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Land use
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Person
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prof. RNDr. Jakub Langhammer Ph.D.
Academic staff at Faculty of Science
1 study programme
9 classes
240 publications
Study programme
programme
Hydrology and Hydrogeology
🇨🇿 Bc. |
Faculty of Science
Classes
class
Advanced instrumental techniques in hydrological research
MBCPLUS013 |
Faculty of Science
class
Hydrology
MPGS0070 |
Faculty of Science
class
Current Trends in Hydrology and Hydrogeology
MZ330E005 |
Faculty of Science
class
Application of Geoinformatics in Physical Geography
MZ330P104 |
Faculty of Science
class
Hydroinformatics
MZ330P114 |
Faculty of Science
class
Extreme Hydrometeorological Phenomena and Processes
MZ330P116 |
Faculty of Science
class
Flood Risk Management
MZ330P134 |
Faculty of Science
class
Geoinformatics in Physical Geography
MZ330P48 |
Faculty of Science
class
Water Quality
MZ330P93 |
Faculty of Science
Publications
publication
Analysis of efficiency of pollution reduction measures in rural basin using MIKE Basin model. Case study: Olšava river basin
2014 |
Faculty of Science
publication
Impact of changes in landscape on the flood risk
2012 |
Faculty of Science
publication
Impakt of landscape changes on the course and consequences of flood in August 2002
2012 |
Faculty of Science
publication
Modelling the impact of land cover changes on flood mitigation in the upper Lužnice basin
2011 |
Faculty of Science
publication
Long-Term Land Use Changes in Czechia as a Flood Risk Influencing Factor
2008 |
Faculty of Science
publication
Evaluation of suspended load changes using AnnAGNPS and SWAT semi-empirical models
2008 |
Faculty of Science
publication
Landscape changes as a factor affecting the course and consequences of extreme floods in the Otava river basin, Czech Republic
2008 |
Faculty of Science
publication
Flood Simulations Using a Sensor Network and Support Vector Machine Model
2023 |
Faculty of Science
publication
Use of UAV Monitoring to Identify Factors Limiting the Sustainability of Stream Restoration Projects
2023 |
Faculty of Science
publication
Automated mapping of the mean particle diameter characteristics from UAV-imagery using the CNN-based GRAINet model
2023 |
Faculty of Science
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