Dr. Anita Simic
Education & Experience:
Ph.D., University of Toronto, 2005 - 2009
M.S., University of Toronto, 2000 - 2002
H.B.S., University of Toronto, 1994 – 1998
• Bowling Green State University; School of Earth, Environment and
Society – Assistant Professor, 2013 - present
• University of Victoria, Canada -- Limited Term Senior Instructor, 2012
• Institut National de la Recherche Agronomique (INRA), France -- Postdoctoral position, 2010 – 2012
• University of Toronto, Canada -- Postdoctoral Research Fellow, 2010; Research Associate, 2005; Sessional Instructor, 2005 - 2010
• Ryerson University, Canada -- Sessional Instructor, 2005-2010
• Wuhan University, China -- Sessional Instructor 2009
• Canada Centre for Remote Sensing, Canada (CCRS) -- Research Scientist 2002-2005
• O’Connor Associates Environmental Inc., Canada-- Geoscience Project Manager, 1997 - 2000
Specialty Areas of Interest:
Remote sensing and GIS applications
Vegetation and soil science
Hydrology and water resources
Environmental resources mapping and modeling
Current BGSU Courses:
Recent and Current Research or Grants:
World Bank (WB) and Ministry of Science and Education
Principal Investigator, 2008 – 2010
Received amount: 20 000 euros (research funded by WB and Croatian government) Title: Remote Sensing Applications in Monitoring Vineyards and Olive Fields
European Space Agency (ESA) and Canada Space Agency (CSA)
Co-Investigator, 2005 - 2009
Received amount: CAN $140 000 (research funded by CSA) Title: Refining the Concept of Combining Hyperspectral and Multi-angle Sensors for Land Surface Applications
Recent Peer Reviewed Publications and Submissions:
SIMIC, A., CHEN, J., LEBLANC, G. S., DYK, A., CROFT, H. and HAN, T. (2013) Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within the empirical approach. IEEE JSTARS (DOI: 10.1109/JSTARS.2013.2271583).
CROFT, H., CHEN, J.M., ZHANG, Y. and SIMIC, A. (2013). Modelling leaf chlorophyll content in broadleaf and needle canopies from ground, Landsat TM 5 and MERIS reflectance data. Remote Sensing of Environment, 133, 128-140.
SIMIC, A., CHEN, J.M. and NOLAND, T.L. (2011). Retrieving leaf chlorophyll content with improved structural parameters: an analysis of the refined concept of combining hyperspectral and multi-angle data, International Journal of Remote Sensing, 32 (20), 5621-5644.
PISEK, J., CHEN, J.M., MILLER, J.R., FREEMANTLE, J.R., PELTONIEMI, J.I. and SIMIC, A. (2010). Mapping forest background reflectance in a boreal region using multi-angle Compact Airborne Spectrographic Imager (CASI) data, IEEE Transactions on Geosciences and Remote Sensing, 48 (1, 2), 499-510.
SIMIC, A., CHEN, J.M., FREEMANTLE, J., MILLER, J.R. and PISEK, J. (2010). Improving clumping and LAI algorithms based on multi-angle airborne and ground measurements, IEEE Transactions on Geosciences and Remote Sensing, 48 (4, 1), 1742-1759.
SIMIC, A. and CHEN, J.M. (2008). Refining a Hyperspectral and Multi-angle concept for vegetation parameters assessment, Canadian Journal for Remote Sensing, 34-3, 174-191.
SIMIC, A., CHEN, J.M., LIU, J. and CSILLAG, F. (2004). Spatial scaling of net primary productivity using sub-pixel information, Remote Sensing of Environment, 93-1, 246-258.
SIMIC, A., FERNANDES, R., BROWN, R., ROMANOV, P. and PARK, W. (2004). Validation of Vegetation, Modis and GOES+SSM/I snow cover products over Canada based on surface snow depth observations, Hydrological Processes, 18, 1089-1104.