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An Analytical Calibration Approach for the Polarimetric Airborne C Band Radiometer

机译:极化机载C波段辐射计的分析校准方法

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摘要

Passive microwave remote sensing is sensitive to the quantity and distribution of water in soil and vegetation. During summer 2000, the Microwave Geophysics Group a t the University of Michigan conducted the seventh Radiobrighness Energy Balance Experiment (REBEX-7) over a corn canopy in Michigan. Long time series of brightness temperatures, soil moisture and micrometeorology on the plot were taken. This paper addresses the calibration of the NASA GSFC polarimetric airborne C band microwave radiometer (ACMR) that participated in REBEX-7. These passive polarimeters are typically calibrated using an end-to-end approach based upon a standard artificial target or a well-known geophysical target. Analyzing the major internal functional subsystems offers a different perspective. The primary goal of this approach is to provide a transfer function that not only describes the system in its entire5 but also accounts for the contributions of each subsystem toward the final modified Stokes parameters. This approach does not assume that the radiometric system is linear as it does not take polarization isolation for granted, and it also serves as a realistic instrument simulator, a useful tool for future designs. The ACMR architecture can be partitioned into functional subsystems. The characteristics of each subsystem was extensively measured and the estimated parameters were imported into the overall dosed form system model. Inversion of the model yields a calibration for the modeled Stokes parameters with uncertainties of 0.2 K for the V and H polarizations and 2.4 K for the 3rd and 4th parameters. Application to the full Stokes parameters over a senescent cornfield is presented.
机译:被动微波遥感对土壤和植被中水的数量和分布很敏感。在2000年夏季,密歇根大学的微波地球物理学小组在密歇根州的一个玉米冠层上进行了第七次放射性能平衡实验(REBEX-7)。对该地块的亮度温度,土壤湿度和微气象进行了长时间序列分析。本文介绍了参与REBEX-7的NASA GSFC极化机载C波段微波辐射计(ACMR)的校准。这些无源旋光仪通常使用基于标准人工目标或众所周知的地球物理目标的端到端方法进行校准。分析主要的内部功能子系统提供了不同的观点。这种方法的主要目标是提供一个传递函数,该传递函数不仅描述整个系统5,而且考虑每个子系统对最终修改的斯托克斯参数的贡献。这种方法不假定辐射测量系统是线性的,因为它不需要考虑极化隔离,而且还可以用作现实的仪器模拟器,这是将来设计的有用工具。 ACMR体系结构可以划分为功能子系统。广泛测量了每个子系统的特性,并将估计的参数导入了整个剂量形式系统模型。对模型进行反演后,将对建模的斯托克斯参数进行校准,其中V和H极化的不确定度为0.2 K,第三和第四参数的不确定度为2.4K。介绍了在衰老的玉米田上完整斯托克斯参数的应用。

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    Kim, Edward J.; Pham, Hanh;

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  • 年度 2004
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