Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Faculty of Mathematics and Natural Sciences - Geomatics

Dr. David Frantz

publications-frantz.pdf
Name
Dr. David Frantz
Status Postdoctoral researcher
Photo: David Frantz
E-Mail david.frantz@geo.hu-berlin.de
Office location Rudower Chaussee 16, Room 2'225
Phone +49 (0)30 2093-4889
Fax +49 (0)30 2093-6848
Postal address Unter den Linden 6, 10099 Berlin, Germany

 

About me

My research interests include the monitoring of (semi-) natural ecosystems using remote sensing time series. Raised as an environmental scientist with a strong background in remote sensing and geoinformatics, my research focus is on developing methods to generate earth observation based information for their eventual usage for environmental monitoring at adequate spatial and temporal scales (mainly Landsat and Sentinel-2). This includes the automatic preprocessing of large quantities of image data (radiometric correction, cloud detection etc.), and the extraction of information layers from time series, e.g. the derivation of land surface phenology parameters and their changes in near-real time.

 

Curriculum Vitae

since 2017

Postdoctoral researcher (Geo.X Fellow), 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

Please find my full CV here.

 

Selected Publications

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

D. Frantz, M. Stellmes, A. Röder, T. Udelhoven, S. Mader, and J. Hill (2016): Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs. IEEE Transactions on Geoscience and Remote Sensing, 54 (7): 4153-4164. Link

A. Schneibel, M. Stellmes, A. Röder, D. Frantz, B. Kowalski, E. Haß, and J. Hill (2017): Assessment of spatio-temporal changes of smallholder cultivation patterns in the Angolan Miombo belt using segmentation of Landsat time series. Remote Sensing of Environment, 195, 118-129. 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.

 

Software

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!