<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Accurate high temporal resolution data is a very important source of information for understanding processes in the landscape. High temporal and spectral resolution data enable the monitoring of dynamic landscape processes. For this reason, since 2008 a receiving station for Metosat, NOAA and Envisat data has been installed at the Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University in Prague. The aim of this study is to analyse the spectral characteristics of vegetation using MERIS data in the Czech Republic. Spectral characteristics of vegetation were examined both by analysing changes in reflectivity as well as by utilising vegetation indices. Vegetation in forests and agricultural land was evaluated. The results present the spectral characteristics of selected associations of vegetation based on MERIS data and a discussion of the methods of multitemporal classification of land cover.</p></abstract>

Accurate high temporal resolution data is a very important source of information for understanding processes in the landscape. High temporal and spectral resolution data enable the monitoring of dynamic landscape processes. For this reason, since 2008 a receiving station for Metosat, NOAA and Envisat data has been installed at the Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University in Prague. The aim of this study is to analyse the spectral characteristics of vegetation using MERIS data in the Czech Republic. Spectral characteristics of vegetation were examined both by analysing changes in reflectivity as well as by utilising vegetation indices. Vegetation in forests and agricultural land was evaluated. The results present the spectral characteristics of selected associations of vegetation based on MERIS data and a discussion of the methods of multitemporal classification of land cover.

Multi-temporal analysis of vegetation reflectance using MERIS data in the Czech Republic

Department of Applied Geoinformatics and Cartography Faculty of Science Charles University in Prague

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Accurate high temporal resolution data is a very important source of information for understanding processes in the landscape. High temporal and spectral...

Multi-temporal analysis of vegetation reflectance using MERIS data in the Czech Republic

Online veröffentlicht: 17. Juni 2014

Seitenbereich: 30 - 34

Eingereicht: 11. Okt. 2013

Akzeptiert: 14. März 2014

DOI: https://doi.org/10.2478/mgrsd-2014-0015

Schlüsselwörter
High temporal data, MERIS, Czech Republic, land cover, classification

© by Přemysl Štych

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Multi-temporal analysis of vegetation reflectance using MERIS data in the Czech Republic

Online veröffentlicht: 17. Juni 2014

Seitenbereich: 30 - 34

Eingereicht: 11. Okt. 2013

Akzeptiert: 14. März 2014

DOI: https://doi.org/10.2478/mgrsd-2014-0015

SchlüsselwörterHigh temporal data, MERIS, Czech Republic, land cover, classification

© by Přemysl Štych

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
High temporal data, MERIS, Czech Republic, land cover, classification