Ing. Lukáš Brodský, Ph.D.

Charles University, Faculty of Science

Department of Applied Geoinformatics and Cartography

Albertov 6, 128 43 Praha 2
Room 341, 3. patro

Tel.: (+420) 221 951 258

E-mail: lukas.brodsky@natur.cuni.cz

ResearcherID: S-9360-2017 

Scopus Author ID: 7006806246

ORCID: 0000-0003-4396-0477 

Research Gate: Lukas Brodsky

Research interests

Earth Observation (Land Cover and Cryosphere Changes)
Filed Spectroscopy
Machine Learning in Geosciences

Lectures

Hyperspectral Remote Sensing, Machine Learning in Geosciences, Spatial Databases,  Geoinformatics

Working experience

Charles University, Faculty of Science,  Dpt. of Applied Geoinformatics and Cartography, 2016-now
Czech Technical University in Prague, Faculty of Civil Engineering, Department of Geomatics, 2019 - 2022
Gisat s.r.o., Head of Remote Sensing Department, 2003-2015
Member of the European Topic Centre  for land at  European Environment Agency (EEA), 2004-2015
Czech University of Life Sciences, Faculty of Agrobiology, Food and Natural Resources, Department of Soil Science and Soil Protection, 2003-2015

Fellowship and research stays

Aristotele University, School of Geology - Multi-sensor fusion of optical and SAR data (Erasmus), 2018
Universität für Bodenkultur Wien (BOKU), Soil Science research stay (SOCRATES-ERASMUS ), 2002

Selected publications

Brodsky, L., Vilímek, V., Šobr, M., Kroczek, T. The Effect of Suspended Particulate Matter on the Supraglacial Lake Depth Retrieval from Optical Data. Remote Sens. 2022, 14, x. https://doi.org/10.3390/xxxxx InPress.

Ibrahim, S., Landa, M., Pešek, O., Brodský, L., Halounová, L. Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe. Remote Sensing. 2022; 14(14):3392. https://doi.org/10.3390/rs14143392.

Landa M., Brodský, L., Halounová, L., Bouček, T., Pešek, O. Open Geospatial System for LUCAS In Situ Data Harmonization and Distribution. ISPRS International Journal of Geo-Information. 2022; 11(7):361. https://doi.org/10.3390/ijgi11070361.

Martijn Witjes, Leandro Parente, Chris J. van Diemen, Tomislav Hengl, Martin Landa, Lukas Brodsky, Lena Halounova, Josip Krizan, Luka Antonic, Codrina MIlie, Vasile Craciunescu, Milan Kilibarda, Ognjen Antonijevic, Luka Glusica (2022): A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 – 2019) based on LUCAS, CORINE and GLAD Landsat, DOI: 10.21203/rs.3.rs-561383/v2 

Hvězdová, M., Kosubová, P., Košíková, M., Scherr, K.E., Šimek, Z., Brodský, L., Šudoma, M., Škulcová, L., Sáňka, M., Svobodová, M., Krkošková, L., Vašíčková, J., Neuwirthová, N., Bielská,L. and Hofman, J. (2018): Currently and recently used pesticides in Central European arable soils. Science of The Total Environment, Volumes 613–614, Pages 361-370.

Vašát, R., Kodešová, R.,  Borůvka, L.,  Jakšík, O., Klement, A., Brodský, L. (2017): Combining reflectance spectroscopy and the digital elevation model for soil oxidizable carbon estimation. Geoderma, 303, p. 133-142. ISSN: 0016-7061.

Viscarra Rossel, R.A. and Behrens, T. and Ben-Dor, E. and Brown, D.J. and Dematte, J.A.M. and Shepherd, K.D. and Shi, Z. and Stenberg, B. and Stevens, A. and Adamchuk, V. and Aichi, H. and Barthes, B.G. and Bartholomeus, H.M. and Bayer, A.D. and Bernoux, M. and Bottcher, K. and Brodsky, L. and Du, C.W. and Chappell, A. and Fouad, Y. and Genot, V. and Gomez, C. and Grunwald, S. and Gubler, A. and Guerrero, C. and Hedley, C.B. and Knadel, M. and Morras, H.J.M. and Nocita, M. and Ramirez-Lopez, L. and Roudier, P. and Campos, E.M.R. and Sanborn, P. and Sellitto, V.M. and Sudduth, K.A. and Rawlins, B.G. and Walter, C. and Winowiecki, L.A. and Hong, S.Y. and Ji, W. (2016):  A global spectral library to characterize the world's soil. Earth-Science Reviews, Volume 155, Pages 198-230.

Brodsky, L. and Vobora, V. and Nalevka, O. and Jindrova, M. and Stoica, A. and Buciu C. and Birta, D. (2016): Images retrieval from Big Data archives for Copernicus land monitoring services. Proc. of the 2016 conference on Big Data from Space (BiDS’16), ESA, ISBN: 978-92

Feranec, J. and Solin, L. and Kopecka, M. and Otahel, J. and Kupkova, L. and Stych, P. and Bicik, I. and Kolar, J. and Cerba, O. and Soukup, T. and Brodsky, L. (2014): Analysis and expert assessment of the semantic similarity between land cover classes. Progress in Physical Geography. Volume 38, Number = 3, Pages = 301-327.

Brink, A.B. and Bodart, C. and Brodsky, L. and Defourney, P. and Ernst, C. and Donney, F. and Lupi, A. and Tuckova, K. (2014): Anthropogenic pressure in East Africa-Monitoring 20 years of land cover changes by means of medium resolution satellite data. International Journal of Applied Earth Observation and Geoinformation. Volume 28, Number = 1, Pages 60-69.

Lhotáková, Z.; Brodský, L.; Kupková, L.; Kopačková, V.; Potůčková, M.; Mišurec, J.; Klement, A.; Kovářová, M.; Albrechtová, J. (2013): Detection of multiple stresses in Scots pine growing at post-mining sites using visible to near-infrared spectroscopy. Environmental Science-Processes & Impacts. 15(11), 2004-2015.

Brodský, L. – Vašát, R. – Klement, A. – Zádorová, T. – Jakšík, O. (2013): Uncertainty propagation in VNIR reflectance spectroscopy soil organic carbon mapping. Geoderma, 199, SI, p. 54-63. ISSN: 0016-7061.
Brodský, L. – Klement, A. – Penížek, V. – Kodešová, R. – Borůvka, L. (2011): Building Soil Spectral Library of the Czech Soils for Quantitative Digital Soil Mapping. Soil and Water Research,  6.4, p. 165-172. ISSN: 1801-5395.

Zádorová, T. – Brodský, L. – Mulhanselová, M. (2009): Soil-terrain Modelling and Erosion Analysis at Field Scale Level, a Case Study. Soil and Water Research, 4.2, p. 84 - 90. ISSN: 1801-5395.

Kodešová, R. – Brodský, L. (2006): Comparison of CGMS-WOFOST and HYDRUS -1D Simulation Results for One Cell of CGMS-GRID 50. Soil and Water Research, 1.2, p. 39 - 48. ISSN: 1801-5395.

Brodský, L. – Borůvka, L. (2006): Object -oriented Fuzzy Analysis of Remote Sensing Data for Bare Soil Brightness Mapping. Soil and Water Research, 1.3, p. 79 - 84. ISSN: 1801-5395.