I received my Master’s degree in Remote Sensing, Geoinformatics and Cartography from Charles University in Prague. I am currently a PhD student at the same university and a member of the EO4Landscape research team, where my main focus is on the detection of forest changes from time series using Synthetic Aperture Radar (SAR) data. My main interests include monitoring forest disturbances (e.g. bark beetle calamities, forest fires) and their subsequent recovery. I am also interested in finding the relationship between radar backscatter and possible factors affecting it, including environmental and climatological influences. Overall, I am involved in my research team’s land cover research and in various educational activities promoting remote sensing and GIS at all levels of education from primary schools to universities.
In the Φ-lab, I will work on quantifying forest health using SAR data (primarily Sentinel-1) using machine learning and artificial intelligence to emulate standard vegetation indices for time series analysis of forest ecosystems. In addition, the analysis will include a comparison of different SAR frequencies over forested areas, especially L-band (SAOCOM) and P-band from aerial campaigns.
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