利用时间序列水瓶座中束数据估计水云参数

Chenzhou Liu, Jiancheng Shi
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引用次数: 2

摘要

利用时间序列Aquarius中波束散射仪观测资料,估算了水云模式的植被参数C和D。植被后向散射采用两种模型:Oh模型用于描述裸露土壤表面的散射,而水云模型用于考虑植被冠层的影响。通过最小化Aquarius散射计观测值与水云模式模拟的后向散射系数之间的偏差来估计植被参数。检索到的植被参数是特定于植被的,假设每种植被类型的参数都是恒定的。利用反演参数对散射计观测数据进行模拟,发现大部分地区的模拟误差(RMSE)小于3 dB。研究表明,在植被参数设置适当的情况下,水云模式可以应用于全球散射计观测。
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Estimation of water cloud parameters using time series aquarius middle beam data
Using time series Aquarius middle beam scatterometer observations, the two vegetation parameters C and D in water cloud model were estimated. Vegetation backscatter was derived using two models: Oh model was used to describe the scattering from bare soil surface, while water cloud model was implemented to account for the effect of vegetation canopy. The vegetation parameters were estimated by minimizing the deviations between the Aquarius scatterometer observations and backscatter coefficients simulated by the water cloud model. The retrieved vegetation parameters are vegetation-specific, which are assumed constant for each vegetation types. By using the retrieved parameters to simulate the scatterometer observations, it was found that the error of the simulation (RMSE) was less than 3 dB in most areas. This research demonstrated that the water cloud model could be applied to global scatterometer observations if the vegetation parameters are appropriately set.
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