M. Bouvier

发表

On the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters

Sylvie Durrieu, Cédric Véga, Jean-Pierre Renaud, 2016 .

Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data

R. Fournier, J. Renaud, S. Durrieu, 2015 .

Influence of Sampling Design Parameters on Biomass Predictions Derived from Airborne LiDAR Data

R. Fournier, E. Grau, D. Guyon, 2015, Canadian Journal of Remote Sensing.

Use of airborne lidar data to improve plant species richness and diversity monitoring in lowland and mountain forests

Sylvie Durrieu, Basile Herpigny, S. Durrieu, 2017, PloS one.

Polarized reflectances of natural surfaces: Spaceborne measurements and analytical modeling

Fabienne Maignan, François-Marie Bréon, F. Maignan, 2009 .

Indicators of climate: Ecrins National Park participates in long-term monitoring to help determine the effects of climate change

P. Choler, P. Bourdeau, F. Arnaud, 2016 .

A TREE-BASED APPROACH TO ESTIMATE WOOD VOLUME FROM LiDAR DATA: A CASE STUDY IN A PINE PLANTATION

C. Véga, S. Durrieu, M. Bouvier, 2015 .

An investigation into lidar scan angle impacts on stand attribute predictions in different forest environments

J. Monnet, J. Renaud, S. Durrieu, 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

PTrees: A point-based approach to forest tree extraction from lidar data

Sylvie Durrieu, Jean-Pierre Renaud, Jules Morel, 2014, Int. J. Appl. Earth Obs. Geoinformation.

SCAN ANGLE IMPACT ON LIDAR-DERIVED METRICS USED IN ABA MODELS FOR PREDICTION OF FOREST STAND CHARACTERISTICS: A GRID BASED ANALYSIS

J. Renaud, S. Durrieu, M. Bouvier, 2020 .

On the contribution of dendrometric « rules » to improve accuracy and genericity of ALS models using an area-based approach

C. Véga, J. Renaud, S. Durrieu, 2015 .