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Faculty of Mathematics and Natural Sciences - Earth Observation Lab

Dr. David Frantz

Dr. David Frantz
Status Postdoctoral researcher
E-Mail david.frantz@geo.hu-berlin.de
Office location Rudower Chaussee 16, Room 2'212
Phone +49 (0)30 2093-6883
Fax +49 (0)30 2093-6848
Postal address Unter den Linden 6, 10099 Berlin, Germany


About me

I am fascinated by the current posssibilities Earth Observation offers. Raised as an environmental scientist with a strong background in remote sensing and geoinformatics, my research concentrates on how to “go from data to information” tailored for a wide range of environmentally centered research and monitoring needs. This particularly includes the preprocessing of operational EO data archives to analysis ready data, their management in data cubes, subsequent processing via data reduction, interpolation, time series analysis, and data integration with complementary data sources, as well as data analysis based on statistics and machine learning.

I fully support open science. Thus, I am publishing all my software and methods as open source code: FORCE.

I am currently a postdoctoral researcher in the Earth Observation Lab of Humboldt-Universität zu Berlin in the MAT_STOCKS project, where we aim at quantifying anthropogenic material stocks from S1/S2 data for various countries in the world (e.g. Germany, Japan, USA) - as well as in the FONDA CRC, where we will focus on data analysis workflows..


Curriculum Vitae

since 2017

Postdoctoral researcher, Humboldt-University of Berlin

2013 - 2017

Doctoral researcher and research assistant at Trier University

2006 - 2012

Study of Applied Environmental Sciences at Trier University, Germany, with a focus on remote sensing and geoinformatics


Selected Publications

D. Frantz, F. Schug, A. Okujeni, C. Navacchi, W. Wagner, S. van der Linden, and P. Hostert (2021). National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment 252, January 2021, 112128. Link

D. Frantz (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124. Link

D. Frantz, E. Haß, A. Uhl, J. Stoffels, and J. Hill (2018). Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects. Remote Sensing of Environment, 215, 471-481. Link

D. Frantz, A. Röder, M. Stellmes, and J. Hill (2017): Phenology-adaptive pixel-based compositing using optical earth observation imagery. Remote Sensing of Environment, 190, 331-347. Link

D. Frantz, A. Röder, M. Stellmes, and J. Hill (2016): An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications. IEEE Transactions on Geoscience and Remote Sensing, 54 (7): 3928-3943. Link


A full publication list can be found here. If you need access to one of the articles, please contact me through my Research Gate profile.



FORCE - Framework for Operational Radiometric Correction for Environmental monitoring - is a software framework capable of preprocessing and analyzing large quantities (both in space and time) of Landsat and Sentinel-2 images. FORCE is free and open software, you can download it from here!