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Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework

机译:开发雪核,以更好地模型在内核驱动的BRDF模型框架中纯雪的各向异性反射

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The linear kernel-driven RossThick-LiSparseReciprocal (RTLSR) bidirectional reflectance distribution function (BRDF) model was originally developed from the simplified scenarios of continuous and discrete vegetation canopies, and has been widely used to fit multiangle observations of vegetation-soil systems of the land surface in many fields. Although this model was not developed explicitly for snow surfaces, it can capture the geometric-optical effect caused by the shadowing of rugged or undulating snow surfaces. However, in this study, this model has been further developed to better characterize the scattering properties of snow surface, which can also exhibit strongly forward-scattering behavior. This study proposes a new snow kernel to characterize the reflectance anisotropy of pure snow based on the asymptotic radiative transfer (ART) model that assumes snow can be modeled as a semi-infinite, plane-parallel, weakly absorbing light scattering layer. This new snow kernel adopts a correction term with a free parameter a to correct the analytic form of the ART model that has been reported to underestimate observed snow reflectance in the forward scattering direction in the principal plane (PP), particularly in cases of a large viewing zenith angle ( 60 degrees). This snow kernel has now been implemented in the kernel-driven RTLSR BRDF model framework in conjunction with two additional kernels (i.e., the volumetric scattering kernel and geometric-optical scattering kernel) and is validated using observed and simulated multiangle data from three data sources. Pure snow targets were selected from the extensive archive of the Polarization and Directionality of the Earth's Reflectance (POLDER) BRDF data. Antarctic snow field measurements, which were taken from the top of a 32-m-tall tower at Dome C Station and include 6336 spectral bidirectional reflectance factors (BRFs), were also utilized. Finally, a set of simulated BRFs, generated by a hybrid scattering snow mo
机译:线性内核驱动的ROSSTHICK-LisparsereCiprocal(RTLSR)双向反射分布函数(BRDF)模型最初是从连续和离散植被Canopies的简化方案开发的,并且已被广泛用于适应土地植被 - 土壤系统的多聚观察在许多领域的表面。虽然该模型未明确开发用于雪表面,但它可以捕获由坚固或波状雪表面的阴影引起的几何光学效应。然而,在本研究中,进一步开发了该模型以更好地表征雪面的散射特性,这也可以表现出强烈的前向散射行为。本研究提出了一种新的雪核,以基于呈现雪的渐近辐射转移(ART)模型来表征纯雪的反射率各向异性,该模型可以被建模为半无限,平面平行,弱吸收光散射层。这种新的雪核采用校正项,采用自由参数A来纠正据报道的艺术模型的分析形式,这些模型在主机(PP)中低估了在前向散射方向上的观察到的雪反射率,特别是在大型情况下观看天顶角(& 60度)。该雪内核现已在内核驱动的RTLSR BRDF模型框架中实现,与两个附加内核(即,体积散射内核和几何光散射内核)一起实现,并使用来自三个数据源的观察和模拟多端标数据进行验证。纯雪目标选自地球反射率(Bolder)BRDF数据的极化和方向性的广泛档案。南极雪地场测量,从圆顶C站的32米高塔顶部取出,包括6336个光谱双向反射率因子(BRFS)。最后,一组模拟的BRFS,由混合散射雪MO产生

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