The use of MODIS-simulated spectral bands for monitoring plant water stress as an help for dynamic fire risk assessment

机译：利用MODIS模拟的光谱带监测植物水分胁迫，以帮助动态评估火灾风险

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Forest fires are one of the major environmental issues in large areas of Southern Italy, and more generally in Mediterranean Europe. Biomass burning reduces carbon fixation in terrestrial vegetation, while risk of soil erosion increases in burned areas. The premier action against fires is prevention, and in this context fire risk mapping is an invaluable tool. Various factors, either static or dynamic, contribute to the definition of fire risk. Among them, vegetation moisture plays a key role, since forests susceptibility to fire increases with increasing plant water stress and biomass dryness. A tool is needed to allow a timely detection of such forest conditions, and space-borne and airborne remote sensing can be very effective to this end. Many authors have demonstrated the role of remote sensing in the assessment of vegetation moisture. Various multi-spectral systems have been reported to be useful, such as Landsat TM, SPOT or NOAA AVHRR. We have recently started a research to evaluate fire risk in the rural environment of Southern Italy using the Moderate Resolution Imaging Spectrometer (MODIS), carried on board of EOS Terra and Aqua satellites. The MODIS systems have 20 spectral wavebands covering the visible, the near infrared and the shortwave infrared with a spectral resolution of 10-50 nm. This paper describes the results of a preliminary experiment to identify the most useful bands or band combinations (spectral indexes) for the detection of biological indicators of plant water stress. PROSPECT radiative transfer code has been adopted to simulate leaf reflectance as a function of leaf properties. Results highlighted the potential of single and combined simulated MODIS bands in the retrieval of vegetation moisture indicators related to fire risk.

机译：森林火灾是意大利南部大部分地区（主要是地中海欧洲）的主要环境问题之一。生物质燃烧减少了陆地植被中的碳固定，而被烧毁地区的土壤侵蚀风险增加。预防火灾的首要行动是预防，在这种情况下，火灾风险绘图是非常宝贵的工具。各种因素（无论是静态还是动态的）都有助于火灾风险的定义。其中，植被水分起着关键作用，因为森林对火的敏感性随着植物水分胁迫和生物量干燥的增加而增加。需要一种工具来及时发现这种森林状况，为此目的，星空和机载遥感非常有效。许多作者已经证明了遥感在评估植被湿度中的作用。据报道，各种多光谱系统都是有用的，例如Landsat TM，SPOT或NOAA AVHRR。我们最近开始了一项研究，目的是使用EOS Terra和Aqua卫星上搭载的中分辨率成像光谱仪（MODIS）来评估意大利南部乡村环境中的火灾风险。 MODIS系统具有20个光谱波段，覆盖可见，近红外和短波红外，光谱分辨率为10-50 nm。本文介绍了初步实验的结果，以确定用于检测植物水分胁迫生物学指标的最有用的谱带或谱带组合（光谱指数）。已采用PROSPECT辐射传递码来模拟叶片反射率与叶片特性的关系。结果突出了单个和组合模拟的MODIS波段在检索与火灾风险有关的植被湿度指标中的潜力。

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《Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII》|2006年|P.63590Q.1-63590Q.10|共10页
会议地点 Stockholm(SE)
作者
Carmine Maffei; Antonio P. Leone; Mauro Vella; Giuseppe Meoli; Massimo Menenti;
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作者单位

Mediterranean Agency for Remote Sensing Environmental Control (MARSec), Benevento, Italy;

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原文格式 PDF
正文语种 eng
中图分类环境遥感;
关键词
fire risk; equivalent water thickness; fuel moisture content; PROSPECT; MODIS;

机译：火灾危险;当量水厚度;燃油水分;预期; MODIS;

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机译：评估燃煤电厂的汞排放和健康风险

The use of MODIS-simulated spectral bands for monitoring plant water stress as an help for dynamic fire risk assessment

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