Andreas Langner
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolAndreas Langner is a data analyst and remote sensing researcher with eight years of experience building transparent deforestation and forest degradation monitoring systems at regional to pan-tropical scales. With a PhD in Environmental Biology from LMU Munich and a background in biology, he bridges ecological science, spatial analysis, and policy by translating complex biomass and land-change data into actionable insights for local stakeholders and international agencies. He has led and contributed to interdisciplinary projects at the JRC and in Asia, implementing operational REDD+ monitoring and spatial biomass syntheses that inform carbon emission estimates. Comfortable in both technical and capacity-building roles, he combines hands-on remote sensing expertise with project management across multicultural teams. An aspect often overlooked: his career repeatedly pairs rigorous field-driven ecological study with scalable, transparent monitoring system design, ensuring scientific credibility underpins operational decision-making.
8 years of coding experience
4 years of employment as a software developer
Ludwig Maximilian University of Munich
German, English, French, Japanese, Italian
Github Skills (2)
monitoring8
canopy5
Programming languages (1)
Github contributions (2)
Andi1974/Forest-degradation-monitoring
Oct 2017 - Jul 2021
Repository for technical data dealing with (semi)-evergreen forest degradation monitoring
Contributions:16 releases, 32 commits, 2 PRs in 3 years 9 months
monitoring
sepal-contrib/fcdm
Feb 2021 - Nov 2021
Mapping all kind of canopy disturbances (natural or human induced) within (semi-)evergreen forests
Contributions:3 pushes, 10 comments in 9 months
evergreensemimappingforestsnatural
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