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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Rayleigh, Deep Convective Clouds, and Cross-Sensor Desert Vicarious Calibration Validation for the PROBA-V Mission
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Rayleigh, Deep Convective Clouds, and Cross-Sensor Desert Vicarious Calibration Validation for the PROBA-V Mission

机译:PROBA-V任务的瑞利,深对流云和跨传感器沙漠替代模型校准验证

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摘要

PROBA-V is a remote sensing satellite mission for global monitoring of vegetation. It is designed to offer almost daily coverage of all land masses and to provide data continuity with the VGT2 instrument aboard SPOT-5. Accurate radiometric calibration is key to the success of the mission; therefore, a comprehensive system for in-flight radiometric calibration has been developed. Without no onboard calibration devices, this in-flight calibration will rely fully on vicarious methods. In total nine techniques for vicarious calibration have been implemented and tested in order to meet the radiometric mission requirements. Three key methods that contribute largely to the calibration performance are presented in this paper: Rayleigh, deep convective clouds, and cross-sensor calibration over stable desert sites. As the PROBA-V sensor has still to be launched, calibration algorithm verification is performed using data from the spectrally very similar SPOT-VGT1 and SPOT-VGT2 sensors.
机译:PROBA-V是一项遥感卫星任务,用于全球植被监测。它旨在提供几乎所有土地的每日覆盖,并通过SPOT-5上的VGT2仪器提供数据连续性。准确的辐射校准是任务成功的关键。因此,已经开发了一种用于飞行中辐射定标的综合系统。没有机载校准设备,这种飞行中校准将完全依靠替代方法。为了满足辐射任务的要求,总共实施和测试了9种替代校准技术。本文提出了三种对标定性能有重大贡献的关键方法:瑞利,深对流云和稳定沙漠地区的跨传感器标定。由于仍要启动PROBA-V传感器,因此使用光谱非常相似的SPOT-VGT1和SPOT-VGT2传感器的数据执行校准算法验证。

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