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Testing the performance of the MND VI vegetation index

机译:测试MND VI植被指数的性能

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The Modified Normalizes Differences Vegetation Index is defined by: MNDVI = (c.NIR-Red)/(c.NIR+Red). c is a real number, which generally takes values between 0.1 and 10. NIR and Red are the reflectances at the Near Infrared and Red channels, respectively. In the present paper the performance of the MNDVI vegetation index is studied, using an ALOS image over a burnt forest area of Greece. For each produced MNDVI image, the statistical parameters of the histogram (standard deviation and entropy), the semivariogram and the frequency spectrum are calculated. It is observed that the entropy and standard deviation present a peak at a characteristic c value which depends on the statistical parameters of the NIR and Red channels. The semivariogram also changes with c and presents the most rapid increasing tendency with distance at the same characteristic c value. Therefore, changing c in the MNDVI produces images with different tonality contrasts and spatial variations, which may help the potential user to broaden the spectrum of the available vegetation index images and detect targets of interest.
机译:修改后的标准化差异植被指数定义为:MNDVI =(c.NIR-Red)/(c.NIR + Red)。 c是一个实数,通常取0.1到10之间的值。NIR和Red分别是在近红外和Red通道的反射率。在本文中,使用ALOS图像在希腊烧毁的森林地区研究了MNDVI植被指数的性能。对于每个产生的MNDVI图像,计算直方图(标准差和熵),半变异函数和频谱的统计参数。可以看到,熵和标准偏差在特征c值处出现一个峰值,该值取决于NIR和Red通道的统计参数。半变异函数也随c的变化而变化,并且在相同的特征c值下呈现出随距离增长最快的趋势。因此,改变MNDVI中的c会产生具有不同色调对比度和空间变化的图像,这可以帮助潜在用户扩大可用植被指数图像的光谱并检测感兴趣的目标。

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