Florian Beyer
Developer at LGLN Landesamt für Geoinformation und Landesvermessung Niedersachsen
Brunswick, Lower Saxony, Germany
Summary
👤
Senior🎓
Top SchoolFlorian Beyer is a developer and geoinformatics researcher with 10 years’ experience specializing in remote sensing analysis across RGB, multispectral, hyperspectral and SAR data from satellite to drone and ground scale. He has applied machine learning and AI methods to agricultural and ecological problems, notably in national-scale in-season crop classification using Sentinel-1/2 and in wetland, floodplain and post-mining landscape studies. His work bridges rigorous academic research—culminating in a summa cum laude PhD—and practical operational projects at institutions like the Julius Kühn Institute and the LGLN in Lower Saxony. Florian is adept at turning multisensor time series into actionable maps and early-season crop labels ahead of federal datasets, a niche that speeds monitoring and decision-making. Colleagues value his combination of methodological breadth (SVM, RF, GPR and modern ML) and hands-on experience with drone-derived vegetation parameters. Based in Brunswick, Germany, he brings a pragmatic, research-driven approach to solving large-scale Earth observation challenges.
10 years of coding experience
12 years of employment as a software developer
Diploma, Geographie, 1,4, Diploma, Geographie, 1,4 at University of Halle-WittenbergPhD, Geoinformatics, Summa cum laude, PhD, Geoinformatics, Summa cum laude at University of Rostock
Stackoverflow
45reputation
19kreached
2answers
3questions
Github Skills (77)
insar8
satellite-data8
sar8
spatialite8
satellite7
balloon7
kite7
earth-observation7
ssh6
gdal6
svm6
pandas6
fill6
snap6
linux6
Programming languages (4)
Github contributions (5)
florianbeyer/RandomForest-Classification
Mar 2018 - Nov 2020
Contributions:1 release, 59 commits, 58 pushes in 2 years 8 months
florianbeyer/SpectralIndices
Dec 2019 - Jul 2020
Contributions:1 release, 7 commits, 6 pushes in 6 months
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