LiDAR & Remote Sensing Extension
The LiDAR & Remote Sensing Extension contains plugins that extend the functionality of the WhiteboxTools open-core for processing LiDAR and imagery data. This extension easily integrates into your current WhiteboxTools environment. To utilize the LiDAR & Remote Sensing Extension, purchase a software license, then download and install the extension. The extension has transparent pricing, with academic and multi-seat discounts. We offer both annual and perpetual licenses. By purchasing a license you are not only enhancing the power of the open-source WhiteboxTools platform, you are also helping to support the continued development of the software.
List of Tools in the LiDAR & Remote Sensing Extension
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CannyEdgeDetection
Performs a Canny edge-detection filter on an input image. -
ColourizeBasedOnClass
Sets the RGB values of a LiDAR point cloud based on the point classification values. -
ColourizeBasedOnPointReturns
Sets the RGB values of a LiDAR point cloud based on the point return values. -
EvaluateTrainingSites
Inspects the overlap in spectral signatures of training sites for various classes. -
GeneralizeClassifiedRaster
Generalizes a raster containing class or object features by removing small features. -
GeneralizeWithSimilarity
Generalizes a raster containing class features by reassigning the identifier values of small features to those of neighbouring features based on similarity in spectral space. -
FilterLidar
Removes points in a LAS file with certain specified class values. -
ImageSegmentation
Performs a region-growing based segmentation on a set of multi-spectral images. -
ImageSlider
Creates an image slider from two input images. -
InversePrincipalComponentAnalysis
Performs an inverse principal component analysis on a series of input component images. -
LasToLaz
Converts LAS files into the LAZ format. -
LazToLas
Converts LAZ files into the LAS format. -
LidarContour
Creates a vector contour coverage from an input LiDAR point file. -
LidarEigenvalueFeatures
Calculate eigenvalue-based metrics from a LiDAR point cloud, including linearity, planarity, sphericity, omnivariance, eigentropy, and others. -
LidarPointReturnAnalysis
Performs a quality control check on the return values of points in a LiDAR file. -
LidarSibsonInterpolation
Interpolates one or more LiDAR tiles using Sibson's natural neighbour method. -
MinDistClassification
Performs a supervised minimum-distance classification using training sites and multi-spectral images. -
ModifyLidar
Modify points within a LiDAR point cloud based on point properties. -
ParallelepipedClassification
Performs a supervised parallelepiped classification using training sites and multi-spectral images. -
PhiCoefficient
Performs a binary classification accuracy assessment. -
PiecewiseContrastStretch
Performs a piecewise contrast stretch on an input image. -
RecoverFlightlineInfo
Associates LiDAR points by their flightlines. -
SortLidar
Sorts the points in a LiDAR file using point properties. -
SplitLidar
This tool splits LiDAR points up into a series of new files based on their properties.
Examples from the LiDAR & Remote Sensing Extension
Modify Lidar
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Recover Flightline Info
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LiDAR Contour
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Lidar Eigen Value Features
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Minimum Distance Classification
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Canny Edge Detection
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Generalize Classified Raster
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Evaluate Training Sites
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Download the LiDAR & Remote Sensing Extension