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restoration
Person
Class
Person
Publication
Programmes
Ing. Markéta Potůčková Ph.D.
Academic staff at Faculty of Science
8 classes
121 publications
Classes
class
Applied Geoinformatics
MZ300E007 |
Faculty of Science
class
Remote Sensing Image Processing II.
MZ370G06 |
Faculty of Science
class
Processing of imaging radar data
MZ370G17 |
Faculty of Science
class
Precessing of 3D point clouds
MZ370G19 |
Faculty of Science
class
Visiting professor in geoinformatics and cartography
MZ370G27 |
Faculty of Science
class
Time series analysis in RS
MZ370G31 |
Faculty of Science
class
Extraction of Topographic Information
MZ370P05 |
Faculty of Science
class
Matlab
MZ370P28 |
Faculty of Science
Publications
publication
Fluvial dynamics and selected methods of ecohydrological monitoring of restored Sviňovický brook channel
2008 |
Faculty of Science
publication
Hydromorphological monitoring of the restored Sviňovický stream
2008 |
Faculty of Science
publication
Monitoring of dynamics of restored Sviňovický brook channel
2008 |
Faculty of Science
publication
Hydro-morphological monitoring of restored Sviňovický brook channel
2008 |
Faculty of Science
publication
Monitoring of channel adjustment of the restored Sviňovický Creek
2007 |
Faculty of Science
publication
An incremental facility location clustering with a new hybrid constrained pseudometric
2023 |
Faculty of Science, Faculty of Mathematics and Physics
publication
Can canopy temperature acquired from an airborne level be a tree health indicator in an urban environment?
2023 |
Faculty of Science
publication
Multisource point cloud fusion for forest and post-fire forest mapping: Case study from the Bohemian Switzerland National Park
2023 |
Faculty of Science
publication
Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European tundra
2023 |
Faculty of Science
publication
Evaluation of the bark beetle green attack detectability in spruce forest from multitemporal multispectral UAV imagery
2023 |
Faculty of Science
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