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suspended sediments
Person
Class
Person
Publication
Programmes
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
Assessment of spatial and temporal changes of ecological status of streams in Czechia: A geographical approach
2013 |
Faculty of Science
publication
Present changes in water soil erosion hazard and the response to suspended sediment load
2012 |
Faculty of Science
publication
Evaluation of suspended load changes using AnnAGNPS and SWAT semi-empirical models
2008 |
Faculty of Science
publication
Suspended sediment load and soil erosion processes in mesoscale catchment areas
2007 |
Faculty of Science
publication
Evaluation of the AnnAGNPS and SWAT sediment transport models in the Blšanka catchment
2007 |
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
publication
Mapping the Groundwater Level and Soil Moisture of a Montane Peat Bog Using UAV Monitoring and Machine Learning
2021 |
Faculty of Science, Central Library of Charles University
publication
Detection of Bark Beetle Disturbance at Tree Level Using UAS Multispectral Imagery and Deep Learning
2021 |
Faculty of Science
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