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Sentinel-2A MSI and Landsat-8 OLI radiometric cross comparison over desert sites

机译:Sentinel-2A MSI和Landsat-8 Oli辐射算法在沙漠场地

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摘要

The Sentinel-2A and Landsat-8 satellites carry on-board moderate resolution multispectral imagers for the purpose of documenting the Earth’s changing surface. Though they are independently built and managed, users will certainly take advantage of the opportunity to have higher temporal coverage by combining the datasets. Thus it is important for the radiometric and geometric calibration of the MultiSpectral Instrument (MSI) and the Operational Land Imager (OLI) to be compatible. Cross-calibration of MSI to OLI has been accomplished using multiple techniques involving the use of pseudo-invariant calibration sites (PICS) using direct comparisons as well as through use of PICS models predicting top-of-atmosphere reflectance. A team from the University of Arizona is acquiring field data under both instruments for vicarious calibration of the sensors. This paper shows that the work done to date by the Landsat and Sentinel-2 calibration teams has resulted in stable radiometric calibration for each instrument and consistency to ~2.5% between the instruments for all the spectral bands that the instruments have in common.
机译:Sentinel-2a和Landsat-8卫星携带车载中频分辨率多光谱成像器,以便记录地球的变化表面。虽然它们被独立构建和管理,但用户肯定会利用通过组合数据集来拥有更高的时间覆盖率的机会。因此,对于多光谱仪器(MSI)和操作陆地成像器(OLI)的辐射和几何校准非常重要。使用涉及使用直接比较的多种技术来实现MSI对OLI的交叉校准,以及使用直接比较以及使用预测大气层反射率的照片模型以及使用PICS模型。来自亚利桑那大学的一支球队正在为传感器的替代校准来获取现场数据。本文展示了迄今为止由Landinel和Sentinel-2校准团队所做的工作导致每种仪器的稳定辐射校准,并且仪器在仪器具有共同的所有光谱带之间的仪器之间的一致性至约2.5%。

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