Lava flow thermal analysis using three infrared bands of remote-sensing imagery: A study case from Mount Etna 2001 eruption

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• 作者：V. Lombardo and M.F. Buongiorno
• 关键词：Mount Etna ; Dual-band ; Lava-flow ; Thermal source ; Heat flux
• 刊名：Remote Sensing of Environment
• 出版年：2006
• 期刊代码：79_00344257
• 类别：ear
• 出版时间：30 March 2006
• 卷：101
• 期：2
• 页码：141-149
• 文件大小：458 K

摘要

Infrared remotely sensed data can be used to estimate heat flux and thermal features of active volcanoes. The model proposed by Crisp and Baloga [Crisp, J., Baloga, S., 1990. A model for lava flows with two thermal components, Journal of Geophysical Research, 95, 1255–1270.] for active lava flows considers the thermal flux a function of the fractional area of two thermally distinct radiant surfaces. The larger surface area corresponds to the cooler crust of the flow, the smaller one to fractures in the crust. In this model, the crust temperature T_c, the temperature of the cracks T_h, and the fractional area of the hottest component f_h represent the three unknowns to work out. The simultaneous solution of the Planck equation (“dual-band” technique) for two distinct shortwave infrared (SWIR) bands allows to estimate any two of the parameters T_c, T_h, f_h, if the third is assumed [Dozier, J., 1981. A method for satellite identification of surface temperature fields of subpixel resolution. Remote Sensing Environment, 11, 221–229.]

The airborne sensor MIVIS was flown on Mount Etna during the July–August 2001 eruption. This hyperspectral imaging spectrometer offers 72 bands in the SWIR range and 10 bands in thermal infrared (TIR) region of the spectrum, which can be used to solve the dual-band system without any assumptions. Therefore, we can combine three spectral MIVIS bands to obtain simultaneous solutions for the three unknowns. Here, the procedure for solving such a system is presented. It is then demonstrated that a TIR channel is required to better pinpoint solutions to the 2-components model.

Finally, the spatial and statistical characteristic of the resultant MIVIS-derived temperature and flux distributions are introduced and statistics for each hot spot investigated.