Alternatives and similar repositories for Canopy_entropy

Users that are interested in Canopy_entropy are comparing it to the libraries listed below

• philwilkes / TLS2trees
  ☆78Updated last year
• aidanmorales / rTwig
  R package for analyzing and correcting QSMs
  ☆14Updated 3 weeks ago
• TLSeparation / source
  Source code of the TLSeparation Python package.
  ☆38Updated 2 years ago
• bi0m3trics / spanner
  Utilities to support lidar (airborne, mobile, terrestial) applications at the landscape-, forest-, and tree-scale to facilitate ecologcia…
  ☆34Updated last week
• tls-tools-ucl / TLS2trees
  ☆30Updated last year
• SKrisanski / FSCT
  ☆177Updated last year
• tiagodc / TreeLS
  R functions for processing individual tree TLS point clouds
  ☆96Updated 8 months ago
• lmterryn / ITSMe
  ☆59Updated 6 months ago
• aestovall / TLSLeAF
  TLSLeAF - leaf angle estimates using single-scan terrestrial laser scanning data.
  ☆19Updated 3 years ago
• wanxinyang / treegraph
  Extract structural models from point clouds of individual trees.
  ☆26Updated 2 years ago
• truebelief / cc-TreeAIBox-plugin
  AI-Enhanced Toolset for 3D Tree Processing: A CloudCompare Plugin
  ☆22Updated 7 months ago
• umr-amap / aRchi
  R package aRchi. Tree architecture from terrestrial laser scanning (TLS) data
  ☆36Updated 2 months ago
• SmartForest-no / Point2tree
  ☆50Updated 2 years ago
• porteratzo / TreeTool
  ☆54Updated 7 months ago
• NRCan / TreeAIBox
  A CloudCompare Python plugin for a suite of LiDAR processing modules targeting forest and tree analysis.
  ☆60Updated 4 months ago
• DRAAlmeida / leafR
  Provides a set of functions for analyzing the ecological structure of forests based on LAI and LAD measures derived from LiDAR data.
  ☆22Updated 4 years ago
• harryjfowen / PointsToWood
  Classification of leaf and wood in high resolution TLS point clouds of forests using deep learning
  ☆30Updated 3 months ago
• stefp / FOR-species20K
  ☆61Updated 11 months ago
• umr-amap / AMAPVox
  LiDAR data voxelisation package
  ☆21Updated 2 months ago
• Molina-Valero / FORTLS
  Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
  ☆29Updated last week
• GuangpengFan / AdQSM
  AdQSM is a new tree quantitative structure model (QSM) that can reconstruct the 3D branch geometry of individual tree from Terrestrial La…
  ☆61Updated 2 years ago
• lwiniwar / pyForMetrix
  Python package to extract forestry metrics from laser scanning/lidar data
  ☆18Updated 2 years ago
• iosefa / PyForestScan
  A python package for calculating forest structural metrics from airborne point clouds.
  ☆73Updated 2 months ago
• philwilkes / forestlas
  code for generating metrics of forest vertical structure from airborne LiDAR data
  ☆21Updated 6 years ago
• SmartForest-no / SegmentAnyTree
  ☆136Updated 5 months ago
• StefOe / DPCR-AGB
  This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estim…
  ☆30Updated last year
• aestovall / GEDI_Workshop
  Code and Tutorials for the 2023 Silvilaser GEDI Workshop
  ☆16Updated 2 years ago
• 3dgeo-heidelberg / syssifoss
  ☆18Updated 3 years ago
• remotesensinginfo / pysl4land
  Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications
  ☆19Updated 3 years ago
• Jean-Romain / lidRplugins
  Extra functions and algorithms for lidR package
  ☆50Updated 3 years ago