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Calibration of AVHRR sensors using the reflectance-based method

机译:使用基于反射率的方法校准AVHRR传感器

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The Remote Sensing Group at the University of Arizona has been active in the vicarious calibration of numerous sensors through the use of ground-based test sites. Recent efforts have included work to develop cross-calibration information between these sensors using the results from the reflectance-based approach. The current work extends the cross-calibration to the AVHRR series of sensors, specifically NOAA-17, and NOAA-18. The results include work done based on data collected by ground-based personnel nearly coincident with the sensor overpasses. The available number of calibrations for the AVHRR series is increased through a set of ground-based radiometers that are deployed without the need for on-site personnel and have been operating for more than three years at Railroad Valley Playa. The spectral, spatial, and temporal characteristics of the 1-km~2 large-footprint site at Railroad Valley are well understood. It is therefore well suited for the radiometric calibration of AVHRR, which has a nadir-viewing footprint of 1.1 x 1.1 km. The at-sensor radiance is predicted via a radiative transfer code using atmospheric data from a fully-automated solar radiometer. The results for AVHRR show that errors are currently larger for the automated data sets, but results indicate that the AVHRR sensors studied in this work are consistent with the Aqua and Terra MODIS sensors to within the uncertainties of each sensor.
机译:亚利桑那大学的遥感小组通过使用基于地面的测试站点,积极地对各种传感器进行了替代性校准。最近的努力包括使用基于反射率的方法的结果来开发这些传感器之间的交叉校准信息的工作。当前的工作将交叉校准扩展到AVHRR系列传感器,特别是NOAA-17和NOAA-18。结果包括根据地面人员收集的数据完成的工作,这些数据几乎与传感器立交桥重合。通过一套无需安装人员就可以部署的地面辐射计,增加了AVHRR系列校准的可用数量,这些辐射计已经在Rail Valley Valley Playa运行了三年多。众所周知,铁路山谷1 km〜2大面积站点的光谱,空间和时间特征。因此,它非常适合AVHRR的辐射定标,其最低视场足迹为1.1 x 1.1 km。使用来自全自动太阳辐射计的大气数据,通过辐射转移码预测传感器处的辐射度。 AVHRR的结果表明,当前自动化数据集的误差更大,但是结果表明,在这项工作中研究的AVHRR传感器与Aqua和Terra MODIS传感器一致,并且都在每个传感器的不确定性范围内。

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