Alemu Gonsamo, Post Doctoral Fellow

Alemu Gonsamo

Home Campus:
U of T St. George

PhD:
University of Helsinki, Finland (2010)

Other Degrees:
M. Sc. Wageningen University, The Netherlands (2006)
B. Sc. Debub University, Ethiopia (2002)

Contact Information:

Phone: +1 416 946 7715
Office: Room 307b (45 St. George)
E-mail: gonsamoa@geog.utoronto.ca

Personal Website: http://individual.utoronto.ca/gonsamo/

Research Interests:

  • Remote Sensing and Geographical Information Science
  • Terrestrial Carbon Cycle Modelling
  • Biosphere responses to climate change

Selected Publications:

  • Gonsamo A., J.M. Chen, and C. Wu (2013). Citizen Science: linking the recent rapid advances of plant flowering in Canada with climate variability. Nature Scientific Reports, 3, 2239.
  • Gonsamo, A., and J.M. Chen (2013). Improved LAI algorithm implementation to MODIS data by incorporating background, topography and foliage clumping information. IEEE Transactions on Geoscience and Remote Sensing, in press.
  • Gonsamo A., J.M. Chen, C. Boisvenue, W.A. Kurz, D.T. Price, C. Wu, R.A. Hember & K.H. Chang (2013). New assessment of gross and net primary productivity of Canada’s landmass. Journal of Geophysical Research – Biogeosciences, in press
  • Gonsamo, A., J.M. Chen, and P. D’Odorico (2013). Deriving land surface phenology indicators from CO2 eddy covariance measurements. Ecological Indicators, 29, 203-207.
  • Gonsamo A., and J.M. Chen (2013). Spectral response function comparability among 21 satellite sensors for vegetation monitoring. IEEE Transactions on Geoscience and Remote Sensing, 51, 1319-1335.
  • Gonsamo, A., J. M. Chen, D. T. Price, W. A. Kurz, and C. Wu (2012). Land surface phenology from optical satellite measurement and CO2 eddy covariance technique. Journal of Geophysical Research – Biogeosciences, 117, G03032.
  • Gonsamo, A., J.M. Chen, C. Wu, and D. Dragoni (2012). Predicting deciduous forest carbon uptake phenology by upscaling FLUXNET measurements using remote sensing data. Agricultural and Forest Meteorology, 165, 127-135.

Research Clusters:
Climate Processes and Climate and Carbon Cycle Modelling, Earth-Surface Processes and Hydrology, Nature, Society and Environmental Change