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A comparison of validation and vicarious calibration of high and medium resolution satellite-borne sensors using RadCalNet

机译:使用RadCalNet对高中分辨率卫星传感器的验证和替代校准的比较

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The Radiometric Calibration Network (RadCalNet) routinely provides top-of-atmosphere (TOA) reflectance data from instrumented ground sites. The data represents the nadir view of the ground for different sites that cover areas ranging from 50 m × 50 m to 1 km × 1 km. The smaller sites can only be used with high resolution sensors (≤ 30 m), but the larger sites, such as Railroad Valley (RRV) in Nevada can also be used for the validation or vicarious calibration of medium resolution sensors (> 250 m spatial resolution). Prior to utilising RadCalNet data in this manner, this paper describes the application of a high and a medium resolution sensor to assess potential biases between the RadCalNet data and satellite data at two different spatial resolutions. Results are shown for initial comparisons over RRV for the high resolution Sentinel-2 MultiSpectral Instrument (S2-MSI) and the medium resolution Sentinel-3 Ocean and Land Colour Instrument (S3-OLCI), and indicate the potential for RadCalNet to validate and vicariously calibrate sensors with differing spatial resolutions. The comparison analysis includes taking into account the temporal differences between the Sentinel-2 and Sentinel-3 overpasses and the time of RadCalNet data collection, as well as the spectral response functions (SRF) of the bands for both instruments. The comparison against the RRV site has shown there are significant biases between the RadCalNet data and S2-MSI and S3-OLCI for non-nadir viewing geometries that may be due to directional viewing and illumination effects and the non-Lambertian character of the RadCalNet RRV site.
机译:辐射校准网络(RadCalNet)定期提供来自仪器地面站点的最高大气(TOA)反射率数据。数据代表不同站点的地面最低点,覆盖范围从50 m×50 m到1 km×1 km。较小的站点只能与高分辨率传感器(≤30 m)一起使用,但是较大的站点(例如内华达州的铁路谷(RRV))也可以用于中分辨率传感器(大于250 m空间)的验证或替代性校准。解析度)。在以这种方式利用RadCalNet数据之前,本文介绍了高分辨率和中分辨率传感器在两个不同空间分辨率下评估RadCalNet数据和卫星数据之间潜在偏差的应用。显示的结果是通过高分辨率Rentinel-2多光谱仪(S2-MSI)和中分辨率Sentinel-3海洋和陆地颜色仪(S3-OLCI)进行RRV的初步比较的结果,表明RadCalNet可以有效地进行验证和替代校准具有不同空间分辨率的传感器。比较分析包括考虑Sentinel-2和Sentinel-3立交桥之间的时间差异以及RadCalNet数据收集的时间,以及两种仪器的频段的光谱响应函数(SRF)。与RRV站点的比较表明,对于非天底观看几何图形,RadCalNet数据与S2-MSI和S3-OLCI之间存在显着偏差,这可能是由于定向观看和照明效果以及RadCalNet RRV的非朗伯特性造成的现场。

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