Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment

PhD candidate Global biodiversity variables for monitoring ecosystem structure and function, Twente University

Application deadline: 14 March 2019

The aim of this PhD project is to generate globally applicable biodiversity variables for monitoring Ecosystem Structure and Function (as defined by Pereira et al. (2013) and Skidmore et al. (2015)) from satellite and airborne remotely sensed data sets. In combination with the supervisor, you will develop innovative image processing techniques for estimating ecosystem structural and functional biodiversity variables with an emphasis on monitoring old growth forests, using airborne and satellite remotely sensed, as well as in situ and ancillary data. Next generation satellite remote sensing imagery (hyperspectral and LiDAR) will be the focus of the research, coupled with high resolution archived time series optical imagery. The biodiversity variables will be tested for their relevance for monitoring species presence and abundance. The research will result in a PhD thesis.

Your profile

  • You are a MSc-level graduate in geo-information science, remote sensing or computer science with a background and knowledge of natural resources (biology, forestry, environment, geography, agriculture, soil science, water resources, etc.)
  • You have an excellent command of English (above IELTS 7.5 or equivalent).
  • You have experience in time series optical, hyperspectral and LiDAR imagery
  • Programming skills (preferably Python, IDL/ENVI, MATLAB and/or R) are highly desirable.

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Wednesday 16 January 2019