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CZECHGLOBE
Global Change Research Institute, CAS
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Ing. Lucie Homolová, Ph.D.

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Position: Scientist

Branch: Department of Remote Sensing

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

Email: homolova.l@czechglobe.cz

Phone: +420 511 192 227

Research Focus

  • Remote sensing of vegetation

  • Imaging and field spectroscopy

  • Measurements of leaf optical properties and their connection to structural and ecophysiological foliage properties

  • Calibration / validation of vegetation products

  • Radiative transfer modelling for interpretation of remote sensing images

  • Retrieval methods of vegetation properties from remote sensing

Education

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

Appointments

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

Membership

Marie Curie Alumni Asssociation

Brief scientometrics

Publication overview: https://orcid.org/0000-0001-7455-2834 

41 peer-reviewed publications, H-index 15 (according to Scopus, 07/2024)

Selected publications:

Švik M, Lukeš P, Lhotáková Z, Neuwirthová E, Albrechtová J, Campbell PE, et al. (2023) Retrieving plant functional traits through time series analysis of satellite observations using machine learning methods. International Journal of Remote Sensing 44(10):3083–105. https://doi.org/10.1080/01431161.2023.2216847

Hovi A, Schraik D, Kuusinen N, Fabiánek T, Hanuš J, Homolová L, et al. (2023) Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance. Remote Sensing of Environment 293:113610. https://doi.org/10.1016/j.rse.2023.113610

Hanuš J, Slezák L, Fabiánek T, Fajmon L, Hanousek T, Janoutová R, et al. (2023) Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research. Remote Sensing15(12):3130. https://doi.org/10.3390/rs15123130

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. https://doi.org/10.1016/j.foreco.2021.119984 

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. https://doi.org/10.14214/sf.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. https://doi.org/10.1016/j.jag.2021.102335

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. https://doi.org/10.3390/f11030268

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. https://doi.org/10.1007/s10712-019-09534-y

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. https://doi.org/10.3390/f10030292

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. https://doi.org/10.3390/rs10020207