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Global Change Research Institute, CAS

MSc. Antonín Kusbach,


Position: odborný pracovník V a V

Branch: Department of Remote Sensing

Workplace: ÚVGZ AV ČR, v. v. i.Bělidla 4aBrno603 00




Tony started his academic career in Logan, Utah, USA in 2008 at Utah State University. This environmentally and geologically significant place offered a great platform for starting a career in natural science. After four years of focusing on geography of Rocky Mountains, Tony receives his BSc. in Geography, with an emphasis Physical Geography and GIS. During the two gap years in between his studies, Tony lectured English for local schools and private companies in the Czech Republic and received a C2 level Certification of Proficiency in English. In 2014, he started a Master degree programe at Lund University, majoring in Physical Geography and Ecosystem Science with a diploma work titled: “Analysis of peak-season carbon flux estimations based on four MODIS vegetation indices in the circumpolar Arctic”. This opportunity has extended into a multi-collegiate collaboration between Lund University, Aarhus University and Dublin City University (DCU): PANEEX – Pan-Arctic Net Ecosystem Exchange. Involvements in field data collection campaigns, such as measurements of permafrost active layer in Abisko, Northern Sweden, dissolved organic carbon in Swedish taiga (Umeå) and ICOS data harmonization as a field station technician (Hyltemossa station, Sweden) further shaped his scientific career and made contributions to Arctic research though Lund University until 2019.

Currently, Tony is working as a science associate (PhD candidate) at CzechGlobe – Global Change Research Institute CAS, Brno, Czech Republic and contributes to research in remote sensing and GIS sector. Additionally, he has been participating in educational aid projects in developing countries, i.e. Moldova and Ethiopia through Czech Development Agency (CRA) since 2018. He is going to pursue his doctoral degree at Technical University in Dressden, focusing on monitoring forest vitality using satellite-driven data and vegetation indices, such as GPP.