Publications
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Urgilés, G.; Celleri, R.; Bendix, J. & Orellana-Alvear, J. (2024): Identification of spatio-temporal patterns in extreme rainfall events in the Tropical Andes: A clustering analysis approach. Meteorological Applications 31(5), e70005.
Vorndran, M.; Thies, B. & Bendix, J. (2019-10-26). Forecasting radiation fogbycombining station measurementsandsatellite data usingmachine learning. Presented at AK Klima, Jesteburg.
Vorndran, M.; Schütz, A.; Bendix, J. & Thies, B. (2021-11-05). Training and validation weaknesses in pointwise classification-based radiation fog forecast using machine learning algorithms . Presented at AK Klima, Passau.
Vorndran, M.; Schütz, A.; Bendix, J. & Thies, B. (2022): Current training and validation weaknesses in classification-based radiation fog nowcast using machine learning algorithms. Artificial Intelligence for the Earth Systems 1(2), e210006.
Silva, B.; Lehnert, L.; Roos, K.; Fries, A.; Rollenbeck, R.; Beck, E. & Bendix, J. (2014): Mapping Two Competing Grassland Species from a Low-Altitude Helium Balloon. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(7), 3038 - 3049.
Gerstner, A.O.; Laffers, W.; Bootz, F.; Farkas, D.L.; Martin, R.; Bendix, J. & Thies, B. (2012): Hyperspectral imaging of mucosal surfaces in patients. Journal of Biophotonics 5(3), 255-262.
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