Stien Heremans

Stien Heremans

PhD, Researcher remote sensing

  • Herman Teirlinckgebouw, Havenlaan 88 bus 73

    1000 Brussel

    Belgium

20142021

Research activity per year

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Personal profile

Research expertise

Stien Heremans researches the use of remote sensing and machine learning models for deriving information on land use, ecosystem composition and functioning. We focus on information that can be implmented for monitoring and evaluating environmental policy in Flanders. A broad range of imagery can be used, from drones to satellite images. Also, the techniques for transforming these images to useful information are diverse, ranging from mechanistic models over statistical relations to non-parametric machine learning models.

Education/Academic qualification

Applied biological sciences, PhD, KU Leuven

Earth Observation, master, KU Leuven

Bio-engineer, master, KU Leuven

External positions

Postdoctoral researcher, KU Leuven

1-Apr-2020 → …

Thematic list

  • Biological valuation map and Natura 2000 habitat map

EWI Biomedical sciences

  • B390-plant-breeding

disciplinecodelist

  • Environmental monitoring
  • Conservation and biodiversity

Policy

  • local conservation status
  • Natura 2000
  • ecosystem services

Thematic List 2020

  • Protected nature

Technological

  • image analysis
  • detection technology
  • modelling

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