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Global Change Research Institute, CAS

Ing. Růžena Janoutová, Ph.D.


Position: scientist

Branch: Department of Xylogenesis and Biomass Allocation

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


Phone: +420 511 192 295

Research Focus

DART (Discrete Anisotropic Radiative Transfer) model, mathematical modelling, 3D reconstruction of trees, retrieval of vegetation parameters using radiative transfer models, data processing


  • PhD: 2012 – 2017 Brno University of Technology, Faculty of Mechanical Engineering, branch: Applied Mathematics; Thesis:  Modelling 3D Forest Structure for Improved Retrieval of Forest Biophysical Properties
  • Ing (equal to MSc): 2010 – 2012 Brno University of Technology, Faculty of Mechanical Engineering, branch: Mathematical Engineering; Thesis:  Mathematical methods of plants modelling by L-systems
  • Bc (equal to BSc): 2007 – 2010 Brno University of Technology, Faculty of Mechanical Engineering, branch: Mathematical Engineering; Thesis:  Mathematical modelling with L-systems

Important research visits and fellowships

  • half year internship at Cesbio (Centre d’Etudes Spatiales de la BIOsphère) in team of Jean-Philippe Gastellu-Etchegorry
  • 7 weeks at University of Tasmania

Brief scientometrics

Orcid ID: 0000-0003-1830-7556

ResearcherID: G-2755-2014

Selected publications:

  • Malenovský, Z., Regaieg, O., Yin, T., Lauret, N., Guilleux, J., Chavanon, E., Duran, N., Janoutová, R., Delavois, A., Meynier, J., Medjdoub, G., Yang, P., van der Tol, C., Morton, D., Cook, B. D., & Gastellu-Etchegorry, J.-P. (2021). Discrete anisotropic radiative transfer modelling of solar-induced chlorophyll fluorescence: Structural impacts in geometrically explicit vegetation canopies. Remote Sensing of Environment263, 112564.

  • Janoutová, R., Homolová, L., Novotný, J., Navrátilová, B., Pikl, M., & Malenovský, Z. (2021). Detailed reconstruction of trees from terrestrial laser scans for remote sensing and radiative transfer modelling applications. In Silico Plants3(2).

  • Lhotáková, Z., Kopačková-Strnadová, V., Oulehle, F., Homolová, L., Neuwirthová, E., Švik, M., Janoutová, R., & Albrechtová, J. (2021). Foliage Biophysical Trait Prediction from Laboratory Spectra in Norway Spruce Is More Affected by Needle Age Than by Site Soil Conditions. Remote Sensing13(3), 391.

  • Lukeš, P., Neuwirthová, E., Lhotáková, Z., Janoutová, R., & Albrechtová, J. (2020). Upscaling seasonal phenological course of leaf dorsiventral reflectance in radiative transfer model. Remote Sensing of Environment246, 20.

  • Švik, M., Oulehle, F., Krám, P., Janoutová, R., Tajovská, K., & Homolová, L. (2020). Landsat-Based Indices Reveal Consistent Recovery of Forested Stream Catchments from Acid Deposition. Remote Sensing12(12), 1944.

  • 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. Forests11(3), 268.

  • Janoutová, R., Homolová, L., Malenovský, Z., Hanuš, J., Lauret, N., & Gastellu-Etchegorry, J.-P. (2019). Influence of 3D Spruce Tree Representation on Accuracy of Airborne and Satellite Forest Reflectance Simulated in DART. Forests10(3), 35.

  • Homolová, L., Janoutová, R., Lukeš, P., Hanuš, J., Novotný, J., Brovkina, O., & Loayza Fernandez, R. R. (2017). In situ data supporting remote sensing estimation of spruce forest parameters at the ecosystem station Bílý Kříž. Beskydy10(1–2), 75–86.

  • Homolová, L., Janoutová, R., & Malenovský, Z. (2016). Evaluation of various spectral inputs for estimation of forest biochemical and structural properties from airborne imaging spectroscopy data. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesXLI-B7, 961–966.

  • Rossini, M., Nedbal, L., Guanter, L., Ač, A., Alonso, L., Burkart, A., Cogliati, S., Colombo, R., Damm, A., Drusch, M., Hanus, J., Janoutova, R., Julitta, T., Kokkalis, P., Moreno, J., Novotny, J., Panigada, C., Pinto, F., Schickling, A., … Rascher, U. (2015). Red and far red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis. Geophysical Research Letters42(6), 2014GL062943.