View source: R/metrics_Terryn_2020.R
dbh_volume_ratio_qsm | R Documentation |
Calculates DBH-tree volume ratio from a TreeQSM.
dbh_volume_ratio_qsm(
treedata,
pc = NA,
buttress = FALSE,
thresholdR2 = 0.001,
slice_thickness = 0.06,
thresholdbuttress = 0.001,
maxbuttressheight = 7,
concavity = 4,
dtm = NA,
r = 5
)
treedata |
Treedata field of a TreeQSM that is returned by
|
pc |
The tree point cloud as a data.frame with columns X,Y,Z. Output of
|
buttress |
Logical (default=FALSE), indicates if the trees have buttresses. Only relevant if pc is available. |
thresholdR2 |
Numeric value (default=0.001). Parameter of the
|
slice_thickness |
Numeric value (default = 0.06). Parameter of the
|
thresholdbuttress |
Numeric value (default=0.001). Parameter of the
|
maxbuttressheight |
Numeric value (default=7). Parameter of the
|
concavity |
Numeric value (default=4) concavity for the computation of
the functional diameter using a concave hull based on
|
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. |
DBH and tree volume are calculated with dbh
and
tree_volume_qsm
.
DBH divided by the tree volume (trunk plus branches) in meters-2.
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 dbh volume ratio
qsm <- read_tree_qsm(QSM_path = "path/to/qsm.mat")
dvr <- dbh_volume_ratio_qsm(treedata = qsm$treedata)
# with point cloud data
pc_tree <- read_tree_pc("path/to/point_cloud.txt")
dvr <- dbh_volume_ratio_qsm(treedata = qsm$treedata, pc = pc_tree)
# for buttressed trees
dvr <- dbh_volume_ratio_qsm(
treedata = qsm$treedata, pc = pc_tree,
buttress = TRUE
)
## End(Not run)
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