论文标题
SMAP辐射仪和ECES的植被损失系数和冠层穿透深度的估计
Estimation of vegetation loss coefficients and canopy penetration depths from SMAP radiometer and IceSAT lidar data
论文作者
论文摘要
在这项研究中，$τ$ - $ω$型号的框架用于从SMAP植被光学深度，单个散射反照率和eices At lidar植被高度来得出植被损失系数和冠层穿透深度。植被损失系数是全球指标，表明吸收和散射过程如何减轻L波段微波辐射。通过颠倒植被损失系数，可以获得针对全球森林储层显示的冠层的穿透深度。组合植被高度和穿透深度估计值的简单穿透指数。该指数的分布和水平表明，对于密集的森林区域，土壤信号大大减弱，这可能会影响土壤水分检索的准确性。
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 that is 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 the soil signal is attenuated considerably, which can affect the accuracy of soil moisture retrievals.
