Remote sensing and avian influenza: A review of image processing methods for extracting key variables affecting avian influenza virus survival in water from Earth Observation satellites
Remote sensing and avian influenza: A review of image processing methods for extracting key variables affecting avian influenza virus survival in water from Earth Observation satellites
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DOI：
10.1016/j.jag.2009.09.014
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发表时间：
2010-02
期刊：
影响因子：
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通讯作者：
A. Tran;F. Goutard;Lise Chamaillé;N. Baghdadi;D. L. Seen
中科院分区：
文献类型：
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作者：
A. Tran;F. Goutard;Lise Chamaillé;N. Baghdadi;D. L. Seen
最近的研究强调了水在禽流感（AI）病毒传播中的潜在作用，以及决定这些病毒在水中存活率的经常相互作用的变量的存在；两个主要变量是温度和盐度。几十年来，遥感一直被用来绘制和监测水体。在本文中，我们回顾了用于水检测和表征的卫星图像分析方法，重点关注影响人工智能病毒在水中生存的主要变量。光学和雷达图像可用于检测不同空间和时间尺度的水体。还可以使用监测大水面温度的方法。目前用于估计其他相关水变量（例如盐度、pH 值、浊度和水深）的方法目前被认为并不有效。
Recent studies have highlighted the potential role of water in the transmission of avian influenza (AI) viruses and the existence of often interacting variables that determine the survival rate of these viruses in water; the two main variables are temperature and salinity. Remote sensing has been used to map and monitor water bodies for several decades. In this paper, we review satellite image analysis methods used for water detection and characterization, focusing on the main variables that influence AI virus survival in water. Optical and radar imagery are useful for detecting water bodies at different spatial and temporal scales. Methods to monitor the temperature of large water surfaces are also available. Current methods for estimating other relevant water variables such as salinity, pH, turbidity and water depth are not presently considered to be effective.