• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Retrieval of sub-pixel-based fire intensity and its application for characterizing smoke injection heights and fire weather in North America.
【24h】

Retrieval of sub-pixel-based fire intensity and its application for characterizing smoke injection heights and fire weather in North America.

机译：基于亚像素的火灾强度的检索及其在表征北美烟雾喷射高度和火灾天气中的应用。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

For over two decades, satellite sensors have provided the locations of global fire activity with ever-increasing accuracy. However, the ability to measure fire intensity, know as fire radiative power (FRP), and its potential relationships to meteorology and smoke plume injection heights, are currently limited by the pixel resolution. This dissertation describes the development of a new, sub-pixel-based FRP calculation (FRPf) for fire pixels detected by the MODerate Resolution Imaging Spectroradiometer (MODIS) fire detection algorithm (Collection 5), which is subsequently applied to several large wildfire events in North America. The methodology inherits an earlier bi-spectral algorithm for retrieving sub-pixel fire area and temperature, but also makes a new and important advancement for the derivation of FRP f by accounting for solar and atmospheric effects as a function of Earth-satellite geometry at the MODIS fire detection channels. The retrieved fire (flaming) area is assessed using high-resolution airborne data (3-50 meters), and shows that the FRPf, in combination with retrieved fire area, allows a large fire burning at a low intensity to be separated from a small fire burning at a high intensity. While variations in the atmospheric profile may increase the potential for error, the algorithm is much more sensitive to errors in 11 mum background brightness temperature, where an error of only 1.0 K may alter the retrieved fire area by an order of magnitude or more. These sources of uncertainty can be reduced through the summation of individual pixel-level retrievals for large clusters of fire pixels, which can be defined based on the resolution of a mesoscale model grid. An independent test reveals that unlike the standard MODIS pixel-based FRP, the flux of FRPf per fire pixel cluster, defined as FRPf divided by the retrieved fire area, has a stronger and statistically significant correlation with surface (10-meter) wind speed (R = 0.55) and air temperature (R = 0.77), especially for large fire events. Comparisons between FRPf flux and smoke plume height data, provided by the Multi-angle Imaging SpectroRadiometer (MISR), also produce a much stronger correlation (R = 0.49) compared to the current MODIS FRP (R = 0.16). These strong relationships, combined with additional applications in the North American boreal forest, uniquely demonstrate that FRPf flux not only provides an enhanced characterization of fire weather, but is also an improved quantitative tool for identifying the thermal buoyancy required to estimate smoke plume heights. This information can be used to advance the prediction of smoke emissions and transport, especially when applied to the next generation of satellite sensors.
机译：在过去的二十多年中，卫星传感器以越来越高的精度提供了全球火灾活动的地点。但是，测量火势的能力（称为火辐射功率（FRP））及其与气象学和烟羽喷射高度的潜在关系目前受到像素分辨率的限制。本文介绍了一种新的基于亚像素的FRP计算（FRPf）的开发方法，该方法由MODerate分辨率成像分光辐射计（MODIS）火灾检测算法（集合5）检测到，随后将其应用到以下几种大型野火事件中北美。该方法继承了较早的用于检索子像素着火区域和温度的双光谱算法，但是通过将太阳和大气效应作为地球上卫星几何函数的函数，FRP f的推导也取得了新的重要进展。 MODIS火灾探测通道。使用高分辨率的机载数据（3至50米）评估取回的火灾（着火）区域，结果表明FRPf与取回的火灾区域相结合，可以将低强度的大火与小火区分开大火燃烧。尽管大气廓线的变化可能会增加发生错误的可能性，但该算法对11毫米背景亮度温度中的错误更为敏感，其中仅1.0 K的错误可能会将检索到的着火区域改变一个数量级或更多。这些不确定性的来源可以通过对火象素大簇的单个象素级检索的求和来减少，这可以根据中尺度模型网格的分辨率来定义。一项独立测试表明，与基于标准MODIS像素的FRP不同，每个火灾像素簇的FRPf通量（定义为FRPf除以检索到的火灾区域）与表面（10米）风速具有更强的统计显着性（ R = 0.55）和空气温度（R = 0.77），特别是在发生大火的情况下。与当前的MODIS FRP（R = 0.16）相比，多角度成像光谱辐射仪（MISR）提供的FRPf通量和烟羽高度数据之间的比较也产生了更强的相关性（R = 0.49）。这些牢固的关系，再加上在北美北方森林中的其他应用，独特地证明了FRPf通量不仅提供了增强的火灾天气特征，而且还是一种改进的定量工具，可用于识别估算烟羽高度所需的热浮力。该信息可用于推进烟雾排放和运输的预测，尤其是在应用于下一代卫星传感器时。

著录项

  • 作者

    Peterson, David A.;

  • 作者单位

    The University of Nebraska - Lincoln.;

  • 授予单位 The University of Nebraska - Lincoln.;
  • 学科 Atmospheric sciences.;Meteorology.;Remote sensing.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 181 p.
  • 总页数 181
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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