Offre postdoctorale en télédétection/géomatique à Toulouse
Nous recherchons toujours un post-doc sur un projet TOSCA (HyperBio) dédié à la simulation d'images hyperspectrales Hypxim et à la reconnaissance d'essences arborées à partir de celles-ci.
N'hésitez pas à diffuser largement cette offre non pourvue (jeudi 14 septembre 2017).
L'offre de 4 pages et les contacts pour postuler n'ont pas été retranscrits intégralement, veuillez s.v.p. vous référer aux pièces ci-jointes.
___
Title of the position: PERFORMANCE ANALYSIS OF A SPACE BORNE IMAGING SPECTROMETER FOR THE IDENTIFICATION OF TREE SPECIES AND CHARACTERIZATION OF BIODIVERSITY
Duration of the contract: 12 months (renewable)
Starting from: 15/09/2017
Host lab: DYNAFOR Lab. (INRA/INP Toulouse), 31326 Castanet-Tolosan
Description of the position: During the first year, the selected candidate is expected to take charge of the processing of the hyperspectral data. More precisely, he/she will:
-
Explore the information content of the different datasets, and derive vegetation properties of interest based on a set of methodologies including supervised classification of tree species, and unsupervised mapping of biodiversity metrics.
-
Use COMANCHE and COCHISE tools in order to simulate TOA images following a set of scenarios of image acquisition, including changes in atmospheric properties and various instrumental specifications (spatial, spectral and radiometric characteristics). Each set of scenarios will be specific to the type of vegetation (temperate/tropical environment) and will need to be defined. The spectral information content of the resulting image database will be analyzed in order to characterize spectral properties of the different configurations, including spectral separability with respect to signal-to-noise ratio.
- Master’s or Engineer’s degree / PhD degree in remote sensing, image/signal processing, or physics
-
Experience in imaging spectroscopy analysis required. If possible with expertise in vegetation studies: tree species discrimination, diversity mapping, estimation of vegetation properties
-
Proficiency in programming with experience in Python (if possible experience with R language)
-
Good understanding of radiation physics, atmospheric modeling
-
Ability to interact in a multi-disciplinary scientific environment (image processing,
ecology, physics)
-
Production of scientific articles for publication in international journals
___
L'offre intégrale en format PDF est disponible auprès de : audrey.moffett@ete.inrs.ca
