G. Vincent

Robust characterization of forest structure from airborne laser scanning - a systematic assessment and sample workflow for ecologists

This paper assesses the robustness of canopy height model algorithms using ALS data and provides guidelines for creating reliable CHMs for ecological studies.

Contribution of deep soil layers to the transpiration of a temperate deciduous forest: quantification and implications for the modelling of productivity

This study quantifies deep soil water contribution to transpiration in a temperate forest during drought and highlights the underestimation of soil water holding capacity in existing databases, impacting forest productivity models.

Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN

This paper introduces Detectree2, a deep learning model that accurately segments individual tree crowns in tropical forests from aerial RGB imagery, enabling growth and mortality analysis of large trees.

Leaf area index estimation of even-aged oak (Quercus petraea) forests using in situ stand dendrometric parameters

The paper develops and validates models to estimate leaf area index (LAI) in even-aged oak forests using basal area, age, and quadratic mean diameter, achieving RMSE < 0.75.

Potential of Synthetic Aperture Radar Sentinel-1 time series for the monitoring of phenological cycles in a deciduous forest

This paper uses Sentinel-1 SAR time series to monitor phenological cycles in a deciduous forest, showing that VV/VH ratios can estimate phenological markers with deviations of up to 20 days from observations.

A survey of proximal methods for monitoring leaf phenology in temperate deciduous forests

This paper evaluates eight proximal sensing methods to predict phenological events in a temperate deciduous forest, finding that GCC, NDVI, and CC provide the most accurate estimates of budburst and leaf senescence dates.

\"Green pointillism\": Detecting the within-population variability of budburst in temperate deciduous trees with phenological cameras

This paper quantifies within-population budburst variability using phenological cameras and links it to temperature variations across years.