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Evaluation of TsHARP Utility for Thermal Sharpening of Sentinel-3 Satellite Images Using Sentinel-2 Visual Imagery

机译:使用Sentinel-2视觉图像对TsHARP实用程序对Sentinel-3卫星图像进行热锐化的评估

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A spatially distributed land surface temperature is important for many studies. The recent launch of the Sentinel satellite programs paves the way for an abundance of opportunities for both large area and long-term investigations. However, the spatial resolution of Sentinel-3 thermal images is not suitable for monitoring small fragmented fields. Thermal sharpening is one of the primary methods used to obtain thermal images at finer spatial resolution at a daily revisit time. In the current study, the utility of the TsHARP method to sharpen the low resolution of Sentinel-3 thermal data was examined using Sentinel-2 visible-near infrared imagery. Compared to Landsat 8 fine thermal images, the sharpening resulted in mean absolute errors of ~1 °C, with errors increasing as the difference between the native and the target resolutions increases. Part of the error is attributed to the discrepancy between the thermal images acquired by the two platforms. Further research is due to test additional sites and conditions, and potentially additional sharpening methods, applied to the Sentinel platforms.
机译:对于许多研究而言,空间分布的陆地表面温度很重要。 Sentinel卫星计划的最新启动为大范围和长期调查提供了大量机会。但是,Sentinel-3热图像的空间分辨率不适合监视较小的碎片场。热锐化是在每天重访时间以更精细的空间分辨率获取热图像的主要方法之一。在当前的研究中,使用Sentinel-2可见-近红外图像检查了TsHARP方法提高Sentinel-3热数据的低分辨率的实用性。与Landsat 8精细热图像相比,锐化导致平均绝对误差为〜1°C,并且误差随着原始分辨率和目标分辨率之间的差异的增加而增加。部分错误归因于两个平台获取的热图像之间的差异。进一步的研究是由于测试了应用于Sentinel平台的其他站点和条件以及潜在的其他锐化方法。

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