Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm
In recent years, the frequency and severity of large-scale forest fires have increased globally, threatening forest ecosystems, human lives, and property while potentially triggering cascading ecological and social crises. Despite significant advancements in remote sensing-based forest fire monitori...
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/10/5553 |
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| author | Pan Pei Xiaojian Hao Ziqi Wu Rui Jia Shenxiang Feng Tong Wei Wenxiang You Chenyang Xu Xining Wang Yuqian Dong |
| author_facet | Pan Pei Xiaojian Hao Ziqi Wu Rui Jia Shenxiang Feng Tong Wei Wenxiang You Chenyang Xu Xining Wang Yuqian Dong |
| author_sort | Pan Pei |
| collection | DOAJ |
| description | In recent years, the frequency and severity of large-scale forest fires have increased globally, threatening forest ecosystems, human lives, and property while potentially triggering cascading ecological and social crises. Despite significant advancements in remote sensing-based forest fire monitoring, early warning systems, and fire risk zoning, post-fire thermal damage assessment remains insufficiently addressed. This study introduces an innovative approach combining multispectral imaging with a dual annealing constrained optimization algorithm to enable dynamic monitoring of fire temperature distribution. Based on this method, we develop a dynamic thermal damage assessment model to quantify thermal impacts during forest fires. The proposed model provides valuable insights for defining thermal damage zones, optimizing evacuation strategies, and supporting firefighting operations, ultimately enhancing emergency response and forest fire management efficiency. |
| format | Article |
| id | doaj-art-b736b7cba902441b8dcdf423aa27ac14 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b736b7cba902441b8dcdf423aa27ac142025-08-20T02:33:30ZengMDPI AGApplied Sciences2076-34172025-05-011510555310.3390/app15105553Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing AlgorithmPan Pei0Xiaojian Hao1Ziqi Wu2Rui Jia3Shenxiang Feng4Tong Wei5Wenxiang You6Chenyang Xu7Xining Wang8Yuqian Dong9State Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaNORINCO Group Air Ammunition Research Institute Co. Ltd., Harbin 150001, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaState Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan 030051, ChinaIn recent years, the frequency and severity of large-scale forest fires have increased globally, threatening forest ecosystems, human lives, and property while potentially triggering cascading ecological and social crises. Despite significant advancements in remote sensing-based forest fire monitoring, early warning systems, and fire risk zoning, post-fire thermal damage assessment remains insufficiently addressed. This study introduces an innovative approach combining multispectral imaging with a dual annealing constrained optimization algorithm to enable dynamic monitoring of fire temperature distribution. Based on this method, we develop a dynamic thermal damage assessment model to quantify thermal impacts during forest fires. The proposed model provides valuable insights for defining thermal damage zones, optimizing evacuation strategies, and supporting firefighting operations, ultimately enhancing emergency response and forest fire management efficiency.https://www.mdpi.com/2076-3417/15/10/5553forest firesmultispectraldual annealing algorithmimage processingdisaster prediction |
| spellingShingle | Pan Pei Xiaojian Hao Ziqi Wu Rui Jia Shenxiang Feng Tong Wei Wenxiang You Chenyang Xu Xining Wang Yuqian Dong Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm Applied Sciences forest fires multispectral dual annealing algorithm image processing disaster prediction |
| title | Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm |
| title_full | Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm |
| title_fullStr | Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm |
| title_full_unstemmed | Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm |
| title_short | Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm |
| title_sort | evaluation of thermal damage effect of forest fire based on multispectral camera combined with dual annealing algorithm |
| topic | forest fires multispectral dual annealing algorithm image processing disaster prediction |
| url | https://www.mdpi.com/2076-3417/15/10/5553 |
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