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Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von Landnutzungsklassifikationen, , , , , , , and . (21.-22. 01 2015)Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity - Part II: Geomorphology, Terrain and Surfaces., , , , , , , , , and 25 other author(s). Remote. Sens., 12 (22): 3690 (2020)Landwirtschaftliches Beratungsinstrument für das Erosionsmonitoring auf der Basis von räumlich und zeitlich hoch aufgelösten Geodaten., and . GIL Jahrestagung, volume P-253 of LNI, page 141-144. GI, (2016)Phenological structuring of multi-temporal rapideye imagergy., , , and . IGARSS, page 4934-4937. IEEE, (2012)Phenological NDVI time series for the dynamic derivation of soil coverage information., , and . IGARSS, page 4278-4281. IEEE, (2017)A Theory of Auditability for Allocation and Social Choice Mechanisms., and . FAccT, page 518. ACM, (2023)DYNAC: A framework for the dynamic derivation of the usle C-factor using high temporal multi-spectral satellite imagery., , , and . IGARSS, page 5072-5075. IEEE, (2014)Towards Optimising the Derivation of Phenological Phases of Different Crop Types over Germany Using Satellite Image Time Series., , , , and . Remote. Sens., 16 (17): 3183 (September 2024)Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Industrie., , , , , , , , , and 20 other author(s). GIL Jahrestagung, volume P-330 of LNI, page 41-52. Gesellschaft für Informatik e.V., (2023)PhenoWin - An R Shiny application for visualization and extraction of phenological windows in Germany., , and . Comput. Electron. Agric., (2020)