Remote sensing science

   

This field deals with quantitative, physical and statistical based retrieval of land surface parameters relevant for multiple monitoring applications and earth system modelling. Activities are ongoing at the WU remote sensing chair group to advance foundations for quantitative land remote sensing and to improve in-situ data analysis for the next generation remote sensing data and products.
Particular attention is paid to the use of innovative in-situ and laboratory measurements (WUR plant facility, ground-based LIDAR, sensor webs), radiative transfer models, vegetation indices, data assimilation methods, linking soil-vegetation-atmosphere transfer models, soil spectroscopy and calibration and validation procedures. Our remote sensing scientific research is underpinned by expertise in using advanced earth observation techniques (i.e. imaging spectroscopy and LIDAR) in combination with ecological and dynamic vegetation models for applications like biodiversity assessment at habitat and ecosystem level as well as assessing vegetation characteristics and carbon stocks and sensing techniques for precision farming.

PhD projects:

Other projects:

Recently finished projects:

Key publications:

 

  
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Jan Clevers
jan.clevers@wur.nl
 
Harm Bartholomeus
harm.bartholomeus@wur.nl
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