Bibliographies

Fallati, L., Polidori, A., Salvatore, C., Saponari, L., Savini, A., and Galli, P.(2019). Anthropogenic marine debris assessment with unmanned aerial vehicle imagery and deep learning: A case [...]

Deidun, A., Gauci, A., Lagorio, S., and Galgani, F. (2018).  Optimising beached litter monitoring protocols through aerial imagery, Mar. Pollut. Bull., 131, 212-217, [...]

Balsi, M., Moroni, M., Chiarabini, V., and Tanda, G.(2021). High-resolution aerial detection of marine plastic litter by hyperspectral sensing, Remote Sens. (Basel), 13, 1557, [...]

Aoyama, T. (2016). Extraction of marine debris in the Sea of Japan using satellite images, Proc. SPIE 9878, Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and [...]

Andriolo, U., Gonçalves, G., Sobral, P., and Bessa, F.(2021) Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast, Mar. Pollut. [...]

Andriolo, U., Garcia-Garin, O., Vighi, M., Borrell, A., and Gonçalves, G. (2022) . Beached and floating litter surveys by unmanned aerial vehicles: operational analogies and differences, Remote [...]

Aguilar, M. A., Jiménez-Lao, R., Ladisa, C., Aguilar, F. J., and Tarantino, E. (2022). Comparison of spectral indices extracted from Sentinel-2 images to map plastic covered greenhouses through [...]

Tasseron, Paolo F., Louise Schreyers, Joseph Peller, Lauren Biermann, and Tim van Emmerik. (2022). Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery, [...]

Papageorgiou, D., Topouzelis, K., Suaria, G., Aliani, S., and Corradi, P.(2022). Sentinel-2 Detection of Floating Marine Litter Targets with Partial Spectral Unmixing and Spectral Comparison with [...]

Iordache, M.-D., De Keukelaere, L., Moelans, R., Landuyt, L., Moshtaghi, M., Corradi, P., and Knaeps, E. (2022). Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial [...]