Identification of forest fire points under clear sky conditions with Himawari-8 satellite data
文献类型：期刊论文
| 作者 | Zhou, Wei1,3; Tang, Bo-Hui1,2,3; He, Zhi-Wei1,3; Huang, Liang1,3; Chen, Junyi1,3 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2024-01-02 |
| 卷号 | 45期号:1页码:214-234 |
| ISSN号 | 0143-1161 |
| 关键词 | Forest fire Himawari-8 threshold-based algorithm random forest model dynamic identification |
| DOI | 10.1080/01431161.2023.2295834 |
| 通讯作者 | Tang, Bo-Hui(tangbh@kust.edu.cn) |
| 英文摘要 | Since forest fire is one of the most dangerous natural disasters and presents serious threats to the local ecological environment, economic growth, and public safety, it is essential to carry out accurate and real-time forest fire monitoring. In this study, a forest fire monitoring method that combines a threshold-based algorithm and random forest (RF) model using Himawari-8 data is proposed. The threshold-based algorithm employs the solar zenith angle to adaptively determine the potential fire point judgement threshold to extract possible fire points. The RF model constructed with spectral features and spatio-temporal information is subsequently utilized to eliminate pseudo-fire points from the results of the threshold-based algorithm. To eliminate fire points in non-forest areas, post-processing is performed using land cover data. Five fire occurrence moments in the research area are selected to verify the identification accuracy. The results reveal that the overall accuracy and the overall comprehensive evaluation values are 97.36% and 0.913, respectively, which demonstrates that the proposed method is capable of accurately identifying forest fire points and providing an effective means for forest fire monitoring. |
| WOS关键词 | DETECTION ALGORITHM |
| 资助项目 | National Natural Science Foundation of China[42230109] ; Yunling Scholar Project of the Xingdian Talent Support Program of Yunnan Province[41961053] ; Platform Construction Project of High-Level Talent in the Kunming University of Science and Technology (KUST) |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:001133794800001 |
| 资助机构 | National Natural Science Foundation of China ; Yunling Scholar Project of the Xingdian Talent Support Program of Yunnan Province ; Platform Construction Project of High-Level Talent in the Kunming University of Science and Technology (KUST) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201458]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Bo-Hui |
| 作者单位 | 1.Yunnan Prov Dept Educ, Key Lab Plateau Remote Sensing, Kunming, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.Kunming Univ Sci & Technol, Fac Land Resource Engn, 68 Wenchang Rd,121 St, Kunming 650093, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Wei,Tang, Bo-Hui,He, Zhi-Wei,et al. Identification of forest fire points under clear sky conditions with Himawari-8 satellite data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2024,45(1):214-234. |
| APA | Zhou, Wei,Tang, Bo-Hui,He, Zhi-Wei,Huang, Liang,&Chen, Junyi.(2024).Identification of forest fire points under clear sky conditions with Himawari-8 satellite data.INTERNATIONAL JOURNAL OF REMOTE SENSING,45(1),214-234. |
| MLA | Zhou, Wei,et al."Identification of forest fire points under clear sky conditions with Himawari-8 satellite data".INTERNATIONAL JOURNAL OF REMOTE SENSING 45.1(2024):214-234. |
入库方式： OAI收割
来源：地理科学与资源研究所
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