QSM Allometric Correction Manual
Plugin : SimpleForestNom de classe : SF_StepQSMAllometricCorrectionManual
Description
In Xu et al 2007 an early QSM radius predicting method using based on metabolic scaling theory is presented.There the radius is predicted from the length to the tip. During the devlopment of Simpletree much more powerful parameters than traditional volume or length were invented. See Hackenberg 2015 for the recursive definition of the volume named growthvolume.The two parameter equation (radius = a*growthlength^b) or (radius = a*growthVolume^b). showed more accuracy with the invented recursive defined parameters applied as independent variable in the power model.Here we will apply the forumla of 2007 with the new parameter growthlength for QSM radius correction. The power parameters a and b need to be computed externally in this step and are user intput.
Paramètres
Paramètres de pré-configuration (non modifiables une fois l'étape ajoutée) :
Allometric 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)
For this step please you can cite in addition an early method using allometric prediction with length and radius:
(section 5.1 Tree Allometry)
- Uncheck to deactivate parameterization possibilities of this step. Only recommended for beginners: Activé.
Allometric correction:
- [growth Parameter] GrowthVolume .
- The lower the [correction range] , a percentage number between 0 and 1, the more strict is the check: 0.150 (m). .
- Each cylinder has a [min Radius] 0.00250 (m). .
- Use as power parameter [a]: 0.00100000 . .
- Use as power parameter [b]: 0.40160643 . .
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)
For this step please you can cite in addition an early method using allometric prediction with length and radius:
(section 5.1 Tree Allometry)
Données d'entrée
Structure des données d'entrée recherchées :
Result : Input result Step Allometric Correction Manual
...
QSM Group (Group)
internal QSM ()
Result : Input result Step Allometric Correction Manual
...
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.
Hackenberg Jan, Sheppard Jonathan, Spiecker Heinrich, Disney Mathias. 2014. Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description. Multidisciplinary Digital Publishing Institute. Forests.
Rusu Radu Bogdan, Cousins Steve. 2011. 3d is here: Point cloud library (pcl). IEEE. Robotics and Automation (ICRA), 2011 IEEE International Conference on.
Hackenberg Jan, Sheppard Jonathan, Spiecker Heinrich, Disney Mathias. 2014. Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description. Multidisciplinary Digital Publishing Institute. Forests.
Rusu Radu Bogdan, Cousins Steve. 2011. 3d is here: Point cloud library (pcl). IEEE. Robotics and Automation (ICRA), 2011 IEEE International Conference on.