Publications

Publications

·    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.