Publications

This list summarizes all scientific publications that describe FORCE, functionality, validation etc.

• 2021

  Frantz, D., Stellmes, M., and Ernst, S. (2021). Water vapor database for atmospheric correction of Landsat imagery. Zenodo. Dataset available online:

  https://doi.org/10.5281/zenodo.4468700
  V. Zekoll, M. Main-Knorn, J. Louis, D. Frantz, R. Richter, and B. Pflug (2021): Comparison of Masking Algorithms for Sentinel-2 Imagery. Remote Sensing 13.

  https://doi.org/10.3390/rs13010137

• 2020

  P. Rufin, D. Frantz, L. Yan, and P. Hostert (2020): Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages. IEEE Geoscience and Remote Sensing Letters (early access).

  https://doi.org/10.1109/LGRS.2020.2982245

• 2019

  Frantz, D. (2019): FORCE – Landsat + Sentinel-2 Analysis Ready Data and beyond: Remote Sensing 11, 1124.

  http://doi.org/10.3390/rs11091124
  Frantz, D., Stellmes, M., and Hostert, P. (2019): A Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery. Remote Sensing 11, 257.

  http://doi.org/10.3390/rs11030257

• 2018

  Frantz, D., Haß, E., Uhl, A., Stoffels, J., and Hill, J. (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.

  http://doi.org/10.1016/j.rse.2018.04.046
  Frantz, D., and Stellmes, M. (2018). Water vapor database for atmospheric correction of Landsat imagery. PANGAEA. Dataset available online:

  http://doi.org/10.1594/PANGAEA.893109
  Doxani, G., Vermote, E., Roger, J.-C., Gascon, F., Adriaensen, S., Frantz, D., Hagolle, O., Hollstein, A., Kirches, G., Li, F., Louis, J., Mangin, A., Pahlevan, N., Pflug, B., and Vanhellemont, Q. (2018). Atmospheric Correction Inter-Comparison Exercise. Remote Sensing 10, 352.

  http://doi.org/10.3390/rs10020352

• 2017

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

  http://doi.org/10.1016/j.rse.2017.01.002
  Frantz, D. (2017). Generation of Higher Level Earth Observation Satellite Products for Regional Environmental Monitoring. Ph.D. dissertation. Faculty of Regional and Environmental Sciences, Trier University, Trier, Germany, p. 194 http://ubt.opus.hbz-nrw.de/volltexte/2017/1046/pdf/frantz_phd.pdf

• 2016

  Frantz, D., Röder, A., Stellmes, M., and Hill, J. (2016). An operational radiometric Landsat pre-processing framework for large-area time-series applications. IEEE Transactions on Geoscience and Remote Sensing 54 (7): 3928-3943.

  http://doi.org/10.1109/TGRS.2016.2530856
  Frantz, D., Stellmes, M., Röder, A., Udelhoven, T., Mader, S., and Hill, J. (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.

  http://doi.org/10.1109/TGRS.2016.2537929

• 2015

  Frantz, D., Röder, A., Udelhoven, T., and Schmidt, M. (2015). Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask. IEEE Geoscience and Remote Sensing Letters 12 (6): 1242-1246.

  http://doi.org/10.1109/lgrs.2015.2390673
  Frantz, D., Röder, A., Stellmes, M., and Hill, J. (2015). On the derivation of a spatially distributed aerosol climatology for its incorporation in a radiometric Landsat pre-processing framework. Remote Sensing Letters 6 (8): 647-656.

  http://doi.org/10.1080/2150704x.2015.1070314