David Frantz
David Frantz
Geoinformatics - Spatial Data Science, Trier University
Verified email at uni-trier.de - Homepage
Cited by
Cited by
Atmospheric correction inter-comparison exercise
G Doxani, E Vermote, JC Roger, F Gascon, S Adriaensen, D Frantz, ...
Remote Sensing 10 (2), 352, 2018
Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects
D Frantz, E Haß, A Uhl, J Stoffels, J Hill
Remote sensing of environment 215, 471-481, 2018
FORCE—Landsat+ Sentinel-2 analysis ready data and beyond
D Frantz
Remote Sensing 11 (9), 1124, 2019
An operational radiometric landsat preprocessing framework for large-area time series applications
D Frantz, A Röder, M Stellmes, J Hill
IEEE Transactions on Geoscience and Remote Sensing 54 (7), 3928-3943, 2016
Enhanced biomass prediction by assimilating satellite data into a crop growth model
M Machwitz, L Giustarini, C Bossung, D Frantz, M Schlerf, H Lilienthal, ...
Environmental modelling & software 62, 437-453, 2014
Enhancing the detectability of clouds and their shadows in multitemporal dryland Landsat imagery: Extending Fmask
D Frantz, A Röder, T Udelhoven, M Schmidt
IEEE Geoscience and Remote Sensing Letters 12 (6), 1242-1246, 2015
Phenology-adaptive pixel-based compositing using optical earth observation imagery
D Frantz, A Röder, M Stellmes, J Hill
Remote sensing of environment 190, 331-347, 2017
Evaluating the trade-off between food and timber resulting from the conversion of Miombo forests to agricultural land in Angola using multi-temporal Landsat data
A Schneibel, M Stellmes, A Röder, M Finckh, R Revermann, D Frantz, ...
Science of the total environment 548, 390-401, 2016
Using annual landsat time series for the detection of dry forest degradation processes in south-central Angola
A Schneibel, D Frantz, A Röder, M Stellmes, K Fischer, J Hill
Remote Sensing 9 (9), 905, 2017
Fire frequency, fire seasonality and fire intensity within the Okavango region derived from MODIS fire products.
M Stellmes, D Frantz, M Finckh, R Revermann
Biodiversity and Ecology 5, 351-362, 2013
Mapping cropping practices on a national scale using intra-annual landsat time series binning
P Rufin, D Frantz, S Ernst, A Rabe, P Griffiths, M Özdoğan, P Hostert
Remote Sensing 11 (3), 232, 2019
Assessment of spatio-temporal changes of smallholder cultivation patterns in the Angolan Miombo belt using segmentation of Landsat time series
A Schneibel, M Stellmes, A Röder, D Frantz, B Kowalski, E Haß, J Hill
Remote sensing of Environment 195, 118-129, 2017
Improving the spatial resolution of land surface phenology by fusing medium-and coarse-resolution inputs
D Frantz, M Stellmes, A Röder, T Udelhoven, S Mader, J Hill
IEEE Transactions on Geoscience and Remote Sensing 54 (7), 4153-4164, 2016
Okavango basin–earth observation
M Stellmes, D Frantz, M Finckh, R Revermann
Biodivers Ecol 5, 23-27, 2013
Linking land surface phenology and vegetation-plot databases to model terrestrial plant α-diversity of the Okavango Basin
R Revermann, M Finckh, M Stellmes, BJ Strohbach, D Frantz, J Oldeland
Remote Sensing 8 (5), 370, 2016
Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data
F Schug, D Frantz, A Okujeni, S van Der Linden, P Hostert
Remote Sensing of Environment 246, 111810, 2020
Fire spread from MODIS burned area data: Obtaining fire dynamics information for every single fire
D Frantz, M Stellmes, A Röder, J Hill
International Journal of Wildland Fire 25 (12), 1228-1237, 2016
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
E Grabska, D Frantz, K Ostapowicz
Remote Sensing of Environment 251, 112103, 2020
Forest disturbance mapping using dense synthetic landsat/MODIS time-series and permutation-based disturbance index detection
D Frantz, A Röder, T Udelhoven, M Schmidt
Remote Sensing 8 (4), 277, 2016
Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2 using land cover optimized multivariate regressors
D Scheffler, D Frantz, K Segl
Remote Sensing of Environment 241, 111723, 2020
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