David Klehr
Research Assistant (doctoral candidate/ PhD Candidate)
Research interests
- Environmental Satellite Remote Sensing
- Tree Species Classification using High-Resolution Planet Fusion Imagery
- Temporal Synthetic Unmixing Techniques for analysis of Tree Species Dynamics in Mixed Temperate Forests
- Assessment of Long Satellite Time-Series Applicability for Investigation of Forest Development
- Analysis of the Historical Evolution of Forest Composition in the Hunsrück-Hochwald National Park Using Spy Satellite Imagery
Offered Courses:
- Introduction into Geoinformatics (WS22/23; WS23/24)
- Spatial Presentation and Planning - Learning with Cartographic Media (SS23)
Curriculum Vitae
2022 – ongoing Research Assistant; Doctoral Candidate
2022 Msc-Thesis: “Tree Species Classification in the National Park Hunsrück-Hochwald Using Hyper-Temporal Planet Fusion Imagery”
2019 – 2022 MSc in Applied Geoinformatics (Trier University)
2019 BSc-Thesis: “Application of OBIA-Techniques in Existing Vector Geometries”
2015 – 2019 BSc in Applied Geoinformatics (Trier University)
