Function reference • uavRst

All functions
`calc_ext()`	Convenient function to preprocess synthetic raster bands from a given RGB image and/or DTM/DSM data.
`chm_seg`	Canopy height model raster map
`chmseg_FT()`	Watershed segmentation based on 'ForestTools'
`chmseg_GWS()`	seeded region growing tree crown segmentation based on 'SAGA GIS'
`chmseg_ITC()`	Decision tree segmentation method to grow individual tree crowns based on 'itcSegment'
`chmseg_RL()`	Watershed segmentation based on 'rLiDAR'
`colorspace()`	imagemagick based function to transform the RGB color space into another
`crown_filter()`	basic filtering of crown polygons using altitude, area and other optional thresholds
`digitize()`	Easy digitizing of vector features within your rstudio session (or any browser)
`ffs_train()`	Forward feature selection based on rf model
`get_counts()`	counts pixel values according to their classes
`get_traindata()`	Extracts training data from a raster stack using vector data as a mask.
`linkGI()`	convenient function to establish all link2GI links
`make_syn_bands()`	Convenient function to preprocess synthetic raster bands from a given RGB image and/or DTM/DSM data.
`morpho_dem()` `morpho_dem()`	calculates most important DEM parameters
`mrbiko`	DEM data set of Marburg-Biedenkopf
`otb_stat()` `otb_stat()`	Calculates local statistics for a given kernel size
`otbtex_edge()` `otbtex_edge()`	Calculates edges for a given kernel size.
`otbtex_gray()` `otbtex_gray()`	Calculates Gray scale morphological operations for a given kernel size.
`otbtex_hara()` `otbtex_hara()`	OTB wrapper for Haralick's simple, advanced and higher order texture features.
`pacman`	example raster data set for demonstration usage
`pc_2D_dsm()`	Create a Digital Terrain Model from UAV generated point clouds by minimum altitude sampling
`pc_2D_fdtm()`	Create a Digital Terrain Model from UAV generated point clouds by minimum altitude sampling (fix resolution of sampling gridsize)
`pc_2D_mdtm()`	Create a Digital Terrain Model from UAV generated point clouds by minimum altitude sampling (multiple resolutions of sampling gridsize)
`poly_metrics()`	calculate morphometric features of polygons.
`poly_stat()`	Calculate descriptive statistics of raster as segmented by polygons
`predict_rgb()`	classify images using raster predict
`rgb`	RGB Orthoimagefrom an arbitray MOF plot
`rgb_indices()` `rgb_indices()`	RGB indices
`tile_eq()`	divide a lidR las* or lascatalog object by given factors
`treepos_FT()`	'ForestTools' tree top detection
`treepos_GWS()`	Find potential tree positions using a canopy height model
`treepos_RL()`	'rLiDAR' based tree detection of a LiDAR-derived Canopy Height Model (CHM)
`treepos_lidR()`	tree top detection based on local maxima filters as provided by 'lidR'
`trp_seg`	Optional tree position raster map
`uavRst`	Unmanned Aerial Vehicle Remote Sensing Tools - some cool tools to manipulate and analyze UAV derived RGB ortho imagery and point clouds.
`xyz2tif()`	Read, convert and write xyz DEM/DSM Data as typically provided by the Authorities to GeoTiff.

Reference

All functions