treepos_lidR | R Documentation |
Tree top detection based on local maxima filters. There are two types of filter. The first,
called for gridded objects, works on images with a matrix-based algorithm. And the second one, called for
point clouds, works at the point cloud level without any rasterization. Jean-Romain Roussel and David Auty:
R package lidR
treepos_lidR(chm = NULL, movingWin = 7, minTreeAlt = 2)
chm |
Canopy height model in |
movingWin |
Size (in pixels) of the moving window to detect local maxima. |
minTreeAlt |
Height threshold (m) below a pixel cannot be a local maximum. Local maxima values are used to define tree tops. |
raster* object
## Not run: require(uavRst) ## required packages require(uavRst) data(chm_seg) ## find trees tPoslidR <- treepos_lidR(chm = chm_seg[[1]], movingWin = 3, minTreeAlt = 15) ## visualisation # mapview::mapview(tPoslidR) raster::plot(tPoslidR) ## End(Not run)
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