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.

glcm_texture()

Calls the glcm package with useful settings

linkAll()

convenient function to establish all link2GI links

morpho_dem()

calculates most important DEM parameters

mrbiko

DEM data set of Marburg-Biedenkopf

otb_stat()

Calculates local statistics for a given kernel size

otbtex_edge()

Calculates edges for a given kernel size.

otbtex_gray()

Calculates Gray scale morphological operations for a given kernel size.

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 segemented by polygons

predict_rgb()

classify images using raster predict

rgb

RGB Orthoimagefrom an arbitray MOF plot

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 and Convert xyz DEM/DSM Data as typically provided by the Authorities.