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Investigations of innovative algorithms for quantitative high temperature event (fires, volcano eruptions, etc.) emission analysis applying infrared spectrum and image data fusion

机译:用于定量高温事件(火灾,火山爆发等)的创新算法的研究应用红外谱和图像数据融合的发射分析

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High Temperature Events (HTEs) like vegetation fires, peat/coal seam burning, and active volcanoes emit large quantities of radiative active gases and aerosols into the atmosphere. Quantification of these is required to determine their influence on atmospheric processes. For this purpose a sensor/data fusion technique has been developed to investigate HTEs from space. It combines high spatial, low spectral resolution infrared image and high spectral, low spatial resolution spectrometer data in order to derive parameters such as: THE type and area, plume gas concentration and temperature, total plume gas contents, etc.. Simulations of the method rendered promising results. Currently there is no dedicated sensor system in space. Application to AIRS/MODIS data of Portugal 2003 fires have confirmed the need for high spectral resolution The superior spectral resolution of IASI encourages to investigate the IASI/AVHRR combination.
机译:高温事件(HTES)如植被火灾,泥炭/煤层燃烧和活性火山,将大量的辐射活性气体和气溶胶融入大气中。需要定量这些,以确定它们对大气过程的影响。为此目的,已经开发了传感器/数据融合技术来调查空间的HTES。它结合了高空间,低频分辨率红外图像和高光谱,低空间分辨率光谱仪数据,以推导出参数:类型和面积,羽流气体浓度和温度,总羽流气体内容等。该方法的模拟提供了有希望的结果。目前在太空中没有专用的传感器系统。应用于Airs / Modis数据的葡萄牙2003年火灾已经证实了需要高光谱分辨率,IASI的卓越光谱分辨率促进IASI / AVHRR组合。

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