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The Importance of Accounting for Atmospheric Effects in the Application of NDVI and Interpretation of Satellite Imagery Supporting Archaeological Research: The Case Studies of Palaepaphos and Nea Paphos Sites in Cyprus

机译:在NDVI的应用中考虑大气影响的重要性以及支持考古研究的卫星图像的解释:塞浦路斯Palaepaphos和Nea Paphos遗址的案例研究

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This paper presents the findings of the impact of atmospheric effects when applied on satellite images intended for supporting archaeological research. The study used eleven multispectral Landsat TM/ETM+ images from 2009 until 2010, acquired over archaeological and agricultural areas. The modified Darkest Pixel (DP) atmospheric correction algorithm was applied, as it is considered one of the most simple and effective atmospheric corrections algorithm. The NDVI equation was applied and its values were evaluated before and after the application of atmospheric correction to satellite images, to estimate its possible effects. The results highlighted that atmospheric correction has a significant impact on the NDVI values. This was especially true in seasons where the vegetation has grown. Although the absolute impact on NDVI, after applying the DP, was small (0.06), it was considered important if multi-temporal time series images need to be evaluated and cross-compared. The NDVI differences, before and after atmospheric correction, were assessed using student’s t-test and the statistical differences were found to be significant. It was shown that relative NDVI difference can be as much as 50%, if atmosphere effects are ignored. Finally, the results had proven that atmospheric corrections can enhance the interpretation of satellite images (especially in cases where optical thickness of water vapour is minimized ≈ 0). This fact can assist in the detection and identification of archaeological crop marks. Therefore, removal of atmospheric effects, for archaeological purposes, was found to be of great importance in improving the image enhancement and NDVI values.
机译:本文介绍了将大气效应应用于旨在支持考古研究的卫星图像时的影响发现。该研究使用了从2009年到2010年的11幅多光谱Landsat TM / ETM +图像,这些图像是在考古和农业地区采集的。应用了改良的最暗像素(DP)大气校正算法,因为它被认为是最简单有效的大气校正算法之一。应用NDVI方程,并在将大气校正应用于卫星图像之前和之后评估其值,以估计其可能的影响。结果表明,大气校正对NDVI值有很大影响。在植被生长的季节尤其如此。尽管在应用DP后对NDVI的绝对影响很小(0.06),但如果需要评估和交叉比较多时间时间序列图像,则认为很重要。使用学生的t检验评估了大气校正前后的NDVI差异,并且发现统计差异显着。结果表明,如果忽略大气影响,相对NDVI差异可能高达50%。最后,结果证明,大气校正可以增强对卫星图像的解释(尤其是在水蒸气的光学厚度最小化为≈0的情况下)。这个事实可以帮助检测和识别考古作物标记。因此,发现出于考古目的去除大气影响对于改善图像增强和NDVI值非常重要。

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