鲁棒卫星技术(RST)对火山灰羽流识别和跟踪的评价

F. Marchese, R. Corrado, N. Genzano, G. Mazzeo, R. Paciello, N. Pergola, V. Tramutoli
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引用次数: 14

摘要

火山灰对飞机和乘客都构成严重威胁,可能对飞行控制系统和喷气发动机造成严重损害。从2007年开始,IMAA(环境分析方法研究所)实施了一个自动卫星监测系统,利用NOAA-AVHRR数据识别和跟踪火山灰羽流。由于采用了一种名为RST(鲁棒卫星技术)的强大的多时相卫星数据分析方法,该系统能够在传感时间后几分钟内提供有关感兴趣区域(ROI)上可能存在的火山灰羽流的可靠信息。与传统技术相比,这种方法在成功识别和跟踪火山灰云方面已经显示出很高的潜力,无论是在标准(即双通道)还是先进(即三通道)配置方面。本文将进一步评估RST在灰羽探测和监测方面的性能,展示2006年12月获得的一些最新结果,并分析在不同观测条件下不同月份在埃特纳火山地区进行的卫星观测时间序列。为了验证和评估RST的性能,长期时域分析正在进行中,也在研究主要以静止阶段(即没有灰烬排放事件)为特征的时期。将介绍这种统计分析的初步结果,并将讨论这一卫星监测系统在支持管理强烈爆发危机方面可能作出的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Robust Satellite Technique (RST) for volcanic ash plume identification and tracking
Volcanic clouds pose a serious threat for both aircrafts and passengers because of ash, which may cause serious damages to the flight control systems and to jet engines. Starting from 2007, an automatic satellite monitoring system has been implemented at IMAA (Institute of Methodologies of Environmental Analysis) to identify and track volcanic ash plumes using NOAA-AVHRR data. This system is capable of providing reliable information about possible volcanic ash plumes over a region of interest (ROI) within a few minute after the sensing time, thanks to the implementation of a robust multi-temporal approach of satellite data analysis named RST (Robust Satellite Technique). This approach has already shown a high potential in successfully identifying and tracking volcanic ash clouds compared to traditional techniques, both in its standard (i.e. two-channel) and advanced (i.e. three-channel) configuration. In this paper, RST performances for ash plume detection and monitoring will be further assessed, showing some recent results obtained during December 2006 and analyzing a time series of satellite observations carried out over Mount Etna area for different months in different observational conditions. In order to validate and assess RST performances, a long-term time domain analysis is in progress, also investigating periods mainly characterised by quiescent phases (i.e. with no ash emission episodes). Preliminary results of such a statistical analysis will be presented and the possible contribution of this satellite monitoring system in supporting management of strong eruptive crisis will also be discussed.
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