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. 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.
Not quite ready to purchase a license? How about a free trial? We are happy to provide you with a three day free trial to any of our Whitebox extensions. Click here, if you are interested in a free trial for any of the Whitebox extensions.
List of Tools in the LiDAR & Remote Sensing Extension
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CannyEdgeDetection
Performs a Canny edge-detection filter on an input image. -
EvaluateTrainingSites
Inspects the overlap in spectral signatures of training sites for various classes. -
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. -
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. -
LidarSortByTime
Sorts the points in a LiDAR file by the GPS time. -
MinDistClassification
Performs a supervised minimum-distance classification using training sites and multi-spectral images. -
ParallelepipedClassification
Performs a supervised parallelepiped classification using training sites and multi-spectral images. -
PhiCoefficient
Performs a binary classification accuracy assessment.
Examples from the LiDAR & Remote Sensing Extension
LiDAR Contour
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Canny Edge Detection
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Minimum Distance Classification
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Evaluate Training Sites
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Download the LiDAR & Remote Sensing Extension
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