Leonard Trill

Leonard Trill serves as a Researcher at the Chair of Engineering Geodesy, Technical University of Munich (TUM), since 2024, while concurrently pursuing his doctoral degree at the TUM Graduate School.

His educational background includes:

• Master of Science in Geodesy and Geoinformation from the Technical University of Darmstadt (2023-2024), with thesis titled "UAV-based observation of maize fields for yield prediction"
• Bachelor of Science in Civil Engineering and Geodesy from the Technical University of Darmstadt (2018-2023), with thesis titled "Drone-based photogrammetry for prospective biomass determination in maize cultivation"

Trill specializes in multisource and multitemporal geomonitoring using point clouds, with critical applications in alpine natural hazard assessment (including Hochvogel and Höllentalklamm regions) and deformation analysis. His methodological expertise integrates laser scanning, photogrammetry, and UAV technology for precision environmental monitoring, extending into agricultural applications for crop yield prediction and biomass estimation.

Teaching responsibilities include:

• Project Engineering Geodesy for Master's students in Geodesy
• Sensorics and Methodology 2 exercises for Bachelor's students in Geodesy
• Main surveying exercises for civil engineering students

No scientific awards are currently documented in available sources. As an early-career doctoral researcher, Trill has no listed advisees or research grants, focusing primarily on his dissertation work within TUM's engineering geodesy framework.