检索结果-南通市图书馆

Mapping forest fire risk zones with spatial data and principal component analysis

Science china(Technological sciences) 2006年第Z1期49卷 140-149页

作者： xu dong, guofan shao, dai limin, hao zhanqing, tang lei & wang hui institute of applied ecology, chinese academy of sciences, shenyang 110016, china Graduate University of chinese academy of sciences, Beijing 100039, china Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 47907, USA Department of Management, shenyang institute of Aeronautical Engineering, shenyang 110034, china Department of City Development, Jinan University, Jinan 250002, china institute of applied ecology Chinese Academy of Sciences Shenyang China Graduate University of chinese academy of sciences Beijing China Department of Forestry and Natural Resources Purdue University West Lafayette USA Department of Management Shenyang Institute of Aeronautical Engineering Shenyang China Department of City Development Jinan University Jinan China

By integrating forest inventory data with remotely sensed data, new data layers for factors that affect forest fire potentials were generated for Baihe Forestry Bureau in Jilin Province of china. The principle component analysis was used to sort out the relationships between forest fire potentials and environmental factors. The classifications of these factors were performed with GIS, generating three maps: a fuel-based fire risk map, a topography-based fire risk map, and an anthropogenic-factor fire risk map. These three maps were then synthesized to generate the final fire risk map. The linear regression method was used to analyze the relationship between an area-weighted value of forest fire risks and the frequency of historical forest fires at each forest farm. The results showed that the most important factor contributing to forest fire ignition was topography, followed by anthropogenic factors.

关键词： wildfire risk, regression analysis, geographic information system, remote sensing, Baihe Forestry Bureau.

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