D. Frantz

D. Frantz is an Assistant Professor at Trier University, leading the Geoinformatics - Spatial Data Science lab. Their research focuses on transforming Earth Observation (EO) data into actionable environmental insights through preprocessing, data cubes, and machine learning.

• Current Position: Assistant Professor for Geoinformatics - Spatial Data Science, Trier University (2021–today)
• Former Role: PostDoctoral Researcher at Earth Observation Lab, Humboldt-Universität zu Berlin (2017–2021)
• Education: PhD in Environmental Remote Sensing and Geoinformatics, Trier University (2013–2017)

Frantz's research emphasizes open science, with all software and methods published as open source (FORCE). Key research areas include:

• EO data preprocessing to analysis-ready data
• Multi-sensor data integration (Sentinel, Landsat)
• Land cover fraction mapping and time series analysis
• Material stock quantification in buildings/infrastructure
• Climate change mitigation through urban-rural gradient analysis

Recent publications highlight work on global material stock mapping, tree species classification in temperate forests, and temporally transferable crop mapping using deep learning. While no explicit awards are listed, their open-source contributions and leadership in the Geoinformatics lab underscore significant academic impact.