首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Multiangle monitoring of atmospheric aerosol and surface reflectance from Mir station
【24h】

Multiangle monitoring of atmospheric aerosol and surface reflectance from Mir station

机译:Mir站对大气气溶胶和表面反射率的多角度监测

获取原文
获取原文并翻译 | 示例

摘要

This paper presents the data of a series of multiangle experiments performed from the orbital station Mir in 1993-1994 over the semiarid regions of Kazakhstan and the forest test sites of Zabaikal'e and Khabarovsky Krai (Russia). Collected data were processed to obtain the optical thickness and scattering function of atmospheric aerosol and surface albedo in ten spectral bands of spectrometer MKS-M2. To this end, the following approach was adopted. In the visible part of the spectrum, where the reflectance of observed surfaces is relatively low, they were assumed to be Lambertian. On this basis, spectral dependencies of the above parameters were obtained using a multiangle method. In the near-infrared (NIR) part of the spectrum, where the surface reflectance is considerable and its anisotropy gives a substantial contribution to the angular dependence of radiance, the optical thickness was obtained via extrapolation from the visible spectral interval and then the effective surface albedo was estimated from measurements. To test the validity of the Lambertian assumption, a qualitative criterion is suggested. Obtained results were also verified by ground albedo measurements: spectral albedo retrieved for the semiarid terrain and the measurements at the subsatellite point coincided with the average accuracy 0.01.
机译:本文介绍了1993-1994年在米尔哈尔轨道交通站进行的一系列多角度试验的数据,这些试验是在哈萨克斯坦的半干旱地区以及Zabaikal'e和Khabarovsky Krai(俄罗斯)的森林试验场上进行的。处理收集的数据以获得光谱仪MKS-M2的十个光谱带中的大气气溶胶和表面反照率的光学厚度和散射功能。为此,采用了以下方法。在光谱的可见部分中,观察到的表面的反射率相对较低,它们被假定为朗伯型。在此基础上,使用多角度方法获得上述参数的光谱依赖性。在光谱的近红外(NIR)部分中,表面反射率相当大,并且其各向异性对辐射的角度依赖性有很大贡献,光学厚度是通过从可见光谱间隔以及有效表面外推得出的反照率是根据测量值估算的。为了检验Lambertian假设的有效性,提出了定性标准。地面反照率测量也验证了获得的结果:针对半干旱地形获取了光谱反照率,并且在亚卫星点的测量值与平均准确度一致,为0.01。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号