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lidR

Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.

Functions (99)

Gatziolis2019

Sensor tracking algorithm

LAD

Leaf area density

LAS-class

An S4 class to represent a .las or .laz file

LAScatalog-class

An S4 class to represent a catalog of .las or .laz files

LASheader

Create a LASheader object

LASheader-class

An S4 class to represent the header of .las or .laz files

Roussel2020

Sensor tracking algorithm

VCI

Vertical Complexity Index

add_attribute

Add attributes into a LAS object

area

Surface covered by a LAS* object

as.list.LASheader

Transform to a list

as.spatial

Transform a LAS* object into an sp object

asprs

ASPRS LAS Classification

catalog_apply

LAScatalog processing engine

catalog_intersect

Subset a LAScatalog with a Spatial* object

catalog_makechunks

Subdivide a LAScatalog into chunks

catalog_options_tools

Get or set LAScatalog processing engine options

catalog_retile

Retile a LAScatalog

catalog_select

Select LAS files manually from a LAScatalog

classify_ground

Classify points as 'ground'

classify_noise

Classify points as 'noise'

clip

Clip points in regions of interest

cloud_metrics

Compute metrics for a cloud of points

csf

Ground Segmentation Algorithm

dalponte2016

Individual Tree Segmentation Algorithm

decimate_points

Decimate a LAS object

delineate_crowns

Compute the hull of each tree.

deprecated

Deprecated functions in lidR

dsmtin

Digital Surface Model Algorithm

entropy

Normalized Shannon diversity index

extent

Extent

filter_duplicates

Filter duplicated points

filter_poi

Filter points of interest with matching conditions

filter_surfacepoints

Filter the surface points

filters

Predefined point of interest filters

find_localmaxima

Local Maximum Filter

find_trees

Individual tree detection

gap_fraction_profile

Gap fraction profile

grid_canopy

Digital Surface Model

grid_density

Map the pulse or point density

grid_metrics

Area-Based Approach

grid_terrain

Digital Terrain Model

hexbin_metrics

Area-Based Approach in hexagonal cells.

homogenize

Point Cloud Decimation Algorithm

identify

Retrieve individual pulses, flightlines or scanlines

A set of boolean tests on objects

ivf

Noise Segmentation Algorithm

knnidw

Spatial Interpolation Algorithm

kriging

Spatial Interpolation Algorithm

las_check

Inspect a LAS object

las_utilities

LAS utilities

li2012

Individual Tree Segmentation Algorithm

lidR-LAScatalog-drivers

LAScatalog drivers

lidR-package

lidR: airborne LiDAR for forestry applications

lidR-parallelism

Parallel computation in lidR

lidR-spatial-index

Spatial index

lidrpalettes

Palettes

lmf

Individual Tree Detection Algorithm

manual

Individual Tree Detection Algorithm

maxima

Point Cloud Decimation Algorithm

merge_spatial

Merge a point cloud with a source of spatial data

normalize_height

Remove the topography from a point cloud

normalize_intensity

Normalize intensity

p2r

Digital Surface Model Algorithm

pitfree

Digital Surface Model Algorithm

plot

Plot a LAS* object

plot.lasmetrics3d

Plot voxelized LiDAR data

plot_3d

Add a spatial object to a point cloud scene

pmf

Ground Segmentation Algorithm

point_metrics

Point-based metrics

print

Summary and Print for LAS* objects

projection

Get or set the projection of a LAS* object

random

Point Cloud Decimation Algorithm

range_correction

Intensity normalization algorithm

rbind.LAS

Merge LAS objects

readLAS

Read .las or .laz files

readLAScatalog

Create an object of class LAScatalog

readLASheader

Read a .las or .laz file header

redefined_behaviors

Inherited but modified methods from sp

rumple_index

Rumple index of roughness

segment_shapes

Estimation of the shape of the points neighborhood

segment_snags

Snag classification

segment_trees

Individual tree segmentation

set.colors

Automatic colorization

set_lidr_threads

Set or get number of threads that lidR should use

shape_detection

Algorithms for shape detection of the local point neighborhood

silva2016

Individual Tree Segmentation Algorithm

smooth_height

Smooth a point cloud

sor

Noise Segmentation Algorithm

stdmetrics

Predefined standard metrics functions

tin

Spatial Interpolation Algorithm

track_sensor

Reconstruct the trajectory of the LiDAR sensor using multiple returns

tree_metrics

Compute metrics for each tree

util_makeZhangParam

Parameters for progressive morphological filter

voxel_metrics

Voxelize the space and compute metrics for each voxel

voxelize_points

Voxelize a point cloud

watershed

Individual Tree Segmentation Algorithm

wing2015

Snags Segmentation Algorithm

writeLAS

Write a .las or .laz file

lidR

Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

v3.1.2

GPL-3

Authors

Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor())

Initial release

2021-03-11

lidR

Functions (99)

lidR

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