Dr. Anita Simic Milas


  • Position: Associate 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

  • University of Toronto - Visiting Professor 2021
  • Bowling Green State University Ohio - Assistant Professor 2013 - 2019
  • 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 2005-2017
  • Wuhan University China - Sessional Instructor 2009
  • Canada Centre for Remote Sensing, Canada (CCRS) - Research Scientist 2002-2005
  • O’Connor Associates Environmental Inc., Canada - Geoscientist 1997 - 2000

Professional Interests

REMOTE SENSING and GIS applications for:
Vegetation and soil science
Hydrology and water resources
Water quality
Bioenergy sustainability
Environmental resources

Recent Professional Achievements

Director :
SPatial LITeracy - SPLIT Remote Sensing Professional School
Editor :
International Journal of Remote Sensing / Drones section

Current BGSU Courses

Graduate courses 
Remote Sensing of Environment
Applied Remote Sensing 

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

Employers of students under supervision of Prof. Simic Milas:

ORNL, Department of Energy, Tennessee
University of Calgary, Canada
Equifax, St. Louis
BGSU, Bowling Green, OH
Conservation Legacy, Pennsylvania
Ohio State University
Satelytics, Toledo
Ceres Imaging, California
Woolpert, Dayton
U.S. Geological Survey, Kentucky
Bayer – Monsanto, Missouri

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


SENEVIRATHNE CK, SIMIC MILAS A, LIU G, YACOBUCCI MM. 2022. Effects of increasing C4-crop cover and stomatal conductance on evapotranspiration: Simulations for a Lake Erie watershed. Remote Sensing, 14, 8. 1914; https://doi.org/10.3390/rs14081914.

LARSON MD, SIMIC MILAS A, VINCENT RK, EVANS JE. 2021. Landsat 8 monitoring of multi-depth suspended sediment concentration in Lake Erie's Maumee River using machine learning. International Journal of Remote Sensing, 21, 11. 4064-4086.

ZHOU D, SIMIC MILAS A, YU J, ZHU L, CHEN B, MUHETAER N. 2020. Integrating RELAX with PS-InSAR technique to improve identification of persistent scatterers for land subsidence monitoring. Remote Sensing, 12, 2730; https://doi.org/10.3390/rs12172730.

JURJEVIC L, GASPAROVIC M, SIMIC MILAS A, BALENOVIC I. 2020. Impact of UAS Image Orientation on Accuracy of Forest Inventory Attributes. Remote Sensing, 12, 404, doi:10.3390/rs12030404, https://www.mdpi.com/2072-4292/12/3/404.

CROFT H, CHEN JM, WANG R, MO G, LUO S, LUO X, HE L, GONSAMO A, ARABIAN J, ZHANG Y, SIMIC MILAS A, et al. 2020. The global distribution of leaf chlorophyll content. Remote Sensing of Environment, 236, 111479.

SIMIC MILAS A, WARNER TA, YOUNAN NH, BALENOVIC I, LARSON MD. 2019. Preface for the spatial issue of IJRS Drones section in conjunction with the 6th UAS4Enviro conference. International Journal of Remote Sensing, 40 (24) (https://doi.org/10.1080/01431161.2019.1658409).

ABEYSINGHE T, SIMIC MILAS A, AREND K, HOHMAN B, REIL P, GREGORY A, VAZQUEZ-ORTEGA A. 2019. Mapping invasive Phragmites australis in the Old Woman Creek Estuary using UAV remote sensing and machine learning classifiers. Remote Sensing, 11 (11), https://doi.org/10.3390/rs11111380.

BALENOVIC I, JURJEVIC L, SIMIC MILAS A, GASPAROVIC M, IVANKOVIC D, SELETKOVIC A. 2019. Testing the applicability of the official Croatian DTM for normalization of UAV-based DSMs and plot-level tree height estimations in lowland forest. Croatian Journal of Forest Engineering, 40 (1), 163-174.

SIMIC MILAS A, CRACKNELL AP, and WARNER TA. 2018. Drones-the third generation source of remote sensing. International Journal of Remote Sensing, 39(21):7125-7137. DOI: 10.1080/01431161.2018.1523832.

RUPASINGHE PA, SIMIC MILAS A, AREND K, SIMONSON MA, MAYER C, MACKEY SC. 2018. Classification of shoreline vegetation in the Western Basin of Lake Erie using airborne hyperspectral imager HSI2, Pleiades and UAV data. International Journal of Remote Sensing, https://doi.org/10.1080/01431161.2018.1539267.

SIMIC MILAS A. 2018. Paradigm Shift in Education: Spatial Literacy. PE&RS, The American Society for Photogrammetry & Remote Sensing, May 2018 (http://www.asprs.org/a/publications/pers/2018journals/PERS_May2018_Public/HTML/files/assets/basic-html/page13.html)

SIMIC MILAS A, SOUSA JJ, WARNER T, TEODORO AC, PERES E, GONCALVES JA, GARCIA JD, BENTO R, PHINN S, WOODGET A. 2018. Preface: Unmanned Aerial Systems (UAS) for Environmental Applications Special Issue. International Journal of Remote Sensing - Drones Section (https://doi.org/10.1080/01431161.2018.1491518).

LARSON D M, SIMIC MILAS A, VINCENT KELLER R, EVANS J. 2018. Multi-depth suspended sediment estimation using high resolution remote sensing UAV in Maumee River, Ohio. International Journal of Remote Sensing, DOI: 10.1080/01431161.2018.1465616.

SIMIC MILAS A, ROMANKO M, REIL P, ABEYSINHE T, MARAMBE A. 2018. The importance of leaf area index in mapping chlorophyll content of corn using UAV images. International Journal of Remote Sensing, DOI: 10.1080/01431161.2018.1455244.

BALENOVIC I, GASPAROVIC M, SIMIC MILAS A, BERTA ALEN, SELETKOVIC ANTE. 2018. Accuracy assessment of digital terrain models of lowland pendunculate oak forest derived from airborne laser scanning and photogrammetry. Croatian Journal of Forest Engineering, 39 (1), 117-128. 

BALENOVIC I, SIMIC MILAS A, MARJANOVIC H. 2017. A Comparison of Stand-Level Volume Estimates from Image-Based Canopy Height Models of Different Spatial Resolutions. Remote Sensing, 9(3), 205; doi:10.3390/rs9030205. http://www.mdpi.com/2072-4292/9/3/205.

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.

Lekki et al. (SIMIC A). 2017. Airborne Hyperspectral Sensing of Monitoring Harmful Algal Blooms in the Great Lakes Region: System Calibration and Validation, NASA Technical Report: https://ntrs.nasa.gov/search.jsp?R=20170002298.

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.

Updated: 04/19/2022 10:19PM