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Slope correction for LAI estimation from gap fraction measurements

机译:通过间隙分数测量进行LAI估计的斜率校正

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Digital hemispherical photography poses specific problems when deriving leaf area index (LAI) over sloping terrain. This study proposes a method to correct from the slope effect. It is based on simple geometrical considerations to account for the path length variation within the canopy for cameras pointing vertically. Simulations over sloping terrain show that gap fraction increases up-slope while decreasing down-slope. As a consequence of this balance between up- and down-slope effects, effective LAI estimates derived from inversion of the Poisson model are marginally affected for low to medium slopes (<25p) and LAI (LAI<2). However, for larger slopes and LAI values, estimated LAI values may be strongly underestimated. The proposed correction was evaluated over four forested sites located over sloping terrain. Results indicate that in these conditions (LAI between 0.6 up to 3.0, clumped canopies with relatively erectophile leaf distribution), the effect of the slope (between 25p and 36p) was moderate as compared to other potential sources of problems when deriving LAI from gap fraction measurements, including clumping, leaf angle inclination and spatial sampling.
机译:当在倾斜的地形上推导叶面积指数(LAI)时,数字半球摄影提出了特定的问题。这项研究提出了一种从斜率效应进行校正的方法。它基于简单的几何考虑,以说明相机垂直指向时顶篷内的路径长度变化。在倾斜的地形上进行的仿真表明,间隙分数增加了上坡度,同时减少了下坡度。由于在上坡和下坡效果之间取得了这种平衡,对于中低坡度(<25p)和LAI(LAI <2),从泊松模型反演得出的有效LAI估计值会受到一定程度的影响。但是,对于较大的斜率和LAI值,可能会严重低估估计的LAI值。对位于倾斜地形上的四个林场进行了评估。结果表明,在这些条件下(LAI在0.6到3.0之间,丛生的冠层具有相对直立的叶片分布),与从间隙分数中得出LAI的其他潜在问题来源相比,坡度(25p和36p之间)的影响中等测量,包括结块,叶片倾角和空间采样。

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