This list summarizes all scientific publications that have used FORCE. If you have used FORCE, or are aware of unlisted papers, I would be happy if you you could send me your published papers with DOI, and I will include them here in this list (Contact).
in pressM. Schwieder, M. Wesemeyer, D. Frantz, K. Pfoch, S. Erasmi, J. Pickert, C. Nendel, and P. Hostert (in press): Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series. Remote Sensing of Environment, 112795.
2022L. Blickensdörfer, M. Schwieder, D. Pflugmacher, C. Nendel, S. Erasmi, and P. Hostert (2022): Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. Remote Sensing of Environment 269, 112831.K. Kowalski, A. Okujeni, M. Brell, and P. Hostert (2022): Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series. Remote Sensing of Environment 268, 112781.M. Ziliani, M. Altaf, B. Aragon, R. Houburg, T. Franz, Y. Lu, J. Sheffield, I. Hoteit, and M. McCabe (2022): Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model. Agricultural and Forest Meteorology 313, 108736.
2021J. Ardö (2021). A Sentinel-2 Dataset for Uganda. Data, 6.S. Cooper, A. Okujeni, D. Pflugmacher, S. van der Linden, and Hostert, P. (2021): Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping. International Journal of Applied Earth Observation and Geoinformation, 98, 102307.D. Frantz, F. Schug, A. Okujeni, C. Navacchi, W. Wagner, S. van der Linden, and P. Hostert (2021): National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment 252, 112128.H. Haberl, D. Wiedenhofer, F. Schug, D. Frantz, D. Virág, C. Plutzar, K. Gruhler, J. Lederer, G. Schiller, T. Fishman, M. Lanau, A. Gattringer, T. Kemper, G. Liu, H. Tanikawa, S. van der Linden, and P. Hostert (2021): High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany. Environmental Science & Technology.J. Kreyling, F. Tanneberger, F. Jansen, S. van der Linden, C. Aggenbach, V. Blüml, J. Couwenberg, W-J Emsens, H. Joosten, A. Klimkowska, W. Kotowski, L. Kozub, B. Lennartz, Y. Liczner, H. Liu, D. Michaelis, C. Oehmke, K. Parakenings, E. Pleyl, A. Poyda, S. Raabe, M. Röhl, K. Rücker, A. Schneider, J. Schrautzer, C. Schröder, F. Schug, E. Seeber, F. Thiel, S. Thiele, B. Tiemeyer, T. Timmermann, T. Urich, R. van Diggelen, K. Vegelin, E. Verbruggen, M. Wilmking, N. Wrage-Mönnig, L. Wołejko, D. Zak, and G. Jurasinski (2021): Rewetting does not return drained fen peatlands to their old selves. Nature Communications 12, 5693.F. Lobert, A.-K. Holtgrave, M. Schwieder, M. Pause, J. Vogt, A. Gocht, and S. Erasmi (2021): Mowing event detection in permanent grasslands: Systematic evaluation of input features from Sentinel-1, Sentinel-2, and Landsat 8 time series. Remote Sensing of Environment 267, 112751.A. Okujeni, C. Jänicke, S. Cooper, D. Frantz, P. Hostert, M. Clark, K. Segl, and S. van der Linden (2021): Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data. Remote Sensing of Environment 264, 112558.F. Schug, D. Frantz, S. van der Linden, and 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, e0249044.G. Tetteh, A. Gocht, S. Erasmi, M. Schwieder, and C. Conrad (2021): Evaluation of Sentinel-1 and Sentinel-2 Feature Sets for Delineating Agricultural Fields in Heterogeneous Landscapes. IEEE Access, 9, 116702 - 116719F. Weiser, A. Sauer, D. Gettueva, R. Field, S. Irl, O. Vetaas, A. Chiarucci, S. Hoffmann, J. Fernández-Palacios, R. Otto, A. Jentsch, A. Provenzale, and C. Beierkuhnlein (2021): Impacts of Forest Fire on Understory Species Diversity in Canary Pine Ecosystems on the Island of La Palma. Forests 12, 1638.
2020H. Bendini, L. Fonseca, M. Schwieder, P. Rufin, T. Korting, A. Koumrouyan, and P. Hostert (2020): Combining Environmental and Landsat Analysis Ready Data for Vegetation Mapping: A Case Study in the Brazilian Savanna Biome. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-2020.J. Borges, T. Higginbottom, E. Symeonakis, and M. Jones (2020). Sentinel-1 and Sentinel-2 Data for Savannah Land Cover Mapping: Optimising the Combination of Sensors and Seasons. Remote Sensing 12, 3862.P. Brun, A. Psomas, C. Ginzler, W. Thuiller, M. Zappa, and N. Zimmermann (2020): Large-scale early-wilting response of Central European forests to the 2018 extreme drought. Global Change Biology.S. Cooper, A. Okujeni, C. Jänicke, M.w Clark, S. van der Linden, and P. Hostert (2020): Disentangling fractional vegetation cover: Regression-based unmixing of simulated spaceborne imaging spectroscopy data. Remote Sensing of Environment 246, 111856.B. Jakimow, S. van der Linden, F. Thiel, D. Frantz, and Patrick Hostert (2020): Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer. Environmental Modelling & Software 125, 104631.S. König, J. Schultz, O. Dubovyk, and F. Thonfeld (2020): Assessment of Drought Effects on Forests using Non-Parametric Methods and Satellite Imagery. 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart – Publikationen der DGPF, Band 29.K. Kowalski, C. Senf, P. Hostert, and D. Pflugmacher (2020): Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series. International Journal of Applied Earth Observation and Geoinformation 92, 102172.J. Rosentreter, R. Hagensieker, and B. Waske (2020): Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks. Remote Sensing of Environment 237, 111472.D. Scheffler, D. Frantz, and 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.F. Schug, D. Frantz, A. Okujeni, S. van der Linden, and 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.T. Wellmann, F. Schug, D. Haase, D. Pflugmacher, and S. van der Linden (2020): Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series. Landscape and Urban Planning 202, 103857.
2019A. Dara, M. Baumann, N. Hölzel, P. Hostert, J. Kamp, D. Müller, B. Ullrich, and T. Kuemmerle (2019): Post-Soviet Land-Use Change Affected Fire Regimes on the Eurasian Steppes. Ecosystems.K. Lebek, C. Senf, D. Frantz, J. Monteiro, T. Krüger (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 19 (7), 1963-1971.L. Meyer, M. Heurich, B. Beudert, J. Premier, and D. Pflugmacher (2019): Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests. Remote Sensing 11, 1160.S. Nink, J. Hill, J. Stoffels, H. Buddenbaum, D. Frantz, and 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.P. Rufin, D. Frantz, S. Ernst, A. Rabe, P. Griffiths, M. Özdoğan, and P. Hostert (2019): Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning. Remote Sensing 11, 232.
2018M. de Blécourt, A. Röder, A. Gröngröft, S. Baumann, D. Frantz, and 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 R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive land management in southern Africa - assessments, changes, challenges, and solutions. Klaus Hess Publishers, Göttingen & Windhoek, pp. 242-250.D. Parduhn, and D. Frantz (2018):Seeing deforestation in Zambia - On the discrepancy between biophysical land-use changes and social perception. In R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive land management in southern Africa - assessments, changes, challenges, and solutions. Klaus Hess Publishers, Göttingen & Windhoek, pp. 317-323.A. Röder, M. Stellmes, D. Frantz, and J. Hill (2018): Remote sensing-based environmental assessment and monitoring – generation of operational baseline and enhanced experimental products in southern Africa. In R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive land management in southern Africa - assessments, changes, challenges, and solutions. Klaus Hess Publishers, Göttingen & Windhoek, pp. 344-3354.A. Schneibel, A. Röder, M. Stellmes, and 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 R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive land management in southern Africa - assessments, changes, challenges, and solutions. Klaus Hess Publishers, Göttingen & Windhoek, pp. 360-367.A. Schneibel (2018). Assessment of Ecosystem service provision in a dry tropical forest environment. Using the full Landsat archive to determine trade-off processes in south-central Angola. Ph.D. dissertation. Faculty of Regional and Environmental Sciences, Trier University, Trier, Germany.
2017A. 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.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.
2016A. 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.