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environmental pollution
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Ing. Luboš Matějíček Ph.D.
Academic staff at Faculty of Science
11 classes
106 publications
Classes
class
Energy-nature and society
MO550P119 |
Faculty of Science
class
Environmental modelling
+1
MO550P19 |
Faculty of Science
class
Environmental Informatics
+2
MO550P51 |
Faculty of Science
class
Geoinformatic methods for environmental studies
MO550P59 |
Faculty of Science
class
Introduction to environmental informatics
MO550P66 |
Faculty of Science
class
Applied GIS
MO550P77 |
Faculty of Science
class
Applied Remote Sensing
MO550P78 |
Faculty of Science
class
Energy - nature and society
MO550P84 |
Faculty of Science
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Publications
publication
Environmental Modelling Using Cloud Computing Tools: Case Studies and Examples
2012 |
Faculty of Science
publication
Spatio-temporal analysis of environmental pollution in urban areas: A case study of the environment in the city of Prague
2011 |
Faculty of Science
publication
A GIS-based approach to spatio-temporal analysis of environmental pollution in urban areas: A case study of Prague's environment extended by LIDAR data
2006 |
Faculty of Science
publication
Mapping of Environmental Pollution in Urban Areas with GIS
2003 |
Faculty of Science
publication
Land cover changes in the extent of surface mining and reclamation in Northwest Bohemia using a 1984-2017 landsat time series
2019 |
Faculty of Science
publication
Prague: Short-term history of land cover changes explored by satellite images
2018 |
Faculty of Science
publication
Environmental optimization tools for collection of household batteries using GIS and its extensions
2018 |
Faculty of Science
publication
Predicting the toxicity of post-mining substrates, a case study based on laboratory tests, substrate chemistry, geographic information systems and remote sensing
2017 |
Faculty of Science, Central Library of Charles University
publication
Assessment of Energy Sources Using GIS
2017 |
Faculty of Science
publication
An Assessment of Environmental Impacts of the Surface Coal Industry in the Regional Scale Using GIS
2017 |
Faculty of Science
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