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David Frantz
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- affiliation: University of Trier, Germany
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2020 – today
- 2024
- [j22]Vu-Dong Pham
, Gideon Okpoti Tetteh
Temporally transferable crop mapping with temporal encoding and deep learning augmentations. Int. J. Appl. Earth Obs. Geoinformation 129: 103867 (2024) - [j21]Florian Schintke
Validity constraints for data analysis workflows. Future Gener. Comput. Syst. 157: 82-97 (2024) - 2023
- [i1]Florian Schintke, Ninon De Mecquenem, David Frantz, Vanessa Emanuela Guarino, Marcus Hilbrich, Fabian Lehmann
Validity Constraints for Data Analysis Workflows. CoRR abs/2305.08409 (2023) - 2022
- [j20]He Yin
Integrated topographic corrections improve forest mapping using Landsat imagery. Int. J. Appl. Earth Obs. Geoinformation 108: 102716 (2022) - [j19]Daniel Scheffler
Improved burn severity estimation by using Land Surface Phenology metrics and red edge information estimated from Landsat. Int. J. Appl. Earth Obs. Geoinformation 115: 103126 (2022) - [j18]David Frantz, Patrick Hostert
Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics. Remote. Sens. 14(3): 597 (2022) - 2021
- [j17]Philippe Rufin
Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages. IEEE Geosci. Remote. Sens. Lett. 18(4): 712-716 (2021) - [j16]Viktoria Zekoll
Comparison of Masking Algorithms for Sentinel-2 Imagery. Remote. Sens. 13(1): 137 (2021) - [j15]Viktoria Zekoll
Erratum: Zekoll, F., et al. Comparison of Masking Algorithms for Sentinel-2 Imagery. Remote Sens. 13, 2021. Remote. Sens. 13(4): 539 (2021) - [c1]Fabian Lehmann, David Frantz, Sören Becker, Ulf Leser, Patrick Hostert:
FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters. CIKM Workshops 2021 - 2020
- [j14]Benjamin Jakimow
Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer. Environ. Model. Softw. 125: 104631 (2020)
2010 – 2019
- 2019
- [j13]Philippe Rufin
Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning. Remote. Sens. 11(3): 232 (2019) - [j12]David Frantz
A Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery. Remote. Sens. 11(3): 257 (2019) - [j11]David Frantz
FORCE - Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote. Sens. 11(9): 1124 (2019) - [j10]Sascha Nink, Joachim Hill, Johannes Stoffels, Henning Buddenbaum
Using Landsat and Sentinel-2 Data for the Generation of Continuously Updated Forest Type Information Layers in a Cross-Border Region. Remote. Sens. 11(20): 2337 (2019) - 2018
- [j9]Georgia Doxani, Eric F. Vermote, Jean-Claude Roger
Atmospheric Correction Inter-Comparison Exercise. Remote. Sens. 10(2): 352 (2018) - 2017
- [j8]Erik Haß
Global Analysis of the Differences Between the MODIS Vegetation Index Compositing Date and the Actual Acquisition Date. IEEE Geosci. Remote. Sens. Lett. 14(6): 866-870 (2017) - [j7]Anne Schneibel, David Frantz
Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola. Remote. Sens. 9(9): 905 (2017) - 2016
- [j6]David Frantz
Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection. Remote. Sens. 8(4): 277 (2016) - [j5]Rasmus Revermann
Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant α-Diversity of the Okavango Basin. Remote. Sens. 8(5): 370 (2016) - [j4]David Frantz
An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications. IEEE Trans. Geosci. Remote. Sens. 54(7): 3928-3943 (2016) - [j3]David Frantz
Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs. IEEE Trans. Geosci. Remote. Sens. 54(7): 4153-4164 (2016) - 2015
- [j2]David Frantz
Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask. IEEE Geosci. Remote. Sens. Lett. 12(6): 1242-1246 (2015) - 2014
- [j1]Miriam Machwitz
Enhanced biomass prediction by assimilating satellite data into a crop growth model. Environ. Model. Softw. 62: 437-453 (2014)
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