lidR v1.3.0
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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.
Readme
R package for Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
The lidR package provides functions to read and write .las and .laz files, plot a point cloud, compute metrics using an area-based approach, compute digital canopy models, thin lidar data, manage a catalog of datasets, automatically extract ground inventories, process a set of tiles in multicore, individual tree segmentation, classify data from geographic data, and provides other tools to manipulate LiDAR data.
Development of the lidR package between 2015 and 2017 was made possible thanks to the financial support of the AWARE project; grantee Prof Nicholas Coops.
Please contact the author for bug reports or feature requests (on github, preferably). I enjoy implementing new features!
Features (not exhaustive)
- Read write .las and .laz files
- Plot 3D LiDAR data
- Retrieve indiviual pulses and flightlines
- Compute any set of metrics using an area based approach
- Compute any set of metrics on a cloud of points
- Classify and clip data from geographic shapefiles
- Colorize a point cloud from RGB images
- Filter a cloud of points based on any condition test
- Clip data based on discs, rectangles or polygons
- Manage a catalog of
.lastiles - Thin a point cloud to reach a homogeneous pulse density
- Automatically extract a set of ground plot inventories
- Analyse a full set of tiles in parallel computing
- Compute a digital canopy model (DCM)
- Compute a digital terrain model (DTM)
- Normalize a point cloud substracting a DTM
- Individual tree segmentation
Install lidR
- The latest released version from CRAN with
install.packages("lidR")
- The latest development version from github with
devtools::install_github("Jean-Romain/rlas", dependencies=TRUE)
devtools::install_github("Jean-Romain/lidR", dependencies=TRUE)
To install the package from github make sure you have a working development environment.
- Windows: Install Rtools.exe.
- Mac: Install
Xcodefrom the Mac App Store. - Linux: Install the R development package, usually called
r-develorr-base-dev
Some examples
Changelog
Functions in lidR
| Name | Description | |
| LAS-class | An S4 class to represent the data read in a .las or .laz file | |
| lasground | Classify points as ground or not ground | |
| lidR-deprecated | Deprecated function(s) in the lidR package | |
| LAD | Leaf area density | |
| tree_metrics | Compute metrics for each tree | |
| entropy | Normalized Shannon diversity index | |
| lidr_options | Options Settings for the lidR package | |
| -,LAS,RasterLayer-method | Convenient operator to lasnormalize | |
| extent,LAS-method | Extent | |
| grid_density | Map the pulse or point density | |
| grid_hexametrics | Compute metrics for hexagonal cells | |
| writeLAS | Write a las or laz file | |
| laspulse | Retrieve individual pulses | |
| plot.LAScatalog | Plot a LAScatalog object | |
| lasroi | Select a region of interest interactively | |
| plot.lashexametrics | Plot an object of class lashexametrics in 2D | |
| plot3d | Plot a wireframe of a RasterLayer or a lasmetrics object | |
| readLAS | Read .las or .laz files | |
| area | Surface covered by a LAS object or by a LAScatalog. | |
| catalog | Build a catalog of las tiles/files | |
| as.lasmetrics | Set the class 'lasmetrics' to a data.frame or a data.table | |
| catalog_apply | Apply a user-defined function to an entire catalog in a continuous way | |
| lasclassify | Classify LiDAR points from source data | |
| lasmetrics | Compute metrics for a cloud of points | |
| lasnormalize | Subtract digital terrain model | |
| lasclip | Clip LiDAR points | |
| plot.lasmetrics | Plot an object of class lasmetrics in 2D | |
| plot.lasmetrics3d | Plot voxelized LiDAR data | |
| stdmetrics | Predefined standard metrics functions | |
| summary.LAS | LiDAR data summary | |
| LAScatalog-class | An S4 class to represent a set of a .las or .laz files | |
| LASheader-class | An S4 class to represent the header read in a .las or .laz file | |
| as.raster.lasmetrics | Transform a lasmetrics object into a spatial RasterLayer object | |
| as.spatial | Transform a lidR object into sp object | |
| gap_fraction_profile | Gap fraction profile | |
| lasfilter | Return points with matching conditions | |
| grid_canopy | Canopy surface model | |
| lasfilters | Predefined filters | |
| lasscanline | Retrieve individual scanline | |
| lastrees | Individual tree segmentation | |
| VCI | Vertical Complexity Index | |
| LASheader | Create a LASheader object | |
| catalog_reshape | Reshape (retile) a catalog | |
| catalog_select | Select LAS files interactively | |
| grid_terrain | Digital Terrain Model | |
| grid_tincanopy | Canopy height model based on a triangulation. | |
| lascolor | Compute the color from RGB fields | |
| lasdecimate | Thin LiDAR data | |
| lidrpalettes | Palettes | |
| rumple_index | Rumple index of roughness | |
| plot.LAS | Plot LiDAR data | |
| set.colors | Automatic colorization | |
| LAS | Create a LAS object | |
| catalog_options | Options Settings for the catalog tools | |
| catalog_queries | Extract LiDAR data based on a set of coordinates | |
| grid_metrics | Rasterize the space and compute metrics for each cell | |
| grid_metrics3d | Voxelize the space and compute metrics for each voxel | |
| lasflightline | Retrieve individual flightlines | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2017-10-16 |
| URL | https://github.com/Jean-Romain/lidR |
| BugReports | https://github.com/Jean-Romain/lidR/issues |
| License | GPL-3 |
| LazyData | true |
| RoxygenNote | 6.0.1 |
| LinkingTo | Rcpp,RcppProgress |
| Encoding | UTF-8 |
| biocViews | |
| Collate | 'RcppExports.R' 'catalog_apply.r' 'catalog_index.r' 'catalog_makecluster.r' 'catalog_query.r' 'catalog_reshape.r' 'catalog_select.r' 'class-lasheader.r' 'class-las.r' 'class-lascatalog.r' 'constant.R' 'deprecated.r' 'grid_canopy.r' 'grid_catalog.r' 'grid_density.r' 'grid_hexametrics.r' 'grid_metrics.r' 'grid_metrics3d.r' 'grid_terrain.r' 'grid_tincanopy.r' 'lasaggreagte.r' 'lascheck.r' 'lasclassify.r' 'lasclip.r' 'lascolor.r' 'lasdecimate.r' 'lasfilter.r' 'lasground.r' 'lasindentify.r' 'lasmetrics.r' 'lasnormalize.r' 'lasroi.r' 'lastrees.r' 'lidRError.r' 'metrics.r' 'metrics_canopy_roughness.r' 'mutatebyref.r' 'options.r' 'plot.catalog.r' 'plot.las.r' 'plot.lashexametrics.r' 'plot.lasmetrics.r' 'plot.lasmetrics3d.r' 'plot3d.r' 'readLAS.r' 'subcircled.r' 'tree_metrics.r' 'utils_colors.r' 'utils_geometry.r' 'utils_interpolations.r' 'utils_misc.r' 'utils_progress.r' 'utils_projection.r' 'utils_spatial.r' 'utils_typecast.r' 'writeLAS.r' 'zzz.r' |
| imports | data.table , gdalUtils , geometry , grDevices , gstat , lazyeval , mapedit , mapview , memoise , parallel , raster , Rcpp , rgeos , rgl , rlas (>= 1.1.0) , settings , sp , stats , stringr , tools , utils |
| suggests | EBImage , hexbin , rgdal , testthat |
| depends | magrittr , methods , R (>= 3.1.0) |
| linkingto | RcppProgress |
| Contributors | David Auty, Florian De Boissieu, Andrew S<c3><a1>nchez Meador |
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