利用smap辐射计和ICESat激光雷达数据估算植被损失系数和冠层穿透深度

M. Baur, T. Jagdhuber, M. Link, M. Piles, D. Entekhabi, A. Fink
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引用次数: 2

摘要

在本研究中,利用τ - ω模型的框架,从SMAP的植被光学深度、单次散射反照率和ICESat激光雷达植被高度的多时间反演中得到植被损失系数和冠层穿透深度。植被损失系数是反映强吸收和散射过程对l波段微波辐射衰减程度的全球性指标。通过对植被损失系数的反演,可以得到全球森林库的林冠渗透深度。结合植被高度和穿透深度估算,形成一个简单的穿透指数。该指数的分布和水平表明,在热带茂密的森林地区,土壤信号衰减很大,在土壤水分检索算法中必须仔细考虑这种衰减。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of vegetation loss coefficients and canopy penetration depths from smap radiometer and ICESat lidar data
In this study the framework of the τ — ω model is used to derive vegetation loss coefficients and canopy penetration depths from SMAP multi-temporal retrievals of vegetation optical depth, single scattering albedo and ICESat lidar vegetation heights. The vegetation loss coefficients serve as a global indicator of how strong absorption and scattering processes attenuate L-band microwave radiation. By inverting the vegetation loss coefficients, penetration depths into the canopy can be obtained, which are displayed for the global forest reservoirs. A simple penetration index is formed combining vegetation heights and penetration depth estimates. The distribution and level of this index reveal that for densely forested areas in the tropics the soil signal is attenuated considerably, and this attenuation must be carefully accounted for in soil moisture retrieval algorithms.
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