Dipl.-Umweltwiss. David Frantz

ZeitschriftenbeiträgeKonferenzbeiträge   BuchkapitelSonstige            Software            

Zeitschriftenbeiträge

O. Akpona, J. Clemens, C. Sam, F. David, H. Patrick, C. Matthew, S. Karl & Sebastian (2021): Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data.Remote Sensing of Environment, 112558, https://doi.org/10.1016/j.rse.2021.112558

P. Rufin, D. Frantz, L. Yan & P. Hostert (2021): Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages.IEEE Geoscience and Remote Sensing Letters, 18, 712-716, https://doi.org/10.1109/LGRS.2020.2982245 

F. Schug, D. Frantz, S. van der Linden & P. Hostert (2021): Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates.PLoS ONE, 16, 1-23, https://doi.org/10.1371/journal.pone.0249044 

O. Akpona, J. Clemens, C. Sam, F. David, H. Patrick, C. Matthew, S. Karl & Sebastian (2021): Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data.Remote Sensing of Environment, 112558, https://doi.org/10.1016/j.rse.2021.112558

J. Buchner, H. Yin, D. Frantz, T. Kuemmerle, E. Askerov, T. Bakuradze, B. Bleyhl, N. Elizbarashvili, A. Komarova, K. Lewińska, A. Rizayeva, H. Sayadyan, B. Tan, G. Tepanosyan, N. Zazanashvili & V. Radeloff (2020): Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites.Remote Sensing of Environment, 248, 111967, https://doi.org/10.1016/j.rse.2020.111967 

F. David, S. Franz, O. Akpona, N. Claudio, W. Wolfgang, L. Sebastian van der & H. Patrick (2021): National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series.Remote Sensing of Environment, 252, 112128, https://doi.org/10.1016/j.rse.2020.112128

D. Frantz (2019): FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond.Remote Sensing, 11, 1124, https://doi.org/10.3390/rs11091124 

D. Frantz, E. Haß, A. Uhl, J. Stoffels & 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, https://doi.org/10.1016/j.rse.2018.04.046 

D. Frantz, M. Stellmes & P. Hostert (2019): A Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery.Remote Sensing, 11, 257, https://doi.org/10.3390/rs11030257 

E. Grabska, D. Frantz & K. Ostapowicz (2020): Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians.Remote Sensing of Environment, 251, 112103, https://doi.org/10.1016/j.rse.2020.112103 

B. Jakimow, S. van der Linden, F. Thiel, D. Frantz & P. Hostert (2020): Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer.Environmental Modelling & Software, 125, 104631, https://doi.org/10.1016/j.envsoft.2020.104631 

K. Lebek, C. Senf, D. Frantz, J.A.F. Monteiro & T. Krueger (2019): Interdependent effects of climate variability and forest cover change on streamflow dynamics: a case study in the Upper Umvoti River Basin, South Africa.Regional Environmental Change, https://doi.org/10.1007/s10113-019-01521-8 

S. Nink, J. Hill, J. Stoffels, H. Buddenbaum, D. Frantz & J. Langshausen (2019): Using Landsat and Sentinel-2 Data for the Generation of Continuously Updated Forest Type Information Layers in a Cross-Border Region.Remote Sensing, 11, 2337, https://doi.org/10.3390/rs11202337 

P. Rufin, D. Frantz, S. Ernst, A. Rabe, P. Griffiths, M. Özdoğan, Hostert & Patrick (2019): Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning.Remote Sensing, 11, 232, https://doi.org/10.3390/rs11030232 

D. Scheffler, D. Frantz & K. Segl (2020): Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2 using land cover optimized multivariate regressors.Remote Sensing of Environment, 241, 111723, https://doi.org/10.1016/j.rse.2020.111723

F. Schug, D. Frantz, A. Okujeni, S. van der Linden & P. Hostert (2020): 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.Remote Sensing of Environment, 246, 111810, https://doi.org/10.1016/j.rse.2020.111810 

G. Doxani, E. Vermote, J.-C. Roger, F. Gascon, S. Adriaensen, D. Frantz, O. Hagolle, A. Hollstein, G. Kirches, F. Li, J. Louis, A. Mangin, N. Pahlevan, B. Pflug & Q. Vanhellement (2018): Atmospheric Correction Inter-Comparison Exercise.Remote Sensing 10:352. DOI

A. Schneibel, D. Frantz, A. Röder, M. Stellmes, K. Fischer, and J. Hill (2017). Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola.Remote Sensing, 9, 905. DOI

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. DOI

E. Haß, D. Frantz, S. Mader, and J. Hill (2017): Global Analysis of the Differences Between the MODIS Vegetation Index Compositing Date and the Actual Acquisition Date.IEEE Geoscience and Remote Sensing Letters, 14, 866-870.DOI

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. DOI

D. Frantz, M. Stellmes, A. Röder, and J. Hill (2016): Fire spread from MODIS burned area data: obtaining fire dynamics information for every single fire. International Journal of Wildland Fire, 25 (12), 1228-1237. DOI

R. Revermann, M. Finck, M. Stellmes, B.J. Strohbach, D. Frantz, and J. Oldeland (2016): Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant α-Diversity of the Okavango Basin. Remote Sensing, 8 (5), 370. DOI

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. DOI
Download the post-print version here

D. Frantz, A. Röder, T. Udelhoven, and M. Schmidt (2016): Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection.Remote Sensing, 8 (4), 277. DOI

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. DOI
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A. Schneibel, M. Stellmes, A. Röder, M. Finckh, R. Revermann, D. Frantz and J. Hill (2016): 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. Science of The Total Environment, 548–549: 390-401. DOI

D. Frantz, A. Röder, M. Stellmes, and J. Hill (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. DOI
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D. Frantz, A. Röder, T. Udelhoven & M. Schmidt (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. DOI
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M. Machwitz, L. Giustarini, C. Bossung, D. Frantz, M. Schlerf, H. Lilienthal, L. Wandera, P. Matgen, L. Hoffmann, T. Udelhoven (2014): Enhanced biomass prediction by assimilating satellite data into a crop growth model. Environmental Modelling & Software, 62, 437-453. DOI 

M. Stellmes, D. Frantz, M. Finckh, R. Revermann, A. Röder & J. Hill (2013): Fire frequency, fire seasonality and fire intensity within the Okavango region derived from MODIS fire products. Biodiversity & Ecology, 5, 351-362. DOI
Download the software here

Konferenzbeiträge

D. Frantz, A. Röder, M. Stellmes, J. Hill (2016). An operational radiometric multi-sensor pre-processing framework for large-area time-series applications of medium resolution optical satellite imagery.European Space Agency Living Planet Symposium, Prague, Czech Republic, 9-13 May. (oral presentation)

M. Finckh, M. Stellmes, D. Frantz, R. Revermann (2016). Tool or Disaster - Logics and Trade-Offs behind Wildfires in the Okavango Basin. European Conference of Tropical Ecology, Göttingen, Germany, 23-26 February. (oral presentation)

R. Revermann, M. Finckh, M. Stellmes, V. de Cauwer, D. Frantz, B. Strohbach, J. Oldeland (2016). Linking Land Surface Phenology and Vegetation-Plot Databases to predict Species Diversity and Distributions in the Okavango Basin. European Conference of Tropical Ecology, Göttingen, Germany, 23-26 February. (oral presentation)

D. Frantz, A. Röder, M. Stellmes & J. Hill (2015). Generating phenology adaptive pixel-based Landsat composites across large areas.4. Gemeinsame Jahrestagung der Arbeitskreise Fernerkundung (DGfG & DGPF), Bonn, Germany, 24-25 September. (oral presentation)

M. Finckh, C. Erb, D. Frantz, R. Revermann, A. Röder, A. Schneibel, M. Stellmes (2015). Patterns, processes & drivers - how interconnected social-ecological systems shape landscapes in the Okavango catchment.GFÖ 2015, Göttingen, Germany, 31-4 August/September. (oral presentation)

R. Revermann, M. Finckh, M. Stellmes, B. Strohbach, D. Frantz, J. Oldeland (2015). Linking Vegetation databases and phenological metrics of MODIS time series to predict plant species richness of the Okavango Basin. GFÖ 2015, Göttingen, Germany, 31-4 August/September. (poster presentation)

D. Frantz, A. Röder, M. Stellmes & J. Hill (2015): On the usage of a pixel-based dark-object database for the estimation of aerosol optical depth and its incorporation in a large area Landsat processing framework.MultiTemp 2015, Annecy, France, 22-24 July. (oral presentation)

M. Stellmes, A. Röder, D. Frantz, T. Udelhoven & J. Hill (2015): A characterization of the status and dynamics of land cover in the active Okavango catchment based on various MODIS products and climate data.MultiTemp 2015, Annecy, France, 22-24 July. (oral presentation)

D. Frantz, M. Stellmes, A. Röder, T. Udelhoven, S. Mader & J. Hill (2015): Reconstruction of MODIS derived phenology metrics at Landsat spatial resolution.MultiTemp 2015, Annecy, France, 22-24 July. (poster presentation)

A. Röder, D. Frantz, M. Stellmes, A. Schneibel, M. Finckh, V. Chissingu and J. Hill (2015): Using decadal pixel-based Landsat composites to analyze post-war forest cover dynamics in Angola. EARSeL Special Interest Group on Temporal Analysis of Satellite Images, Stockholm, Sweden, 17-19 June. (oral presentation)

M. Stellmes, A. Roeder, D. Frantz, T. Udelhoven & J. Hill (2015): A characterization of the status and dynamics of land cover in the active Okavango catchment based on various MODIS products and climate data. EARSeL Special Interest Group on Temporal Analysis of Satellite Images, Stockholm, Sweden, 17-19 June. (oral presentation)

D. Frantz, A. Röder, T. Udelhoven & M. Schmidt (2014): Characterization of forest disturbance using data-blending techniques applied to MODIS and Landsat time series in an Australian Savanna.Global Land Project 2014, Berlin, Germany, 19-21 March. (oral presentation)

M. Stellmes, D. Frantz, A. Röder, T. Weber & J. Hill (2014): A multi-component characterization of the active Okavango Catchment and Delta based on various MODIS products.Global Land Project 2014, Berlin, Germany, 19-21 March. (oral presentation)

M. Machwitz, T. Udelhoven, M. Schlerf, C. Bossung, C. Wiedekind, D. Frantz & L. Hoffmann  (2012): Enhancement of Yield Prediction – Sequential Data Assimilation Using the Models Apsim and Prosail and the Particle Filter. IGARSS 2012, Munich, Germany, 22-27 July.

J. Hill, M. Stellmes, J. Stoffels, W. Werner, O. Shtern & D. Frantz (2011): Assessing the Sensitivity of European Beech (Fagus sylvatica L.) Stands to Severe Drought Based on Measurements from Earth Observation Satellites. In, 1st Forestry Workshop: Operational Remote Sensing in Forest Management. 2-3 June 2011, Prague, Czech Republic. Link

Buchkapitel

M. De Blécourt, A. Röder, A. Gröngröft, S. Baumann, D. Frantz & A. Eschenbach (2018). Deforestation for agricultural expansion in SW Zambia and NE Namibia and the impacts on soil fertility, soil organic carbon-and nutrient levels. In: Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & Jürgens, N. (eds.): Biodiversity & Ecology 6 -  Climate change and adaptive land management in southern Africa: assessments, changes, challenges, and solutions: product of the first research portfolio of SASSCAL 2012-2018 (pp. 242-250)

D. Parduhn & D. Frantz (2018). Seeing deforestation in Zambia - On the discrepancy between biophysical land-use changes and social perception. In: Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & Jürgens, N. (eds.): Biodiversity & Ecology 6 -  Climate change and adaptive land management in southern Africa: assessments, changes, challenges, and solutions: product of the first research portfolio of SASSCAL 2012-2018 (pp. 317-323)

A. Röder, M. Stellmes, D. Frantz & J. Hill (2018). Remote sensing-based environmental assessment and monitoring – generation of operational baseline and enhanced experimental products in southern Africa. In: Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & Jürgens, N. (eds.): Biodiversity & Ecology 6 -  Climate change and adaptive land management in southern Africa: assessments, changes, challenges, and solutions: product of the first research portfolio of SASSCAL 2012-2018 (pp. 344-354)

A. Schneibel, A. Röder, M. Stellmes & D. Frantz (2018). Long-term land use change analysis in south-central Angola. Assessing the trade-off between major ecosystem services with remote sensing data. In: Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & Jürgens, N. (eds.): Biodiversity & Ecology 6 -  Climate change and adaptive land management in southern Africa: assessments, changes, challenges, and solutions: product of the first research portfolio of SASSCAL 2012-2018 (pp. 360-367)

Sonstige

D. Frantz (2017): Generation of Higher Level Earth Observation Satellite Products for Regional Environmental Monitoring. Ph.D Dissertation. Link

M. Stellmes, D. Frantz, M. Finckh, R. Revermann (2013): Okavango Basin - Earth Observation.  Biodiversity & Ecology, 5, 23-27. Link

A. Schneibel, M. Stellmes, D. Frantz, M. Finckh, R. Revermann (2013): Cusseque - Earth Observation. Biodiversity & Ecology, 5, 55-57. Link

D. Frantz, A. Schneibel, M. Stellmes, R. Revermann, M. Finckh (2013): Caiundo - Earth Observation.Biodiversity & Ecology, 5, 87-89. Link

A. Röder, A. Schneibel, M. Stellmes, D. Frantz (2013): Mashare - Earth Observation. Biodiversity & Ecology, 5, 113-115. Link

A. Schneibel, M. Stellmes, D. Frantz, R. Revermann, M. Finckh (2013): Seronga - Earth Observation.Biodiversity & Ecology, 5, 139-141. Link

Software

D. Frantz & M. Stellmes (2016): MODISFire Download