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首页> 外文会议>Fifth international workshop on the analysis of multi-temporal remote sensing images >A ROBUST SATELLITE DATA ANALYSIS TECHNIQUE (RST) FOR SAHARAN DUST DETECTION AND MONITORING
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A ROBUST SATELLITE DATA ANALYSIS TECHNIQUE (RST) FOR SAHARAN DUST DETECTION AND MONITORING

机译：用于撒哈拉粉尘监测的鲁棒卫星数据分析技术（RST）

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摘要

A general satellite data analysis approach named RST (Robust Satellite Technique) has been successfully applied to monitor many natural and environmental risks. In this paper it is applied for the first time to Saharan dust detection by using optical satellite data collected in the visible (VIS) and thermal infrared (TIR) portion of the e.m. spectrum. The problem of identifying Saharan dust clouds, distinguishing them from small, low or thin, meteorological clouds is faced by combining spatial and spectral signatures in the visible and thermal infrared AVHRR remotely sensed radiances. Long term satellite records collected in similar (same time of the day, same month of the year) observational conditions have been used in order to characterize the desert background in terms of expected signal behaviour in the VIS (for spatial texture analyses) and TIR (for signal intensity analyses) spectral ranges in absence of dust clouds. Preliminary results achieved in the case of a dust-storms that hit North Africa on May 1997 suggest that the proposed technique, combining spatial and spectral signatures within the framework of the more general RST approach, could actually allow to distinguish between small, low or thin, meteorological clouds and dust clouds even over very variable surface backgrounds.
机译：一种称为RST（鲁棒卫星技术）的通用卫星数据分析方法已成功应用于监视许多自然和环境风险。在本文中，它是通过使用在可见光的可见（VIS）和热红外（TIR）部分中收集的光学卫星数据首次应用于撒哈拉尘埃探测。光谱。通过将可见光和热红外AVHRR遥感辐射中的空间和光谱特征结合起来，面临着识别撒哈拉尘埃云，将其与小，低或薄的气象云区分开的问题。为了在VIS（用于空间纹理分析）和TIR（在预期的信号行为方面）表征沙漠背景，已经使用了在类似（一天中的同一时间，一年中的同一个月）的观测条件下收集的长期卫星记录。用于信号强度分析）在没有尘埃云的情况下的光谱范围。在1997年5月袭击北非的沙尘暴中获得的初步结果表明，所提出的技术在更通用的RST方法框架内结合了空间和光谱特征，实际上可以区分小，低或薄，气象云和尘埃云，甚至在非常变化的地表背景上。

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  • 来源
  • 会议地点 Groton CT(US);Groton CT(US)
  • 作者

    Tramutoli V.; rnFilizzola C.; rnPaciello R.; rnPergola N.; rnPietrapertosa C.;

  • 作者单位

    Department of Engineering and Physics of the Environment (DIFA), University of Basilicata - Via dell'Ateneo Lucano, 10-85100 Potenza, Italy Institute of Methodologies for Environmental Analysis (IMAA), National Research Council - C.da S. Loja - 85050 Tito Scalo, Italy;

    rnInstitute of Methodologies for Environmental Analysis (IMAA), National Research Council - C.da S. Loja - 85050 Tito Scalo, Italy;

    rnDepartment of Engineering and Physics of the Environment (DIFA), University of Basilicata - Via dell'Ateneo Lucano, 10-85100 Potenza, Italy Institute of Methodologies for Environmental Analysis (IMAA), National Research Council - C.da S. Loja - 85050 Tito Scalo, Italy;

    rnInstitute of Methodologies for Environmental Analysis (IMAA), National Research Council - C.da S. Loja - 85050 Tito Scalo, Ital;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理（信息加工）;遥感技术;
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