基于卫星遥感技术的输电线路山火风险评估系统
The Risk of Wildfire Evaluation System for Transmission Lines Based on Remote Sensing Technology
DOI: 10.12677/JEE.2015.32008, PDF, HTML, XML, 下载: 3,217  浏览: 10,578  国家自然科学基金支持
作者: 陈孝明, 阮 羚, 黄俊杰:国网湖北省电力公司电力科学研究院,湖北 武汉;徐 侃, 陈志国, 李 陶:武汉大学卫星导航定位技术研究中心,湖北 武汉
关键词: 输电线路山火卫星遥感风险评估跳闸火点识别Transmission Line Wildfire Remote Sensing Risk Assessment Tripping Fire Point Recognition
摘要: 研发了输电线路走廊山火风险实时监测与分析系统,提出结合国内外卫星遥感影像数据分析的山火风险评估模型。将该系统成功的应用于湖北电网输电线路山火风险评估,实现了湖北电网范围内的输电线路不同区域的风险分级,应用结果表明,本系统通过互联网技术和卫星遥感,专家系统,大数据挖掘等多重手段,有效的获取了山火风险高发区段,指导了冬春季节的山火预防工作。
Abstract: In this paper, a real-time monitoring and analysis system for risk of wildfire in transmission line corridor is presented, which has been combined with wildfire risk assessment model based on domestic and international satellite image data. This system has been successfully applied in wild-fire risk assessment for transmission line power grid of Hubei province, which has also realized the classification of risk for different areas in transmission line. The final results have shown that, combined with multiple methods, such as, internet technology, remote sensing technology, expert system and data mining, areas in transmission line with high wildfire risk can be effectively ob-tained by the proposed system, which could be regarded as a guide for fire prevention in the sea-sons of spring and winter.
文章引用:陈孝明, 徐侃, 阮羚, 陈志国, 黄俊杰, 李陶. 基于卫星遥感技术的输电线路山火风险评估系统[J]. 电气工程, 2015, 3(2): 60-70. http://dx.doi.org/10.12677/JEE.2015.32008

参考文献

[1] 胡志东 (2006) 森林防火. 中国林业出版社, 北京.
[2] 覃先林 (2005) 遥感与地理信息系统技术相结合的林火预警方法的研究. 中国林科院, 北京.
[3] 舒立福, 张小罗, 戴兴安, 等 (2003) 林火研究综述(II)-林火预测预报. 世界林业研究, 4, 34-37.
[4] Burgan, R.E. and Hartford, R.A. (1991) Estimation of vegetation greenness and site moisture using AVHRR date. Proceeding of the Society of American Foresters National Convention, USA, 1-14.
[5] Burgan, R.E. (1996) Use of remotely sensed date for fire danger estimation. Remote Sensing of Environment, 4, 1-8.
[6] Burgan, R.E., Klaver, R.W. and Klaver, J.M. (1998) Fuel models and fire potential from satellite and surface observations. International Journal of Wildland Fire, 8, 159-170.
[7] Finney, M.A. (2003) Calculation of fire spread rates across random landscapes. International Journal of Wildland Fire, 12, 167-174.
[8] Dempewolf, J., Trigg, S., DeFries, R.S. and Eby, S. (2007) Burned-area mapping of the Serengeti-Mara Region using MODIS reflectance date. IEEE Geoscience and Remote Sensing Letters, 4, 312-316.
[9] Li, R.-R., Kaufman, Y.J. and Hao, W.M. (2004) A technique for detecting burn scars using MODIS date. IEEE Transactions on Geoscience and Remote Sensing, 42, 1300-1308.
[10] Shabanov, N.V., Huang, D., Yang, W.Z. and Tan, B. (2005) Analysis and optimization of the MODIS leaf area index algorithm retrievals over broadleaf forests. IEEE Transactions on Geoscience and Remote Sensing, 43, 1855-1865.
[11] Turner, D.P., Ritts, W.D., Zhao, M.S., et al. (2006) Assessing interannual variation in MODIS-based estimates of gross primary production. IEEE Transactions on Geoscience and Remote Sensing, 44, 1899-1907.
[12] Abuelgasim, A.A., Fernandes, R.A. and Leblanc, S.G. (2006) Evaluation of national and global LAI products derived from optical remote sensing instruments over Canada. IEEE Transactions on Geoscience and Remote Sensing, 44, 1872-1884.
[13] 郭广猛 (2004) MODIS数据处理及其在林火预警中的理论与方法研究. 中国科学院, 北京.
[14] 易浩若, 纪平, 覃先林 (2004) 全国森林火险预报系统的研究与运行. 林业科学, 3, 203-207.
[15] Zhou, W.Q., Zhou, Y., Wang, S.X. and Zhao, Q. (2003) Early warning for grassland fire danger in north China using remote sensing. IEEE International Geoscience and Remote Sensing Symposium, 4, 2505-2507.
[16] 叶立平, 陈锡阳, 何子兰, 谢从珍, 黄健华, 夏云峰, 戴栋 (2014) 山火预警技术在输电线路的应用现状. 电力系统保护与控制, 6, 145-153.
[17] 陆佳政, 吴传平, 杨莉, 张红先, 刘毓, 徐勋建 (2014) 输电线路山火监测预警系统的研究及应用. 电力系统保护与控制, 16, 89-95.
[18] 古晓蓓, 田永雨, 杨艳军, 吴向斌 (2014) 输电线路山火预警监测系统的设计与实现. 国土资源导刊, 10, 107- 111.
[19] 覃先林, 张子辉, 李增元, 田祖为, 熊有强, 杨德付, 张瑞 (2010) 林火预警及实现方法. 北京林业大学学报, 4, 17-21.
[20] 白尚斌, 张晓丽 (2008) 林火预测预报研究综述. 森林防火, 2, 22-25.
[21] 胡湘 (2006) 电网的山火防治与运行优化研究. 长沙理工大学, 长沙.