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Mean canopy profile height.
Although Asner et al. [15] previously compared regions using LiDAR-derived mean canopy profile height (MCH), we used top-of-canopy height (TCH) in this study.
Previous work repeatedly demonstrated that mean canopy profile height or MCH, which is the weighted height of the lidar point cloud in a 5 × 5 kernel, is highly correlated with ACD in tropical forests [17, 28, 44].
Although Asner et al. [ 15] previously compared regions using LiDAR-derived mean canopy profile height (MCH), we used top-of-canopy height (TCH) in this study.
Previous work repeatedly demonstrated that mean canopy profile height or MCH, which is the weighted height of the lidar point cloud in a 5 × 5 kernel, is highly correlated with ACD in tropical forests [ 17, 28, 44].
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Their results showed a close correlation among macroinvertebrate assemblages with water temperature and habitat-related parameters like mean substrate embeddedness and mean canopy density (Griffith et al. 2001).
The Lidar-derived metric, mean canopy height (MCH), or the centroid of the vertical canopy profile [25], has been found to be the best variable calibrating AGB as a single-metric model [21, 26].
Lidar-derived metrics most frequently used to predict biomass include mean or maximum canopy height [10-13] [10-13]ticandcanopy profile measures, such as height percentiles and vertical of heights [14,15].
Lidar-derived metrics most frequently used to predict biomass include mean or maximum canopy height [ 10- 13] and vertical canopy profile measures, such as height percentiles and variance of heights [ 14, 15].
mean canopy height.
The mean canopy depth is L ¯ = H ¯ − z ∗ + d.
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mean activity profile
mean canopy depth
mean canopy cover
mean power profile
mean density profile
mean canopy biomass
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mean ratio profile
mean transcription profile
mean temperature profile
mean lesion profile
mean depth profile
mean concentration profile
mean canopy surface
mean plasma profile
mean velocity profile
mean expression profile
mean canopy height
mean wind profile
mean flow profile
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