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Global Change Research Institute, CAS

Ing. Lucie Homolová, Ph.D.


Position: Scientist

Branch: Department of Remote Sensing

Workplace: ÚVGZ AV ČR, v. v. i.Bělidla 4aBrno603 00


Phone: +420 511 192 227

Research Focus

  • Remote sensing of vegetation
  • Imaging and field spectroscopy
  • Measurements of leaf optical properties
  • Interactions among optical, structural and ecophysiological leaf properties
  • Radiative transfer modelling for interpretation of remote sensing images
  • Retrieval methods of vegetation properties from remote sensing


Ph.D. studies (2008 – 2013) at Wageningen University, The Netherlands

Ph.D. thesis on the topic of imaging spectroscopy for ecological application in forest and grassland ecosystems was supervised by Prof. M.E. Schaepman and Dr. J. Clevers.

M.Sc. studies (1999 – 2006):

Landscape engineering at Czech University of Life Sciences Prague

Geo-information and remote sensing at Wageningen University, The Netherlands

Master thesis on the topic of leaf area index estimation for Norway spruce forest by means of radiative transfer modelling and imaging spectroscopy was supervised by Prof. M.E. Schaepman and Dr. Z. Malenovsky


2014 – současnost: Global Change Research Institute CAS, Brno, Czech Republic, since 2018 leader of Remote Sensing department

2011 – 2012: Remote Sensing Laboratories, University of Zurich, Switzerland

2010 – 2011: Dep. of geoinformatics and remote sensing, University of Warsaw, Poland

2008 – 2010: Specim Ltd., Oulu, Finland

2005 – 2008: Institute of systems biology and ecology, AS CR, Brno, Czech Republic

Important research visits and fellowships

  • Early stage researcher within Marie Currie Research Training Network Hyper-I-Net
  • Erasmus student exchange programme at Wageningen University


Marie Curie Alumni Asssociation

Brief scientometrics

Publication overview:

28 peer-reviewed publications, H-index 12 (according to WoS, 10/2022)

Selected publications:

Bárta V, Hanuš J, Dobrovolný L, Homolová L (2022) Comparison of field survey and remote sensing techniques for detection of bark beetle-infested trees. Forest Ecology and Management, 506: 119984. 

Hovi A, Lukeš P, Homolová L, Juola J, Rautiainen M (2022) Small geographical variability observed in Norway spruce needle spectra across Europe. Silva Fennica, 56(2): 10683.

Bárta V, Lukeš P, Homolová L (2021) Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-2. International Journal of Applied Earth Observation and Geoinformation 100, 102335.

Novotný J, Navrátilová B, Janoutová R, Oulehle F, Homolová L (2020) Influence of site-specific conditions on estimation of forest above ground biomass from airborne laser scanning. Forests 11, 268.

Malenovský Z, Homolová L, Lukeš P,  et al. (2019) Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies. Surv. Geophys. 40, 631–656.

Janoutová R, Homolová L, Malenovský Z, et al. (2019) Influence of 3D Spruce Tree Representation on Accuracy of Airborne and Satellite Forest Reflectance Simulated in DART. Forests 10, 292.

Rautiainen M, Lukeš P, Homolová L, et al. (2018) Spectral Properties of Coniferous Forests: A Review of In Situ and Laboratory Measurements. Remote Sensing 10, 207.

Lukeš P, Homolová L, Navrátil M, Hanuš J (2017) Assessing the consistency of optical properties measured in four integrating spheres. International Journal of Remote Sensing 38, 3817–3830.

Homolová L, Schaepman ME, Lamarque P, et al. (2014) Comparison of remote sensing and plant trait-based modelling to predict ecosystem services in subalpine grasslands. Ecospheres 5(8): art100.

Homolová L, Malenovský Z, Clevers JGPW, García-Santos G, Schapeman ME (2013) Review of optical-based remote sensing for plant trait mapping. Ecological Complexity 15: 1-16.