首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >The Vegetation Structure Perpendicular Index for Wildfire Severity and Forest Recovery Monitoring
【24h】

The Vegetation Structure Perpendicular Index for Wildfire Severity and Forest Recovery Monitoring

机译:野火严重度与森林恢复监测的植被结构垂直指数

获取原文

摘要

The intensity of a wildfire depends in large part on the fuel available to the fire, including surface bark, leaf litter, and over- and understorey vegetation. The amount and configuration of these fuels are affected by cycles of destruction during fires and slow regrowth. Current fuel amounts, required for predictions of future fires, are therefore difficult to quantify as past fire history and fuel recovery must be taken into account. Most fire services rely on visual inspections of forest recovery, however, these are often subjective and very labour-intensive. Remote sensing offers an automated alternative with the potential for rapidly assessing fuel state over large areas allowing for continuous monitoring over time. This paper describes a new index for measuring temporal fuel state, called the Vegetation Structure Perpendicular Index (VSPI). The index provides an alternative to the Normalized Burn Ratio (NBR), which is prone to potentially large uncertainties due to large levels of seasonal dynamics. The VSPI estimates a vertically integrated burn severity and ecosystem recovery measurement for forested areas. The method is applied in this paper to a fire in Western Australia, the 2005 Perth Hills fire to demonstrate the capabilities and benefits of this new index. For this fire the VSPI provides a better estimate of fire severity and shows fuel disturbance levels for two years longer than the NBR, providing an improved estimation for post-fire vegetation recovery and vegetation condition assessment suitable for fire predictions.
机译:野火的强度在很大程度上取决于可用于火的燃料,包括地表树皮,枯枝落叶以及林木过高和植被不足。这些燃料的数量和配置受火灾和缓慢的再生长期间的破坏周期影响。因此,由于未来的火灾历史和燃料回收必须考虑在内,因此难以量化预测未来火灾所需的当前燃料量。大多数消防部门依靠目视检查森林恢复,但是,这些检查通常是主观的并且非常劳动密集。遥感技术提供了一种自动化的替代方法,它具有在大范围内快速评估燃油状态的潜力,可以随时间进行连续监控。本文介绍了一种用于测量时间燃料状态的新指标,称为植被结构垂直指标(VSPI)。该指数提供了归一化燃烧比(NBR)的替代选择,归一化燃烧比(NBR)由于季节性动态水平较高,容易产生较大的不确定性。 VSPI估计了林区的垂直综合烧伤严重程度和生态系统恢复测量。本文将该方法应用于西澳大利亚州的一场大火,即2005年的珀斯山大火,以证明此新指数的功能和好处。对于这种火灾,VSPI可以提供比NBR更好的火灾严重程度估计值,并且显示的燃料干扰水平要比NBR长两年,从而可以更好地估计火灾后的植被恢复情况,并进行适合火灾预测的植被状况评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号