Peer reviewed publications:
Filippo Bandini, Beat Lüthi and Peter Bauer-Gottwein: Unmanned Aerial Systems (UASS) For Monitoring Water Surface Elevation,Bathymetry,Surface Velocity and Discharge in Streams. Hydrolink, Issue 1, 2019 - Drone Special, pages 10-12
Filippo Bandini, Tanya Pheiffer Sunding, Johannes Linde, Ole Smith, Inger Klint Jensen, Christian Josef Köppl, Michael Butts, Peter Bauer-Gottwein- (2020): Unmanned Aerial System (UAS) observations of water surface elevation in a small stream: comparison of radar altimetry, LIDAR and photogrammetry techniques. Remote Sensing of Environment, Volume 237, Article 111487
Liguang Jiang, Filippo Bandini, Ole Smith, Inger Klint Jensen, Peter Bauer-Gottwein (2020): The value of distributed high-resolution UAV-borne observations of water surface elevation for hydrodynamic modelling. Remote Sensing, 12(7) doi:10.3390/rs12071171
Bandini, F., Lüthi, B., Peña-Haro, S., Borst, C., Liu, J., Karagkiolidou, S., . . . Bauer-Gottwein, P. (2021): A drone-borne method to jointly estimate discharge and Manning's roughness of natural streams. Water Resources Research 57(2) doi:10.1029/2020WR028266
Filippo Bandini, Lukas Kooij, Bjørn Karl Mortensen, Marie Boeskov Caspersen, Lasse Gammelby Thomsen, Daniel Olesen, Peter Bauer-Gottwein (2023): Bathymetry observations of inland waterbodies retrieved with Ground Penetrating Radar (GPR) on board Unmanned Aerial Systems (UASs) benchmarked against sonar and RTK GNSS measurements. Journal of Hydrology, 616, 128789
Filippo Bandini, Monica Coppo Frias, Jun Liu, Kasparas Simkus, Sofia Karagkiolidou, Peter Bauer-Gottwein (2022): Challenges with Regard to Unmanned Aerial Systems (UASs) Measurement of River Surface Velocity Using Doppler Radar. Remote Sensing, 14(5), 1277, https://doi.org/10.3390/rs14051277
Köppl, C. J., Malureanu, R., Dam-Hansen, C., Wang, S., Jin, H., Barchiesi, S., Serrano Sandí, J. M., Muñoz-Carpena, R., Johnson, M., Durán-Quesada, A. M., Bauer-Gottwein, P., McKnight, U. S., Garcia, M. (2021): Hyperspectral Reflectance Measurements from UAS under Intermittent Clouds: Correcting Irradiance Measurements for Sensor Tilt. Remote Sensing of Environment 267, 112719
Köppl, C. J., Lemaire, G. G., McKnight, U. S., Nørregaard, A. M., Thiim, T. C., Bjerg, P. L., Bauer-Gottwein, P., Garcia, M. (2023): Imaging Tracer Mixing Concentration 2D in a Stream with Hyperspectral Sensing from an Unmanned Aerial System. Submitted Manuscript
Köppl, C. J., McKnight, U. S., Schittich, A.-R., Lemaire, G. G., Figari, S., Bandini, F., Paz, V. S., Bauer-Gottwein, P., Garcia, M. (2021): Towards Water Quality Estimation through Hyperspectral Remote Sensing from Unmanned Aerial Systems in a Peri-Urban Stream. Submitted Manuscript
Jun Liu, Liguang Jiang, Filippo Bandini, Cecile M. M. Kittel, Nicola Balbarini, Nisha G. Hansted, Henrik Grosen, Peter Bauer-Gottwein (2022): Spatio-temporally Varying Manning Roughness in Rivers and Streams: A calibration approach using in-situ water level and UAS altimetry. Journal of Hydrology, 613, 128443
Gregory G. Lemaire, Jes Jessen Rasmussen, Sebastian Höss, Sebastian Figari Kramer, Anna- Ricarda Schittich, Yujian Zhou, Christian J. Köppl, Walter Traunspurger, Poul L. Bjerg, Ursula S. McKnight (2022): Impact of land use on spatiotemporal stream water quality: Implications for water governance in peri-urban catchments. Ecological Indicators, 143, 109360
Other publications:
Nyt måleudstyr skal redde danske byer fra oversvømmelse indefra. Ingeniøren, April 2019
Datasets:
Åmose Water Surface Elevation dataset, collected August-November 2018 and published in Bandini et al., 2020 and Jiang et al., 2020. The dataset is available at DOI: 10.5281/zenodo.3519888.
Gudenå bathymetry dataset, collected in 2020 and published in Bandini et al, 2021. The dataset is available at DOI: 10.5281/zenodo.5069750
UAS discharge dataset, collected in 2018-2020 and published in Bandini et al., 2020. The dataset is available at DOI: 10.5281/zenodo.3594392
PIV and Radar Doppler velocimetry datasets for rivers in Denmark and Sweden.The dataset is available at DOI: 10.5281/zenodo.5149856