View source: R/metrics_Terryn_2020.R
crown_diameterheight_ratio_qsm | R Documentation |
Calculates the ratio between the crown diameter and the crown height from a TreeQSM (Akerblom et al., 2017 & Terryn et al., 2020).
crown_diameterheight_ratio_qsm(treedata, cylinder, pc = NA, dtm = NA, r = 5)
treedata |
Treedata field of a TreeQSM that is returned by
|
cylinder |
Cylinder field of a TreeQSM that is returned by
|
pc |
The tree point cloud as a data.frame with columns X,Y,Z. Output of
|
dtm |
The digital terrain model as a data.frame with columns X,Y,Z
(default = NA). If the digital terrain model is in the same format as a
point cloud it can also be read with |
r |
Numeric value (default=5) r which determines the range taken for the dtm. Should be at least the resolution of the dtm. Only relevant when a dtm is provided. |
The crown diameter is the maximum radii of the vertical bin radius estimates
that are calculated with vertical_bin_radii_qsm
. The crown
height is the vertical distance between the highest and the lowest crown
cylinder and is obtained from crown_height_qsm
multiplied with
the tree_height.
The ratio of the crown diameter and crown height.
Akerblom, M., Raumonen, P., Makipaa, R., & Kaasalainen, M. (2017). Automatic tree species recognition with quantitative structure models. Remote Sensing of Environment, 191, 1-12.
Terryn, L., Calders, K., Disney, M., Origo, N., Malhi, Y., Newnham, G., ... & Verbeeck, H. (2020). Tree species classification using structural features derived from terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 168, 170-181.
## Not run:
# Read tree qsm and calculate the crown diameter height ratio
qsm <- read_tree_qsm(QSM_path = "path/to/qsm.mat")
cdh_ratio <- crown_diameterheight_ratio_qsm(
treedata = qsm$treedata,
cylinder = qsm$cylinder
)
# with point cloud data
pc_tree <- read_tree_pc(PC_path = "path/to/point_cloud.txt")
cdh_ratio <- crown_diameterheight_ratio_qsm(
treedata = qsm$treedata,
cylinder = qsm$cylinder,
pc = pc_tree
)
## End(Not run)
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