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ITCSegment algorithm

Subcategory: remote sensing
Standard reference: Dalponte et al. 2016
Papers: 2 | Mentions: 4

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Knowledge graph centered on ITCSegment algorithm with 34 nodes and 86 connections. Top connected: drought stress, stand density effects, canopy surface area, carbon mass balance, Forest inventory plot sampling.

Description

Region-growing algorithm that iteratively incorporates LiDAR points into candidate tree canopies starting from seed locations identified as local height maxima with height-dependent neighborhoods.

Typical Equipment

  • ITCsegment algorithm (Dalponte and Coomes 2016)
  • lidR R package version 3.4

Output Measurements

  • individual tree locations
  • canopy volumes
  • tree heights
  • crown polygons

Papers Using This Protocol (2)

article

A Bayesian record linkage approach to applications in tree demography using overlapping LiDAR scans

2025Annals of Applied Statisticsusing
student_paper

Stem and canopy growth analysis in Picea Engelmannii with UAVs and field measurements

2024using