A point-cloud classification method to assess biases in tLiDAR-based forest canopy gap fraction estimates

Romain Rombourg 1 Eric Casella 2 Franck Hétroy-Wheeler 1 Helen Mckay 2
1 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Type de document :
Poster
International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA), Nov 2016, Qingdao, China. 2016
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https://hal.inria.fr/hal-01399489
Contributeur : Franck Hétroy-Wheeler <>
Soumis le : vendredi 18 novembre 2016 - 23:11:38
Dernière modification le : lundi 21 novembre 2016 - 14:48:56

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  • HAL Id : hal-01399489, version 1

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Romain Rombourg, Eric Casella, Franck Hétroy-Wheeler, Helen Mckay. A point-cloud classification method to assess biases in tLiDAR-based forest canopy gap fraction estimates. International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA), Nov 2016, Qingdao, China. 2016. 〈hal-01399489〉

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