Rubber plantations have rapidly replaced natural forests (NFs) in Mainland Southeast Asia, yet the relevant impacts on the terrestrial carbon cycle remain uncertain especially with an increase in drought frequency. Our study compared eddy-covariance measurements of carbon and water fluxes from two rubber monoculture plantations (at a northern margi...
Multi-environment trials are routinely conducted around the world to select superior cultivars; the numbers of replicates and locations remains insufficiently studied despite their effects on trial efficiency and cost. The objective of the present study was to compensate for the mentioned lack by dealing with the specific case of cotton in arid con...
Many biological quantities cannot be measured directly but rather need to be estimated from models. Estimates from models are statistical objects with variance and, when derived simultaneously, covariance. It is well known that their variance–covariance (VC) matrix must be considered in subsequent analyses. Although it is always preferable to carry...
Key message: Based on an empirical dataset originating from the French Douglas-fir breeding program, we showed that the bidimensional autoregressive and the two-dimensional P-spline regression spatial models clearly outperformed the classical block model, in terms of both goodness of fit and predicting ability. In contrast, the differences between ...
Vibration-based damage localization has become an important issue for Structural Health Monitoring (SHM). Particularly, the Stochastic Dynamic Damage Locating Vector (SDDLV) method is an output-only damage localization method based on both a Finite Element (FE) model of the structure and modal parameters estimated from output-only measurements in t...
One of the major research areas in computer vision is visual surveillance. The scientific challenge in this area includes the implementation of automatic systems for obtaining detailed information about the behavior of individuals and groups. Particularly, detection of abnormal individual movements requires sophisticated image analysis. This thesis...
We study the challenging problem of tracking an arbitrary object in video sequences with no prior knowledge other than a template annotated in the first frame. To tackle this problem, we build a robust tracking system consisting of the following components. First, for image region representation, we propose some improvements to the region covarianc...
Eucalyptus grandis plantations in Brazil are among the most productive forests of the world, reaching mean annual increments of about 50 m3/ha/yr over short (6 yr) rotations. Carbon, water, and nutrients budgets in one of these plantations were investigated through continuous eddy-covariance measurements of water vapor and CO2 fluxes over a 5-yr pe...
Ces technologies ont poussé les chercheurs à imaginer la possibilité d'automatiser et émuler les capacités de perception visuels des animaux et de l'homme lui-même. Depuis quelques décennies le domaine de la vision par ordinateur a essayé plusieurs approches et une vaste gamma d'applications a été développée avec un succès partielle: la recherche d...
La variabilité inter-individuelle est un obstacle majeur à l'analyse d'images médicales, en particulier en neuroimagerie. Il convient de distinguer la variabilité naturelle ou statistique, source de potentiels effets d'intérêt pour du diagnostique, de la variabilité artefactuelle, constituée d'effets de nuisance liés à des problèmes expérimentaux o...
