Skip to Main content Skip to Navigation
Poster communications

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, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Complete list of metadatas

https://hal.inria.fr/hal-01399489
Contributor : Franck Hétroy-Wheeler <>
Submitted on : Friday, November 18, 2016 - 11:11:38 PM
Last modification on : Friday, July 3, 2020 - 4:50:06 PM

Identifiers

  • HAL Id : hal-01399489, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

460