首页> 外文会议>Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV >Using Remotely Sensed Thermal Infrared Multispectral Data and Thermal Modeling to Estimate Lava Tube Roof Thickness atKilauea Volcano, Hawaii
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Using Remotely Sensed Thermal Infrared Multispectral Data and Thermal Modeling to Estimate Lava Tube Roof Thickness atKilauea Volcano, Hawaii

机译:使用遥感热红外多光谱数据和热模型估算夏威夷基洛埃阿火山的熔岩管顶板厚度

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Thermal Infrared Multispectral Scanner (TIMS) data are processed to yield surface temperatures over the lava tube system of Kilauea Volcano, Hawaii. TIMS is a 6-band airborne longwave infrared (8 μm to 12 μm) multispectral imaging system built and operated by the National Aeronautics and Space Administration (NASA). The data analyzed were collected in 1988 and are part of the Compiled Volcanology Data Set collection of Glaze et al., (1992). The primary goal of the analyses is to utilize the TIMS-derived surface temperatures to estimate lava tube roof thickness (LTRT). There is a paucity of studies that have utilized remotely-sensed imaging spectrometry data to estimate LTRT-a component important to understanding (and modeling) the thermal field of lava tube systems. Lava tube systems, in turn, are important to the emplacement of areally extensive lava flows on earth and on other planets. An in-scene atmospheric compensation method was applied to the data followed by a normalized emissivity method temperature/emissivity separation algorithm to obtain surface temperature. Surface temperature measurements are then compared to modeled temperatures in order to estimate lava tube roof thickness. Modeled temperatures are calculated via finite element analysis. Boundary conditions of the finite element models are derived from analyses of the TIMS data, independent knowledge of lava liquidus and solidus temperatures, and crustal heat-flow geophysical data. A TIMS plus modeling-derived LTRT agrees with estimates based on field observations. The TIMS data are described as are all processing and analysis methods. The thermal modeling is also described as is an effort to build a lookup table for LTRTs to be used in conjunction with surface temperature measurements. Archived data such as those exploited here provide a historical context particularly for terranes which may undergo relatively rapid change-such as the lava flow fields of Kilauea Volcano.
机译:处理热红外多光谱扫描仪(TIMS)数据,以产生夏威夷基拉韦厄火山熔岩管系统上的地表温度。 TIMS是由美国航空航天局(NASA)建造和运营的6波段机载长波红外(8μm至12μm)多光谱成像系统。分析的数据收集于1988年,属于Glaze等人(1992)的《火山学数据集》的一部分。分析的主要目的是利用TIMS得出的表面温度估算熔岩管顶板厚度(LTRT)。很少有研究利用遥感成像光谱数据估算LTRT,这对理解(和建模)熔岩管系统的热场很重要。反过来,熔岩管系统对于在地球和其他行星上放置面积较大的熔岩流至关重要。将场景内大气补偿方法应用于数据,然后使用归一化发射率方法温度/发射率分离算法获得表面温度。然后将表面温度测量值与模拟温度进行比较,以估算熔岩管屋顶厚度。建模温度通过有限元分析计算。有限元模型的边界条件来自于TIMS数据的分析,熔岩液相线和固相线温度的独立知识以及地壳热流地球物理数据。 TIMS加建模得出的LTRT与基于实地观测的估计值一致。与所有处理和分析方法一样,描述了TIMS数据。还描述了热建模,这是为建立与表面温度测量结合使用的LTRT查找表所做的努力。诸如此处所利用的那些归档数据提供了历史背景,尤其是对于可能经历相对快速变化的地貌,例如基拉韦厄火山的熔岩流场。

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