Chaofan Hong, Dan Li, Liusheng Han, Xiong Du, Shuisen Chen, Jianbo Qi, Chongyang Wang, Xia Zhou, Boxiong Qin, Hao Jiang, Kai Jia, Zuanxian Su
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引用次数: 0
Abstract
The canopy of perennial evergreen fruit trees in southern China has a unique Bidirectional Reflectance Factor (BRF) due to its complex multi-branch structure and density changes. This study aimed to address the lack of clarity regarding the changes in BRF of evergreen fruit trees in southern China. Litchi, a typical fruit tree in this region, was chosen as the subject for establishing a three-dimensional (3D) real structure model. The canopy BRF of litchi was simulated under different leaf components, illumination geometry, observed geometry, and leaf area index (LAI) using a 3D radiation transfer model. The corresponding changes in characteristics were subsequently analyzed. The findings indicate that the chlorophyll content and equivalent water thickness of leaves exert significant influences on canopy BRF, whereas the protein content exhibit relatively weak effects. Variation in illumination and observation geometry results in the displacement of hotspots, with the solar zenith angle and view zenith angle exerting significant influence on the BRF. As the LAI of the litchi orchard increases, the distribution of hotspots becomes more concentrated, and the differences in angle information are relatively smaller when observed from multiple angles. With the increase in LAI in litchi orchards, the BRF on the principal plane would be saturated, but observation at hotspots could alleviate this phenomenon. The above analysis provides a reference for quantitative inversion of vegetation parameters using remote sensing monitoring information of typical perennial evergreen fruit trees.
中国南方多年生常绿果树树冠因其复杂的多枝结构和密度变化而具有独特的双向反射系数(BRF)。本研究旨在解决中国南方常绿果树双向反射系数变化不明确的问题。本研究选择了该地区的典型果树荔枝作为研究对象,建立了一个三维(3D)真实结构模型。利用三维辐射传递模型模拟了不同叶片成分、光照几何形状、观测几何形状和叶面积指数(LAI)下的荔枝树冠BRF。随后分析了相应的特征变化。研究结果表明,叶片的叶绿素含量和等效水厚度对冠层 BRF 有显著影响,而蛋白质含量的影响相对较弱。光照和观测几何形状的变化导致了热点的移动,其中太阳天顶角和观测天顶角对冠层快速辐射系数有显著影响。随着荔枝园 LAI 的增加,热点分布更加集中,从多个角度观察时,角度信息的差异相对较小。随着荔枝园 LAI 的增加,主平面上的 BRF 将趋于饱和,但热点观测可以缓解这一现象。上述分析为利用典型多年生常绿果树的遥感监测信息进行植被参数定量反演提供了参考。