduled emergent tasks may have two types of variances in dynamic scheduling: (1) change of finish time and (2) rejection (Wang et al, 2015). (2) where disturb(i,q) is the count of variance l on task in the whole scheduling.…”

Section: Objectivesmentioning

confidence: 99%

Multi-Satellite Observation Scheduling for Large Area Disaster Emergency Response

Niu

Tang

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Timely acquiring remote sensing data is very important for rapid response to disasters. Satellite task scheduling aiming at making an optimal imaging plan, plays a key role in coordinating multiple satellites to monitor the disaster area. In the paper, to generate imaging plan dynamically according to the disaster relief, we propose a dynamic satellite task scheduling method for large area disaster response. First, an initial robust scheduling scheme is generated by a robust satellite scheduling model in which both the profit and the robustness of the schedule are simultaneously maximized. Then, we use a multi-objective optimization model to obtain a series of decomposing schemes. Based on the initial imaging plan, we propose a mixed optimizing algorithm named HA_NSGA-II to allocate the decomposing results thus to obtain an adjusted imaging schedule. A real disaster scenario, i.e., 2008 Wenchuan earthquake, is revisited in terms of rapid response using satellite resources and used to evaluate the performance of the proposed method with state-of-the-art approaches. We conclude that our satellite scheduling model can optimize the usage of satellite resources so as to obtain images in disaster response in a more timely and efficient manner.

show abstract

Towards dynamic real-time scheduling for multiple earth observation satellites

Cited by 58 publications

References 11 publications

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

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

Scheduling Multiple Agile Earth Observation Satellites for Oversubscribed Targets Using Complex Networks Theory

Multi-Satellite Observation Scheduling for Large Area Disaster Emergency Response

Contact Info

Product

Resources

About