An automatic method for the calibration of time-series of Meteosat images
An automatic method for the calibration of time-series of Meteosat images
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DOI：
10.1080/014311600210416
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发表时间：
2000-01
影响因子：
3.4
通讯作者：
M. Lefèvre;Olivier Bauer;Axel Iehlé;L. Wald
中科院分区：
文献类型：
--
作者：
M. Lefèvre;Olivier Bauer;Axel Iehlé;L. Wald
本文介绍了自1985年以来连续运行的气象卫星传感器在可见光范围内的自动定标方法。作为一个起点，只需要对整个时间序列中的一幅图像进行绝对替代校准，这是以前已发表的作品可以提供的。这种自动方法每天执行，并基于对两张图像的统计分析，一张是太阳照亮气象卫星的整个视野时，另一张是在夜间。这种方法不需要任何关于大气和表面参数的信息，因此可以很容易地对存档的数据执行，或者在接收图像时准实时执行。我们的结果与之前的研究完全一致。为了验证该方法的有效性，并检验其稳健性和可靠性，已进行了多次测试。
A method is described for the automatic calibration of the successive operational Meteosat sensors in the visible range since 1985. As a starting point, the absolute vicarious calibration for only one image in the whole time-series is needed, which can be provided by previous published works. The automatic method performs on a daily basis and is based on a statistical analysis of two images, one when the Sun illuminates the entire field of view of Meteosat, the other during night-time. This approach does not require any information about atmospheric and surface parameters, and therefore can be easily performed either on archived data, or in quasi-real time when receiving the images. Our results are fully consistent with previous studies. Several tests have been performed to validate the method and check its robustness and reliability.