Dr. Anita Simic


Position: Assistant Professor
Phone: 419-372-4035
Email: asimic@bgsu.edu
Address: 190 Overman Hall


Education & Professional Experience

PhD    University of Toronto 2005 - 2009
MSc    University of Toronto 2000 - 2002
HBSc   University of Toronto 1994 - 1998

• Bowling Green State University Ohio - Assistant Professor 2013 - present
• University of Victoria Canada - Limited Term Senior Instructor 2012 - 2013
• Institut National de la Recherche Agronomique (INRA) - France - Postdoctoral Fellow 2010 - 2012
• University of Toronto - Research Associate 2005 - Sessional Instructor 2005 - 2010
• Ryerson University Canada - Sessional Instructor 2005-2016
• 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

Professional Interests

Remote sensing and GIS applications for:
Vegetation and soil science
Hydrology and water resources
Bioenergy sustainability
Environmental resources 

Recent Professional Achievements

SPLIT - SPatial LITeracy Summer School - Director 2014 - present
OHIO VIEW - Deputy Director 2015 - present

Guest editor 
International Journal of Remote Sensing
Remote Sensing Applications: Society and Environment 

Current BGSU Courses

Graduate courses 
 Remote Sensing of Environment
Applied Remote Sensing 
Independent Study

Undergraduate courses 
 Remote Sensing of Environment
Quantitative Methods
Geographic Information Science 
Introduction to Environmental Studies 

Recent and Current Research Grants

NOAA / ODNR / University of Toledo USA
America View / USGS USA
Bowling Green State University OHIO
World Bank / Ministry of Science and Education Croatia
European Space Agency / Canada Space Agency


JIAO S, YU J, SIMIC MILAS A, LI X, LIU L. 2017. Assessing the Impact of Building Volume on Land Subsidence in the Central Business District of Beijing with SAR Tomography. Canadian Journal of Remote Sensing, http://dx.doi.org/10.1080/07038992.2017.1291335.

SIMIC MILAS A, AREND K, MAYER C, SIMONSON MA,  MACKEY S. 2017. Different Colors of Shadows: Classification of UAV images. International Journal of Remote Sensing, http://dx.doi.org/10.1080/01431161.2016.1274449

SIMIC MILAS A, VINCENT RK. 2016. Monitoring Landsat vegetation indices for different crop treatments and soil chemistry. International Journal of Remote Sensing, 38(1): 141-160. DOI: 10.1080/01431161.2016.1259680.

ILANGAKOON NT, GORSEVSKI PV, SIMIC MILAS, A. 2015. Estimating Leaf Area Index by Bayesian Linear Regression Using Terrestrial LiDAR, LAI-2200 Plant Canopy Analyzer, and Landsat TM Spectral Indices. Canadian Journal of Remote Sensing, 41, 315–333.

SIMIC MILAS A. 2015. Variability in the fraction of intercepted photosynthetically active radiation: Effects of irradiance conditions and temporal scales. Journal of Global Ecology and Environment, 2, (3), 140-154.

GORSEVSKI PV, BROWN KM, PANTER K, ONASCH CM, SIMIC A, SNYDER J. 2015. Landslide Detection and Susceptibility Mapping using LiDAR and Artificial Neural Network Approach: a Case Study in the Cuyahoga Valley National Park, Ohio. Landslides, DOI: 10.1007/s10346-015-0587-0 (Print ISSN 1612-510X; Online ISSN 1612-5118).

SIMIC MILAS A, RUPASINGHE P, BALENOVIC I, GORSEVSKI P. 2015. Assessment of Forest Damage in the mountainous area of Croatia using Landsat-8. SEEFOR, 6(2), e1-e11. DOI: http://dx.doi.org/10.15177/seefor.15-14.

CROFT H, CHEN MJ, ZHANG Y, SIMIC A, NOLAND T, NESBITT N. 2015. Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework. ISPRS Journal of Photogrammetry and Remote Sensing, 102, 85-95.

SIMIC A, FERNANDES R, WANG S. 2014. Assessing the impact of leaf area index on evapotranspiration and groundwater recharge across a shallow water region for diverse land cover and soil properties. Journal of Water Resources and Hydraulic Engineering, 3, (4), 60-73.

SIMIC A, CHEN J, LEBLANC GS, DYK A, CROFT H, 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, 7, 92-104.

CROFT H, CHEN JM, ZHANG Y, 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.

PLAZA A, BIOUCAS-DIAS JM, SIMIC A, BLACKWELL WJ. 2012. Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE JSTARS, 5, (2), 347-353. 

SIMIC A, CHEN JM, NOLAND TL. 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 JM, MILLER JR, FREEMANTLE JR, PELTONIEMI JI, 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 JM, FREEMANTLE J, MILLER JR, 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, CHEN JM. 2008. Refining a Hyperspectral and Multi-angle concept for vegetation parameters assessment. Canadian Journal for Remote Sensing, 34-3, 174-191.

SIMIC A, CHEN JM, LIU J, 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, 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.