| 结合遥感和气象数据的森林火险监测研究——以马来西亚半岛为例 |
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| 引用本文： | 彭光雄,陈云浩,李京.结合遥感和气象数据的森林火险监测研究——以马来西亚半岛为例[J].地球信息科学,2007,9(5):99-104. |
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| 作者姓名： | 彭光雄 陈云浩 李京 |
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| 作者单位： | 1. 北京师范大学资源学院, 北京师范大学环境演变与自然灾害教育部重点实验室, 北京 100875;
2. 湖南省气象台, 长沙 410007;
3. 湖南省地质环境监测总站, 长沙 410007;
4. 马来西亚国家遥感中心, 吉隆坡 50480 |
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| 基金项目： | 国家自然科学基金(40671130,40671122)，马来西亚航空遥感项目(KSTAS/MACRES/T/2/2004) |
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| 摘 要： | 结合遥感和气象数据,基于可燃物引燃能量的物理概念,利用火灾敏感性指数(FSI)进行森林火险监测和评估。计算FSI只需要两个参数,即可燃物的温度和湿度,两者均可以从遥感和气象数据获得。利用遥感数据进行可燃物类型制图,并根据可燃物易燃性对FSI的值进行调整计算。利用MODIS探测的火点数据对马来西亚半岛火灾前9天的FSI进行了比较分析,发现随着火灾发生日期的接近,FSI的值逐渐升高,这个趋势在火灾发生的前4天中表现的尤其明显。结果表明,FSI将遥感数据和气象数据两者紧密结合在一起,能够很好地对森林火险进行监测和预警,是一种性能优越的火险评价指数。FSI可用于计算可燃物的点燃概率以及在不同的生态系统中进行火险的比较,并且因其灵活性和可扩展性,有利于不同类型火险模型的集成和发展。
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| 关 键 词： | 火险 火灾敏感性指数 引燃能量 MODIS |
| 收稿时间： | 2006-10-18; |
| 修稿时间： | 2006-10-182007-05-29 |
Combination of Remote Sensing and Meteorological Data for Fire Risk Monitoring-A Case Study in Peninsular Malaysia |
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| Norizan Abdul Patah,PENG Guangxiong,CHEN Yunhao,LI Jing,Norizan Abdul Patah.Combination of Remote Sensing and Meteorological Data for Fire Risk Monitoring-A Case Study in Peninsular Malaysia[J].Geo-information Science,2007,9(5):99-104. |
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| Authors: | Norizan Abdul Patah PENG Guangxiong CHEN Yunhao LI Jing Norizan Abdul Patah |
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| Institution: | 1. College of Resources Science & Technology, Beijing Normal University, Key Lab of Environmental Change and Natural Disater, Ministry of Education, Beijing 100875, China;
2. Hunan Provincial Meteorological Observatory, Changsha 410007, China;
3. Hunan Provincial Meteorological Observatory, Changsha, 410007, China;
4. Malaysian Centre for Remote Sensing, Kuala Lumpur 50480, Malaysia |
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| Abstract: | Based on the physical concept of heat energy of preignition, a new fire susceptibility index (FSI) is used to estimate the forest fire risk. The computation of the index requires inputs of fuel temperature and fuel moisture contents, both of which can be retrieved using remote sensing data and meteorological data. FSIs are adjusted using fuel map acquired from remote sensing data. FSIs are computed in Peninsular Malaysia for nine days before fire and validated with MODIS hotspot data. Results show that FSI increases as the day gets closer to the fire day, and this trend can be observed obviously about four days before the fire day, so FSI can be used to evaluate forest fire risk. Apart from being a good estimator of fire risk, the physical basis provides more meaning to FSI, allows computations of ignition probabilities, and facilitates the development of a future class of fire risk models driven by underlying physical, chemical, and biological processes. Since the preignition energy is a physical variable, it can be used to compare fire risks across ecoregions and time periods. |
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| Keywords: | fire risk fire susceptibility index preignition heat energy MODIS |
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