Sentence examples for canopy profile from inspiring English sources

Mean canopy profile height.

Fruit position effects regarding photosynthetically active radiation availability, along the canopy profile using the Y training system, were investigated.

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.

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].

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].

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].

The canopy profiles of Eucalyptus plantations across age and pulse density are represented in Fig. 3.

We found that metrics from field-derived vertical canopy profiles are highly correlated (R2 up to.94) with EAGB across the entire range of conditions sampled.

Next, we found that vertical canopy profiles from a large-footprint lidar instrument were closely related with coincident field profiles, and that metrics from both field and lidar profiles are highly correlated.

These results help to explain the nature of the relationship between lidar data and EAGB, and also lay the foundation to explore the generality of the relationship between vertical canopy profiles and biomass in other tropical regions.

We first examined the relationship between simple vertical canopy profiles derived from field measurements and the estimated aboveground biomass (EAGB) across a range of field plots located in primary and secondary tropical rainforest and in agroforesty areas.