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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >REMOTE SENSING OF AEROSOLS OVER BOREAL FOREST AND LAKE WATER FROM AVHRR DATA
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REMOTE SENSING OF AEROSOLS OVER BOREAL FOREST AND LAKE WATER FROM AVHRR DATA

机译:AVHRR数据对北方森林和湖水中气溶胶的遥感

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A complete set of advanced very high resolution radiometer (AVHRR) data and ground-based measurements of aerosol and water-vapor content are used to test an algorithm for the retrieval of aerosol properties over dense vegetation in the red and over lake water in both the red and the near-infrared AVHRR channels. With the assumptions of a weak and reasonably constant surface reflectance and an appropriate aerosol model in the radiative transfer code, the remaining variance in the satellite signal is interpreted in terms of aerosol optical thickness. From theoretical computations, it appears that the algorithm is particularly sensitive to the surface albedo and that an uncertainty of 0.01 in reflectance leads to an error of +/-0.1 in the retrieved optical thickness. This theoretical estimate is confirmed by data acquired over a boreal forest region in Canada and over one of the Great Lakes (Ontario). In particular, channel 1 observations over vegetation in the forward scattering direction are well suited for retrievals because vegetation pixels appear darker owing to shadowing effects. Conversely, the forward scattering geometry over lakes introduces large errors in both channels owing to specular reflections (glint effects). Even for observations well removed from the forward scattering principal plane, lake surface reflections due to sky radiance glint have to be taken into account. Because the accuracy of the retrieval algorithm is affected by water-vapor absorption in channel 2 and by variations in lake-water turbidity in channel 1, the optimal retrieval configuration is to employ vegetation observations in channel 1. Bidirectional effects have to be considered, however, for observations in the backscatter directions. (C) Elsevier Science Inc., 1997. [References: 22]
机译:一套完整的先进超高分辨率辐射计(AVHRR)数据以及对气溶胶和水汽含量的地面测量被用于测试一种算法,该算法可用于在红壤和湖水中的浓密植被上检索气溶胶特性。红色和近红外AVHRR通道。假设表面反射率弱且相当恒定,并且在辐射传递代码中具有合适的气溶胶模型,则卫星信号中的剩余方差将根据气溶胶光学厚度来解释。从理论计算来看,该算法对表面反照率特别敏感,并且反射率的不确定性0.01导致所获取的光学厚度的误差为+/- 0.1。这一理论估计值已通过在加拿大的北方森林地区和大湖之一(安大略省)上获得的数据得到证实。尤其是,在通道1上沿前向散射方向观察到的植被非常适合于提取,因为由于阴影效应,植被像素显得更暗。相反,由于镜面反射(闪烁效应),湖泊上的前向散射几何会在两个通道中引入较大的误差。即使对于从前向散射主平面上移开的观测结果,也必须考虑由于天空辐射闪烁造成的湖面反射。由于检索算法的精度受通道2中水汽吸收和通道1中湖水浊度变化的影响,因此最佳检索配置应在通道1中采用植被观测。但是,必须考虑双向影响,用于反向散射方向的观察。 (C)Elsevier Science Inc.,1997年。[参考:22]

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