Context of intervention
Nitrogen fertilization is of high importance in crop production but can meanwhile have a negative impact on the environment. Currently, the exceedance of critical values of nitrate in the ground water endangers health and has led to a complaint by the European Commission. Consequently, nitrogen fertilization should be adapted to plants' needs. New remote sensing data like SENTINEL-2 with high spatial and high spectral resolution can give information on plants' status and can be used to create application maps for the farmers. The hired researcher will work o 2 projects:
- Aim of the YPANEMA project is to analyse the N-status of wheat by using model inversion techniques (PROSAIL) and SENTINEL-2 data. The relevant field data will be acquired during several field campaigns. The trial site is located in the Champaign in France.
- Aim of the BIOSCOPE project is to validate image based methods for plant nitrogen retrieval retrieved over a fertilisation experiment on potato crop
The applicant's main mission is to provide state of the art work related to a given research thematic or technology to manage the daily research work allowing the smooth progress of the RDI projects. The main tasks are:
- Parameterise a vegetation radiative transfer model and setup an inversion scheme
- Process a series of Sentinel-2 images
- Validate crop parameters using field measurements and produce relevant crop nitrogen maps
In addition she/he will assist in the preparation of project reports and presentations.
- Master of Science or and equivalent degree in geosciences, environmental sciences, geography or in a related discipline with a special focus on advanced quantitative remote sensing
Competencies The candidate should have substantial expertise in:
- Processing of multispectral satellite images
- Radiative transfer modelling and model inversion
- Programming (Matlab, R, IDL)
- Design and sampling of field data
The position requires well-developed oral and written communication skills, team spirit and the willingness to travel.
- The candidate must be fluent in English (scientific exchanges); knowledge of French or German is an advantage
- Esch-sur-Alzette, Luxembourg