J. Renaud

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 .

Estimating forest soil bulk density using boosted regression modelling

L. Montanarella, J. Renaud, D. Arrouays, 2010 .

Multidimensional scaling of first-return airborne laser echoes for prediction and model-assisted estimation of a distribution of tree stem diameters

Steen Magnussen, Jean-Pierre Renaud, S. Magnussen, 2016, Annals of Forest Science.

Response to an ozone gradient of growth and enzymes implicated in tolerance to oxidative stress in Acer saccharum (Marsh.) seedlings

P. Widden, J. Renaud, P. Dizengremel, 2006 .

Forest storm damage is more frequent on acidic soils

Lorenz Walthert, Dionys Hallenbarter, Matthias Dobbertin, 2005 .

Stand-level wind damage can be assessed using diachronic photogrammetric canopy height models

S. Magnussen, M. Fournier, P. Lejeune, 2017, Annals of Forest Science.

Effects of ozone on yield, growth, and root starch concentrations of two alfalfa (Medicago sativ A L.) cultivars.

G. Allard, J. Renaud, Y. Mauffette, 1997, Environmental pollution.

Developmental Priming of Stomatal Sensitivity to Abscisic Acid by Leaf Microclimate

Stuart A Casson, A. Hetherington, B. Muller, 2013, Current Biology.

RegisTree: a registration algorithm to enhance forest inventory plot georeferencing

C. Véga, J. Renaud, Maryem Fadili, 2019, Annals of Forest Science.

Multisource forest inventories: A model-based approach using k-NN to reconcile forest attributes statistics and map products

C. Piedallu, C. Véga, J. Renaud, 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

Dendrometric data from the silvicultural scenarios developed by Office National des Forêts (ONF) in France: a tool for applied research and carbon storage estimates

A. Bouvet, P. Dreyfus, J. Renaud, 2022, Annals of Forest Science.

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.

Photoassimilate allocation and photosynthetic and biochemical characteristics of two alfalfa (Medicago sativa) cultivars of different ozone sensitivities

G. Allard, J. Renaud, E. Laitat, 1998 .

The dual effect of abscisic acid on stomata.

B. Muller, T. Simonneau, B. Genty, 2013, The New phytologist.

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.

High Resolution Mapping of Forest Resources and Prediction Uncertainty using Multisource Inventory Approach

C. Piedallu, C. Véga, J. Renaud, 2021 .

Increasing Precision for French Forest Inventory Estimates using the k-NN Technique with Optical and Photogrammetric Data and Model-Assisted Estimators

Ronald E. McRoberts, Jean-Pierre Renaud, Cédric Véga, 2019, Remote. Sens..

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 .

The relationships of crown dieback with carbohydrate content and growth of sugar maple (Acersaccharum)

J. Renaud, Y. Mauffette, J.-P. Renaud, 1991 .

Multidimensional scaling of first-return airborne laser echoes for prediction and model-assisted estimation of a distribution of tree stem diameters

S. Magnussen, J. Renaud, 2016, Annals of Forest Science.

A new small area estimation algorithm to balance between statistical precision and scale

Olivier Bouriaud, Cédric Véga, Jean-Pierre Renaud, 2021, Int. J. Appl. Earth Obs. Geoinformation.

A functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds

Terje Gobakken, Erik Næsset, Steen Magnussen, 2016 .

Modelling forest volume with small area estimation of forest inventory using GEDI footprints as auxiliary information

P. Barbillon, C. Véga, J. Renaud, 2022, Int. J. Appl. Earth Obs. Geoinformation.

RegisTree: a registration algorithm to enhance forest inventory plot georeferencing

C. Véga, J. Renaud, Maryem Fadili, 2019, Annals of Forest Science.

Laos in the 1920s: The Gods, Monks and Mountains of Laos

J. Renaud, W. Tips, P. Deloncle, 2011 .

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 .