QSM Correct Shoots
Plugin : SimpleForestNom de classe : SF_StepQSMCorrectShoots
Description
Epicormic shoots are problematic for the allometric correction. Those are in general hugely overesimtated. The algorithm searches from the root to the crown along the stem for shoots and corrects shoot cylinders with a user given radius.
Paramètres
Paramètres de pré-configuration (non modifiables une fois l'étape ajoutée) :
Shoot correction:
Please excuse potential double citation with the step related citation for the
following general citation for SimpleForest (work on updated citable resource ongoing):
A majority of implementations are based on PCL library:
------------------------------------------------------------------------------
For For the introduction of using defined parameters in such correction and autoestimating the power parameter cite
(2.2. Tree Modeling - Allometric improvement)
- Uncheck to deactivate parameterization possibilities of this step. Only recommended for beginners: Activé.
Shoot correction:
- Use as correction radius [correction radius] 0.005 (m). .
- To account to model errors also count as a shoot branches which split one time Activé.
.
Please excuse potential double citation with the step related citation for the
following general citation for SimpleForest (work on updated citable resource ongoing):
A majority of implementations are based on PCL library:
------------------------------------------------------------------------------
For For the introduction of using defined parameters in such correction and autoestimating the power parameter cite
(2.2. Tree Modeling - Allometric improvement)
Données d'entrée
Structure des données d'entrée recherchées :
Result : Input result Step Correct Shoots
...
QSM Group (Group)
internal QSM ()
Result : Input result Step Correct Shoots
...
QSM Group (Group)
internal QSM ()
Références
Hackenberg Jan, Spiecker Heinrich, Calders Kim, Disney Mathias, Raumonen Pasi. 2015. SimpleTree - an efficient open source tool to build tree models from TLS clouds. Multidisciplinary Digital Publishing Institute. Forests.