Daniel Paluba
Postdoctoral Researcher at Faculty of Science, Charles University
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolDaniel Paluba is a postdoctoral researcher in Earth Observation at Charles University in Prague with eight years of experience applying SAR data, machine learning, and time series analysis to detect forest change and dynamics. He completed a PhD in Remote Sensing (cum laude) and has worked both as a researcher and in IT support/public relations within the Faculty of Science, giving him a rare blend of deep technical expertise and stakeholder-facing communication skills. Daniel spent time as a visiting researcher at ESA's Φ-lab, translating cutting-edge research into practical EO applications. He is also active in education and capacity building, teaching remote sensing and GIS from primary schools to universities, which keeps his work grounded in real-world impact and community engagement.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Remote Sensing, Cum Laude, Doctor of Philosophy - PhD, Remote Sensing, Cum Laude at Charles University
English, Slovak, Hungarian
Github Skills (12)
google-earth-engine10
earth-engine9
open-datasets9
geospatial9
sentinel9
catalog9
gis9
geoserver8
geodata8
landsat8
data-management7
datasets7
Programming languages (2)
Github contributions (5)
palubad/LC-SLIAC
Aug 2020 - May 2021
Contributions:1 release, 94 commits, 33 pushes in 9 months
palubad/LST-downscaling-to-10m-GEE
Aug 2022 - Aug 2022
A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: Onačillová et al. 2021: Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment. https://doi.org/10.3390/rs14164076
Contributions:25 commits, 28 pushes, 1 branch in 20 days
google-earth-enginelandsatsentinel
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