Jan Verbesselt

 
       General Information  
         
  Name:   Jan Verbesselt  
  Function(s):   Post-doc  
  Address:   (Building 101)
Droevendaalsesteeg 3
6708 PB Wageningen
 
  Room:   C316  
  Correspondence:   P.O. Box 47
6700 AA Wageningen
The Netherlands
 
  Telephone:   +31 317 485268  
  Fax:   +31 317 419000  
  E-mail:   Jan.Verbesselt@wur.nl  
  Research school:  

Production Ecology & Resource Conservation (PE&RC)

 
  We@WUR:   Business card  
         
         
      Teaching Subjects  
         
  GRS 20306   Remote Sensing   
  GRS 32306    Advanced Earth Observation   
  GRS 60312    Remote Sensing and GIS Integration   
  GRS 8040X    Thesis Geo-Information Science and Remote Sensing   
         
         
      PhD Students  
         
  PhD    J. Reiche: Synergy of optical and radar time series data for large area for change assessments in the tropical countries (2011-15).  
  PhD    M. Schultz: Studying land use and climate change dynamics with satellite image time series data (2011-2015)  
  PhD    K. Calders: Applying terrestrial LiDAR to measure vegetation characteristics and improve remote sensing monitoring applications (2010-2014)   
         
         
      Research Projects  
         
      Ongoing  
  EU    Marie Curie (IRG): – StrucCHANGE: Assessing vegetation structural change by integrating terrestrial lidar data and satellite image time series via radiative transfer models   
  WU    Ground based LIDAR for Remote Sensing Cal/Val (2010-2014)   
  EU    FP7 RECOVER: Science based remote sensing services to support REDD and sustainable forest management in tropical region (2010-14)  
         
      Recently finished   
      Post-doctoral research fellowship CSIRO, Australia   
         
         
      Publications  
         
  All WUR   Automatic overview of all WUR related publications  
      Overview of all papers and bookchapters 

Jan Verbesselt's bibliography 
 
         
         
      Developed Software  
         
      BFAST package for R: Provides methods for detecting, dating, and characterising changes within time series   
       
      The R packages and code may be freely copied and used. No guarantee of their reliability is given. If any errors are found, please let me know.  
         
         
      Fields of interest  
         
      Global forest and land monitoring  
      Time series based change detection and prediction of vegetation dynamics  
      Calibration and validation of remote sensing data and products  
      Terrestrial Lidar Analysis and radiative Transfer modelling  
      Forest cover changes and carbon dynamics for REDD  
      Land use and climate change interaction  
      Open source software (R, MySQL, Linux, PostGIS)   
         
         
  
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Jan Verbesselt
jan.verbesselt@wur.nl
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