Assessment of Multiple Scattering in the Reflectance of Semiarid Shrublands
Assessment of Multiple Scattering in the Reflectance of Semiarid Shrublands
复制标题
半干旱灌木丛反射率的多重散射评估
DOI：
10.1109/tgrs.2015.2413409
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发表时间：
2015-04
影响因子：
8.2
通讯作者：
Jia Xiuping
中科院分区：
文献类型：
--
作者：
Wang Jianmin;Cao Xin;Chen Jin;Jia Xiuping
混合像元内的多次散射会对遥感图像中的测量光谱产生非线性影响。本研究提供了半干旱灌丛反射率中多次散射的定量评估，并探讨了其与灌木特性(密度和高度)以及成像参数(波长和视角)的关系。野外测量是在中国的浑善达克沙地南缘进行的。采用蒙特卡罗光线追踪模型--森林光相互作用模型(FISH)模拟多次散射结果。飞行模拟结果首先与现场测量结果进行评估，然后与陆地卫星8号OLI图像进行比较。结果表明：1)多次散射对场景光谱的贡献随植被覆盖度和冠层高度的增加而线性增加；2)总体上，多次散射对近红外区的影响大于对可见光波段的影响；3)阴影显著地增强了多次散射效应，特别是在可见光波段；4)80%~100%的多重散射是由可见光波段内的二级散射引起的，60%~90%是由近红外波段内的二级散射引起的。这一研究有助于加深我们对多次散射效应的理解，并在线性和非线性光谱分解模型之间进行选择，以求解混和像元中灌木和土壤的丰度。
Multiple scattering within a mixed pixel results in a nonlinear effect on the measured spectra in remotely sensed imagery. This study provides a quantitative assessment of multiple scattering in the reflectance of semiarid shrublands and explores its relationship to the characteristics of shrubs (density and height) and imaging parameters (wavelength and viewing angles). Field measurements were conducted at the southern fringe of the Otindag Sandy Land in China. A Monte Carlo ray tracing model, the Forest LIGHT interaction model (FLIGHT), was applied to simulate the multiple scattering results. FLIGHT simulation results were first evaluated against field measurements and then compared with a Landsat-8 OLI image. Results show that: 1) the contribution of multiple scattering to the spectra of a scene increases linearly with the fractional cover of vegetation and crown height; 2) in general, multiple scattering has a stronger effect on the near-infrared (NIR) domain than on the visible bands; 3) shadows significantly strengthen the multiple scattering effect, specifically within the visible bands; and 4) 80 to 100% of the total multiple scattering is caused by the second-order scattering within the visible bands and 60% to 90% within the NIR band. This study helps to improve our understanding of the multiple scattering effect and to select between linear and nonlinear spectral unmixing models to solve the abundances of shrubs and soil in mixed pixels.
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影响因子：
3.4
作者：
Ben Somers;S. Delalieux;W. Verstraeten;J. Aardt;G. Albrigo;P. Coppin
通讯作者：
Ben Somers;S. Delalieux;W. Verstraeten;J. Aardt;G. Albrigo;P. Coppin
DOI：
10.1109/36.508411
发表时间：
1996
期刊：
IEEE Trans. Geosci. Remote. Sens.
影响因子：
--
作者：
P. North
通讯作者：
P. North
影响因子：
13.5
作者：
T. W. Ray;B. Murray
通讯作者：
T. W. Ray;B. Murray
影响因子：
13.5
作者：
C. Small
通讯作者：
C. Small
影响因子：
13.5
作者：
J. Verrelst;M. Schaepman;Z. Malenovský;J. Clevers
通讯作者：
J. Verrelst;M. Schaepman;Z. Malenovský;J. Clevers