Offre N° : PRS-21-294

Modeling leaf area dynamics in tropical canopies from high-density UAV lidar

Mots clefs :
Bayesian modelling
Convolutionnal Neural Networks
Tropical forest ecology
Carbon fluxes
Climate vegetation interactions


Type d'accueil : These
Lieu d'accueil : Montpellier & Grenoble
Période d'accueil : October 2021 - September 2024    Durée d'accueil : 3 years
Profil recherché : Highly motivated student holding an MSc degree in statistics, applied statistics, data analysis, or modelling.
Laboratoire d'accueil :
UMR CIRAD-CNRS (5120)-INRA (931)-IRD (123)- Université Montpellier, "botAnique et Modélisation de l'Archtecture des Plantes et des végétations"

Descriptif détaillé de l'offre :

Objet de l'offre :
Leverage advanced statistical methods to produce accurate times series maps of Leaf Area Index from airborne lidar scanning. Analyze co-located gas exchange measurements between forest and atmosphere in light of the newly obtained LAI time-series.

Détail de l'offre
Doc_604b1bb261aa1.pdf
Connaissances requises
Genuine interest in ecology and environmental sciences
Occasional sojourn in the forest (helping with data collection campaigns) encouraged
Good level of written and spoken English or French