prof. RNDr. Jakub Langhammer, Ph.D.

Profile

Hydrologist and physical geographer.
Head of the Department of Physical Geography and Geoecology at the Faculty of Science, Charles University in Prague, head of the Hydrology Research Group, founder of the hyDRONE team.

Research focused on the impacts of climate and landscape change on extreme hydrological processes. Principal investigator of basic research grant projects focused on the impacts of climate change and landscape disturbances on hydrological extremes and fluvial-morphological changes in streams.
Development of advanced hydroinformatic methods, i.e. application of sensor networks, use of unmanned technologies for modelling river environments and use of machine learning methods in hydrological modelling. Applied research in the field of risk process modelling and definition of methodologies for assessing the ecomorphological status of streams.

Guarantor of the bachelor study programme Hydrology and Hydrogeology. Conducting lectures and seminars, including flood risk management, hydrometeorological extremes, geoinformatics in physical geography, hydroinformatics, water quality. Supervisor of undergraduate and PhD students.

Recent publications

LANGHAMMER, J., BERNSTEINOVÁ, J., 2025. Attributing the effects of climate change and forest disturbance on runoff using distributed modeling and indicators of hydrological alteration in Central European montane basins. Journal of Hydrology: Regional Studies. 57, 102101. (IF 4.7)

WITEK, M., WALUSIAK, G., HALICKI, M., REMISZ, J., BOROWICZ, D., PARZÓCH, K., KASPRZAK, Ł., LANGHAMMER, J., GALLAY, M., MIŘIJOVSKÝ, J., ŠAŠAK, J., KAŇUK, J., LENDZIOCH, T., MINAŘÍK, R., POPELKA, S., NIEDZIELSKI, T., 2024. Reconstructing bed topography of a shallow river from close-range aerial imagery: Multi-UAV experimental campaign in the Izera river (SW Poland/N Czechia). Geomorphology 471, 109544. (IF 3.1)

LANGHAMMER, J., LENDZIOCH, T., VLČEK, L., 2024.  Montane peatland response to drought: Evidence from multispectral and thermal UAS monitoring. Ecological Indicators,  167, 112587. (IF 7.0)

BA, D., LANGHAMMER, J., MACA, P., BODIAN, A., 2024.  Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin.  J. Hydrol. Hydromech., Vol. 72, No. 1, 2024, p. 131 - 147, doi: 10.2478/johh-2023-0044. (IF 2.7)

LENDZIOCH, T., LANGHAMMER, J., SHESHADRIVASAN, V. K., 2023. Automated mapping of the mean particle diameter characteristics from UAV-imagery using the CNN-based GRAINet model. Journal of Hydroinformatics 2023; jh2023079. doi: https://doi.org/10.2166/hydro.2023.079. (IF 2.7)

LANGHAMMER, J., 2023. Flood Simulations Using a Sensor Network and Support Vector Machine Model. Water 2023, 15(11), 2004; https://doi.org/10.3390/w15112004. (IF 3.4)

LANGHAMMER, J., LENDZIOCH, T., ŠOLC, J., 2023. Use of UAV Monitoring to Identify Factors Limiting the Sustainability of Stream Restoration Projects. Hydrology, 10(2), 48; https://doi.org/10.3390/hydrology10020048.  (IF 3.2)

LENDZIOCH, T., LANGHAMMER, J., VLČEK, L., MINAŘÍK, R., 2021. Mapping the Groundwater Level and Soil Moisture of a Montane Peat Bog Using UAV Monitoring and Machine Learning. Remote Sensing. 13(5):907. (IF 5.0)

Personal webpage: https://langhammer.natur.cuni.cz/