A constellation design method for forest fire monitoring

Forest fires are one of the most sudden, destructive, and difficult-to-manage natural disasters. To effectively prevent the hazards caused by forest fires, it is necessary to conduct wildfire monitoring in forested areas. In response to the specific needs of wildfire monitoring in designated regions, this paper proposes a method for the design of an elliptical critical sun-synchronous return orbit constellation. First, by considering the characteristics of the monitoring region, the advantages of using an elliptical critical sun-synchronous return orbit are analyzed, and the orbital elements of the constellation's reference orbit are determined. Then, taking into account environmental perturbations and coverage characteristics, the configuration of the elliptical critical sun-synchronous return orbit constellation is designed. Based on this, using satellite constellation coverage and revisit period as performance metrics, an improved multi-objective particle swarm optimization (MOPSO) algorithm is employed to optimize the constellation configuration. Finally, for the forest fire monitoring mission in the Qinling Mountains, a case study is conducted, providing the specific orbital elements and configuration of the constellation. The results demonstrate that the constellation design meets the expected coverage performance metrics.

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Publication Details

Published
2025-04-15
DOI
https://doi.org/10.1117/12.3059418
Primary Topic
Satellite Image Processing and Photogrammetry
Type
article
Field-Weighted Citation Impact
0.00
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article

A constellation design method for forest fire monitoring

Feng Tao, Yi Wei, Huayu Zhang, Cong Sun et al.
Satellite Image Processing and Photogrammetry
article

A constellation design method for forest fire monitoring

Feng Tao, Yi Wei, Huayu Zhang, Cong Sun, Yi Ouyang, Jianguo Zheng
article en

Abstract

Forest fires are one of the most sudden, destructive, and difficult-to-manage natural disasters. To effectively prevent the hazards caused by forest fires, it is necessary to conduct wildfire monitoring in forested areas. In response to the specific needs of wildfire monitoring in designated regions, this paper proposes a method for the design of an elliptical critical sun-synchronous return orbit constellation. First, by considering the characteristics of the monitoring region, the advantages of using an elliptical critical sun-synchronous return orbit are analyzed, and the orbital elements of the constellation's reference orbit are determined. Then, taking into account environmental perturbations and coverage characteristics, the configuration of the elliptical critical sun-synchronous return orbit constellation is designed. Based on this, using satellite constellation coverage and revisit period as performance metrics, an improved multi-objective particle swarm optimization (MOPSO) algorithm is employed to optimize the constellation configuration. Finally, for the forest fire monitoring mission in the Qinling Mountains, a case study is conducted, providing the specific orbital elements and configuration of the constellation. The results demonstrate that the constellation design meets the expected coverage performance metrics.

Northwestern Polytechnical University (CN), Shanghai Academy of Spaceflight Technology (CN), Department of Disaster Prevention and Mitigation (TH)
Climate action
Openalex Percentile: Top 90%
Satellite Image Processing and Photogrammetry
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