Metadata-Version: 1.1
Name: tlseparation
Version: 1.2.1.2
Summary: Performs the wood/leaf separation from 3D point clouds generated using Terrestrial LiDAR Scanners.
Home-page: https://github.com/mattbv/tlseparation
Author: Matheus Boni Vicari
Author-email: matheus.boni.vicari@gmail.com
License: LICENSE.txt
Description: TLSeparation is a library aimed at perfoming automated material separation from terrestrial laser scanning (TLS) point cloud data.
        
        The list of functions available is still growing, with different approaches for pre-processing, classifying and filtering still being added.
        
        This is still a work in progress, requiring some polishing to improve user-friendliness, but the core modules are sound and tested.
        
        Over the following weeks, more documentation will be added to help users to perform the automated separation or use the individual modules/functions in different workflows.
        
        The tlseparation library is being developed as part of my PhD research, supervised by Dr. Mat Disney, in the Department of Geography at University College London (UCL). My research 
        is funded through Science Without Borders from the National Council of Technological and Scientific Development (10.13039/501100003593) – Brazil (Process number 233849/2014-9). 
        
        Any questions or suggestions, feel free to contact me using one of the following e-mails: matheus.boni.vicari@gmail.com or matheus.vicari.15@ucl.ac.uk
        
Keywords: wood/leaf separation TLS point cloud LiDAR
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
