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Rommel E, Giese L, Fricke K, Kathöfer F, Heuner M, Mölter T, Deffert P, Asgari M, Näthe P, Dzunic F, et al. Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types. Remote Sensing. 2022; 14(4):954. https://doi.org/10.3390/rs14040954

Rommel, Edvinas, Laura Giese, Katharina Fricke, Frederik Kathöfer, Maike Heuner, Tina Mölter, Paul Deffert, Maryam Asgari, Paul Näthe, Filip Dzunic, and et al. 2022. "Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types" Remote Sensing 14, no. 4: 954. https://doi.org/10.3390/rs14040954

Rommel, E., Giese, L., Fricke, K., Kathöfer, F., Heuner, M., Mölter, T., Deffert, P., Asgari, M., Näthe, P., Dzunic, F., Rock, G., Bongartz, J., Burkart, A., Quick, I., Schröder, U., & Baschek, B. (2022). Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types. Remote Sensing, 14(4), 954. https://doi.org/10.3390/rs14040954