Jon Atherton

  • PL 27 (Latokartanonkaari 7)

    00014

    Finland

  • Viikinkaari 1, Biocentre 3

    00790 Helsinki

    Finland

20132019

Research output per year

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Personal profile

Description of research and teaching

Current areas of research interest:

  • Remote sensing:
  1. Chlorophyll fluorescence, from leaf to landscape
  2. Field and automated canopy spectroscopy 
  3. Physiological optics (e.g. Photochemical Reflectance Index)
  4. Physically-based modelling techniques
  • Ecophysiology:
  1. Photosynthesis
  2. BVOCs
  • Modern software and hardware in Environmental Science:
  1. Data science and associated languages (Python numerical stack and R)
  2. Affordable instrumentation development (e.g. RPI) 
  3. Promoting up-to-date software practice (e.g. version control)

I am instructing on "Environmental Data Science" which covers some of the practical aspects of working with data in R and Python. We use Jupyter notebooks for course content which you can find on our lab's github:

https://github.com/OptPhotLab/EnvDataSciNotebooks

https://github.com/OptPhotLab/EnvDataSciNotebooksPython

 

 

Fields of Science

  • 1172 Environmental sciences
  • Remote sensing
  • 4112 Forestry
  • Tree growth

International and National Collaboration

Publications and projects within past five years.
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