首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Multi-resolution spectral analysis of wildfire potassium emission signatures using laboratory, airborne and spaceborne remote sensing
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Multi-resolution spectral analysis of wildfire potassium emission signatures using laboratory, airborne and spaceborne remote sensing

机译:利用实验室,机载和星载遥感对野火钾排放特征进行多分辨率光谱分析

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Thermal remote sensing studies of actively burning wildfires are usually based on the detection of Planckian energy emissions in the MIR (3-5μm), LWIR (8-14μm) and/or SWIR (1.0-2.5μm) spectral regions. However, vegetation also contains a series of trace elements which present unique narrowband spectral emission lines in the visible and near infrared wavelength range when the biomass is heated to high temperatures during the process of flaming combustion. These spectral lines can be discriminated by detector systems that are less costly than the longer wavelength, actively cooled instruments more typically used in EO-based active fire studies. The main trace element resulting in the appearance of spectral emission lines appears to be potassium (K), with features at 766.5. nm and 769.9. nm. Here we study K-emission line spectral signature in laboratory scale fires using a field spectrometer, at a series of moderately-sized woodland and shrubland fires using airborne imagery from a new compact hyperspectral imager (HYPER-SIM.GA) operating at a relatively fine spectral sampling interval (1.2. nm), and at large open wildfires using the EO-1 satellite's Hyperion sensor. We derive a metric based on band differencing of the spectral signal both close to and outside of the K-line region in order to quantify the magnitude of the K-emission signature, and find that variations in this metric appear to track quite well with the commonly used measures of fire radiometric temperature and fire radiative power (FRP). We find that substantial flaming activity is required to generate a potassium emission signature, but that once present this can be detected using airborne remote sensing even through a substantial smoke layer that apparently obscures fire across the remainder of the VIS spectral range. Being specific to flaming combustion, detection of the K-emission line signature could prove useful in refining estimates of the gases released in open wildfires, since trace gas emission factors can vary substantially between flaming and smouldering stages. Finally, we demonstrate the first identification of the K-emission line signature from space using the EO-1 Hyperion instrument, but find it detectable only in certain instances. We conclude that a finer spectral and spatial resolution than that offered by Hyperion is required for improved detection performance. Nevertheless, our results point to the potential effectiveness of airborne and spaceborne K-emission signature detection as a complement to the more common thermal remote sensing approaches to wildfire detection and analysis. Sensors targeting this application should consider careful placement of the measurement wavelengths around the location of the K-line wavelengths, in part to minimise influences from the nearby oxygen A-band features.
机译:主动燃烧野火的热遥感研究通常基于对MIR(3-5μm),LWIR(8-14μm)和/或SWIR(1.0-2.5μm)光谱区域中普朗克能量排放的检测。但是,植被还包含一系列痕量元素,当在燃烧燃烧过程中将生物质加热到高温时,它们会在可见光和近红外波长范围内呈现出独特的窄带光谱发射谱线。这些光谱线可以通过比长波长,主动冷却的仪器成本更低的探测器系统来区分,该更长波长的主动冷却仪器通常用于基于EO的主动火灾研究中。导致光谱发射线出现的主要微量元素似乎是钾(K),特征为766.5。 nm和769.9。纳米在这里,我们使用现场光谱仪研究了实验室规模火灾中的K发射线光谱特征,使用来自新型紧凑型高光谱成像仪(HYPER-SIM.GA)的机载图像在一系列中等大小的林地和灌木林火灾中进行了研究,该机以相对较高的精度运行光谱采样间隔(1.2。nm),以及使用EO-1卫星的Hyperion传感器在大范围野火下。我们基于靠近K线区域和位于K线区域之外的频谱信号的频带差异得出度量,以便量化K发射特征的幅度,并发现该度量的变化似乎可以很好地跟踪常用的火辐射温度和火辐射功率(FRP)度量。我们发现需要大量的燃烧活动才能产生钾的排放特征,但是一旦存在,就可以使用机载遥感检测到,即使通过明显的烟层也可以将其遮盖住整个VIS光谱范围内的火势。由于火焰燃烧的特定性,在燃烧和阴燃阶段,痕量气体排放因子可能会发生很大的变化,因此检测K排放线特征可能有助于细化明火中释放的气体。最后,我们演示了使用EO-1 Hyperion仪器从空间首次识别K发射线签名,但发现它仅在某些情况下可检测到。我们得出结论,要提高检测性能,需要比Hyperion提供的光谱和空间分辨率更好的光谱和空间分辨率。尽管如此,我们的研究结果表明,机载和星载K发射特征码检测具有潜在的有效性,可作为对野火检测和分析的更常见热遥感方法的补充。针对此应用的传感器应考虑在K线波长位置附近仔细放置测量波长,以最大程度地减少附近氧气A波段特征的影响。

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