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Intercomparison of Leaf Area Index Products for a Gradient of Sub-Humid to Arid Environments in West Africa, , , and . Remote Sensing, 5 (3): 1235 (2013)Challenges in the generation of LAI time series for West Africa: difficulties and potential improvements, , , and . Global Vegetation Monitoring and Modeling, Avignon, Frankreich, (3.-7. 02 2014)Modelling the Gross Primary Productivity of West Africa with the Regional Biomass Model RBM+, using optimized 250 m \MODIS\ \FPAR\ and fractional vegetation cover information, , , , , and . International Journal of Applied Earth Observation and Geoinformation, (2015)An ESTARFM Fusion Framework for the Generation of Large-Scale Time Series in Cloud-Prone and Heterogeneous Landscapes, , , and . Remote Sensing, 8 (5): 425 (2016)Enhanced land surface dynamics from remote sensing and their use in regional climate modeling., , , , , , , , , and . (13.-17. 10 2014)Detection of inland water bodies with high temporal resolution - assessing dynamic threshold approaches., , , , , and . IGARSS, page 7647-7650. IEEE, (2016)Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco, , , , , and . Remote Sensing, 14 (17): 4327 (September 2022)Vegetation Stress Monitor - Assessment of Drought and Temperature-Related Effects on Vegetation in Germany Analyzing MODIS Time Series over 23 Years., , , and . Remote. Sens., 15 (22): 5428 (November 2023)Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series - The TIMELINE NDVI Product., , , , , , , , , and 1 other author(s). Remote. Sens., 15 (14): 3616 (July 2023)A First Assessment of Canopy Cover Loss in Germany's Forests after the 2018–2020 Drought Years, , , , , , and . Remote Sensing, 14 (3): 562 (January 2022)