Master Student Internship in Mapping Ecosystem Water Use and Stress by Integrating Thermal and Microwave Remote Sensing (M/F)

Référence : ERIN-2018-INTERN_027

Type: Stagiaire
Type de contrat: Stage
Durée: 4-6 months
Lieu de travail: Belvaux

Contexte

 

Droughts may cause loss vegetation productivity and ecosystem services, and are thus an important socio-economic risk. Even moderate droughts (as they occasionnally occur in Luxembourg) and transient heat stress alter the plant physiological functioning (e.g., transpiration and photosynthesis), and thus may have an effect on the spectral response of plants both in visible and thermal infrared domain of electromagnetic spectrum. Plant and soil properties like soil moisture, fAPAR, canopy temperature and evapotranspiration are typically interlinked. However, the nature of these relations along gradients of geomorphology, soil type and vegetation type is not well understood. On the other side, the interference of frequent clouds put a major problem in the use of thermal and optical remote sensing. Given the cloud proof characteristics of microwave remote sensing, we aim to integrate visible-thermal infrared with microwave remote sensing and use their synergy. We explore the impact of spatial variability of soil moisture, vegetation, and geomorphology on the vegetation water use and stress in a forested catchment in Luxembourg.

Maps of biophysical variables derived from optical, thermal and microwave remote sensing will be validated with ground measurements (available for about 40 plots). The spatial relations between those variables will be analysed, interpreted and reported.

 

Description

 

Tasks:

  • Download and pre-processing of satellite images
  • Derivation of fAPAR from optical remote sensing data
  • Derivation of land surface temperature from thermal satellite data
  • GIS analysis (map overlay, value extraction, point interpolation)
  • Statistical analysis

 


Profil

 

Education

  • Be a last year undergratuated student (Master 2)

Competencies

  • Good knowledge in remote sensing
  • Be ambitious and motivated
  • Enjoying working in a team and running field experiments

Language

  • Fluent in English (spoken and written)

 

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ERIN-2018-INTERN_027


 

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Contact

 Carlos LOPEZ-MARTINEZ
Carlos LOPEZ-MARTINEZ

Dr Martin SCHLERF
Dr Martin SCHLERF

 Stéphanie LUCADELLO
Stéphanie LUCADELLO