Junior R&T Associate in Remote Sensing
for (Precision) Agriculture (M/F)


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

Description

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.

Profile

Education

  • 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.

Language

  • The candidate must be fluent in English (scientific exchanges); knowledge of French or German is an advantage

Location

  • Esch-sur-Alzette, Luxembourg

posted: 23 May 2017     Please mention EARTHWORKS when responding to this advertisement.