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PHASE: A geostatistical model for the Kriging-based spatial prediction of crop phenology using public phenological and climatological observations.

, , , and . Comput. Electron. Agric., (2016)

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Dr. -Ing. Daniel Holder University of Stuttgart

Anpassbare Mensch-Maschine-Schnittstellen zwischen Adaptivität und Individualisierung, , , , and . Stuttgarter Symposium für Produktentwicklung SSP 2023 : Tagungsband zur Konferenz, Stuttgart, 25. Mai 2023, page 524-535. Stuttgart, Fraunhofer IAO, (2023)

Daniel Kempf University of Stuttgart

GALÆXI Scaling, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
GALÆXI Scaling, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Verification: Convergence Tests, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Validation: Taylor-Green Vortex, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
 

Other publications of authors with the same name

Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods., , , and . Remote Sensing, 6 (12): 12247-12274 (2014)PHASE: A geostatistical model for the Kriging-based spatial prediction of crop phenology using public phenological and climatological observations., , , and . Comput. Electron. Agric., (2016)Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring., , , , , , and . Remote Sensing, 7 (3): 2871-2898 (2015)Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS)., , and . Remote Sensing, 9 (3): 254 (2017)Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors., , , , , and . Sensors, 17 (8): 1855 (2017)Reduction of Radiometric Miscalibration - Applications to Pushbroom Sensors., , , , , , , , , and . Sensors, 11 (6): 6370-6395 (2011)Phenological structuring of multi-temporal rapideye imagergy., , , and . IGARSS, page 4934-4937. IEEE, (2012)The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area., , , , and . Int. J. Applied Earth Observation and Geoinformation, (2016)Evaluation of methods to compute green-up dates based on daily NDVI observations., , and . IGARSS, page 4922-4925. IEEE, (2012)Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy., , , , , , , , , and 2 other author(s). Remote Sensing, 9 (12): 1319 (2017)