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Cross-calibration of satellite sensors over snow fields

机译:雪场上卫星传感器的交叉校准

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摘要

Besides pre-launch and on-board calibration, the method of vicariously calibrating space sensors became a reliable tool for space sensor calibration. One possibility of vicarious calibration is to inter-calibrate sensors aboard different satellite platforms directly. This leads to a better understanding of differences in global data sets produced these sensors. Recently, ADEOS-2 was launched (14 Dec 2002) successfully and the optical sensor GLI onboard the ADEOS-2 satellite became operational from April 2003. In a first calibration check-up, the radiometric performance of GLI was compared relatively to that of other sensors on different satellites with different calibration backgrounds. As calibration site a large snowfield near Barrow (Alaska, USA) was used, where space sensors in polar orbits view the same ground target on the same day with small differences in the local crossing times. This is why GLI, MODIS (terra, aqua), SeaWiFS, AHVRR (N16, N17) and MERIS data sets were selected for the following clear-sky condition days: April 14th and 26th 2003. At the same time ground-truth experiments, e.g., measurements of ground reflectance, BRDF, aerosol optical thickness (AOT), were carried out. Thereinafter, top-of- atmosphere (TOA) radiance/reflectance was forward calculated by means of radiative transfer code (RTC) for each sensor, each band and each day. Finally, the vicariously retrieved TOA reflectance was compared to TOA sensor L1B data. As a result GLI's performance is encouraging at this early time of the mission. GLI and the other 6 sensors deliver similar sensor output in the range of about 5-7 % around the expected vicariously calculated TOA signal.
机译:除了预启动和机载校准外,替代​​性地校准空间传感器的方法已成为用于空间传感器校准的可靠工具。替代校准的一种可能性是直接在不同卫星平台上对传感器进行内部校准。这样可以更好地了解产生这些传感器的全局数据集的差异。最近,ADEOS-2成功发射(2002年12月14日),并且ADEOS-2卫星上的光学传感器GLI从2003年4月开始运行。在第一次校准检查中,将GLI的辐射性能与其他辐射性能进行了比较。具有不同校准背景的不同卫星上的传感器。作为校准地点,使用了巴罗(美国阿拉斯加)附近的一个大雪场,极地轨道上的空间传感器可以在同一天查看同一地面目标,而当地的穿越时间差异很小。这就是为什么在以下晴天情况下(2003年4月14日至26日)选择了GLI,MODIS(terra,aqua),SeaWiFS,AHVRR(N16,N17)和MERIS数据集的原因。例如,对地面反射率,BRDF,气溶胶光学厚度(AOT)进行了测量。此后,借助于每个传感器,每个频段和每一天的辐射转移码(RTC),向前计算了大气层(TOA)辐射/反射率。最后,将替代获得的TOA反射率与TOA传感器L1B数据进行比较。因此,在这次任务的早期,GLI的表现令人鼓舞。 GLI和其他6个传感器在替代计算得出的TOA信号周围,在大约5-7%的范围内提供了相似的传感器输出。

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