Photograph method to estimate canopy structure parameters of isolated trees- assessment from 3D digitised plants

A photograph method for the estimation of canopy structure has been developed and implemented in software named "Tree Analyser". It works from a set of digital photographs of a tree where each pixel is classified as vegetation or background. Each photograph must involve associated geometrical parameters, namely the distance to the tree trunk, height, elevation, azimuth direction and focal length. The method includes the estimation of canopy dimension, volume, total leaf area and spatial distribution of leaf area. Canopy height, diameter and volume are estimated on each image from plant silhouette. An iterative erosion process is used for computing crown volume. Estimation of total leaf area is based on gap fraction inversion, namely Beer's and binomial model. Spatial distribution of leaf area is estimated by nonlinear least square optimization technique. The methods have been successfully tested from a set of 3D digitised trees.

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Source https://theses.hal.science/tel-00681131
Author Phattaralerphong, Jessada
Maintainer CCSD
Last Updated May 23, 2026, 23:28 (UTC)
Created May 23, 2026, 23:28 (UTC)
Identifier NNT: 2005CLF21604
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Physique et Physiologie Intégratives de l'Arbre Fruitier et Forestier (PIAF) ; Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)
creator Phattaralerphong, Jessada
date 2005-10-31T00:00:00
harvest_object_id 06dfe682-b386-4c8c-9699-a757e92e2edb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-03-21T00:00:00
set_spec type:THESE